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When you think of a company that you love, who comes to mind? It’s probably a company that you are so loyal to that it would take a seismic shift to get you to move to a competitor. As far as love goes, you probably can only think of a handful of companies that you would describe like that. But have you ever thought about why that is? In this article, we will break down the three levels of customer retention and what every company can do to move closer to the customer. Not so long ago, in a place close to here… You love and are passionate about the companies you have a personal connection with. love as “strong affection for another arising out of kinship or personal ties.” In the age of self-service, it's difficult to remember the days when companies were intensely personal. We used to buy products and services face-to-face with a company’s representative. Often, this individual was already in the buyer’s social circle. This meant that the buyer made their buying decision based on their personal connection, which the company ultimately benefited from in customer loyalty. It is much harder to switch to a competitor when a buyer has to have a conversation with someone they care about. Mirriam-Webster describes When things digitized in the 1980s, companies cut front-line staff and automated their jobs with computers. While this was an effective cost-cutting strategy, building a personal relationship with each customer became harder. Over time, companies lost touch with prospective and existing customers. You can directly correlate the rise of Google and its ads in the early 2000s with companies trying to become top-of-mind again after years of neglecting the relationship with customers. Businesses became removed from people’s social circles, so Google allowed them to do the next best thing: targeted advertising in the comfort of people’s homes. Digital advertising replaced the door-to-door sales force, but within 10 years, ad blockers reduced the effectiveness of ad marketing. Just as ads supplanted local representatives, ads are giving way to the next evolution of ‘relationship building at a distance’: content marketing. Content marketing is and works by building trust between buyers and sellers. Appealing to your logic, rather than emotion, companies can build a connection with those they want to purchase their products. However, just like with digital advertising, there will come a time in the not-so-distant future when content marketing stops being effective. highly effective If introducing new technology to replace old technology to replace interpersonal connections in sales is feeling circular, it is. But no marketing will ever supersede the trust built when people bought products and services from people in their social network. The best this technology can do is come close. The reason is that current marketing (and its supporting technology) takes a cookie-cutter approach to building trust. While scalable, you are only ever creating content that will resonate with a subset of customers. The customer loyalty pyramid We started this article by asking you to identify a company that you love. But now we want to tweak the question - how do you feel about the rest of the companies you frequent or buy from? What emotions come to mind? If you are not feeling anything, that's quite normal, as most companies are so disconnected from their customers, that indifference is the primary emotion. The customer loyalty pyramid has three tiers, divided 80%, 15%, and 5%. The bottom, where most companies live, is the ‘Service’ tier. These companies compete for loyalty based on the service they provide and are the most replaceable. Customers compare these companies with indifference, and the non-existent relationship between them and their buyers is purely convenience-based. Geico is an example of a company in this tier. Buyers decide to purchase from them based on price, which is also the defining characteristic of companies in this tier. Because of the strict transactional relationship between these companies and their customers, as soon as a lower price is available from a competitor, the customer will churn. We reserve the middle ‘Value’ tier for companies that lead with corporate values that align with those of their buyers. These companies have a stronger pull because buyers ‘like’ these companies. Customers prefer to buy from companies that align with their values. There are fewer companies in this tier and those that are, maintain a measure of differentiation between their direct ‘Value’ competitors and those in the lower ‘Service’ tier. An example of a company that now lives in ‘Value,’ but was recently in ‘Service’ is Southwest Airlines. They rejuvenated their corporate brand, which is encompassed in their move from a slogan of ‘THE Low Fare Airline’ to their values-based ‘One Heart.’ By aligning with the values of customers who want excellent service and cheap fares, they have attracted a wide fan base that pays more for their services than their lower-cost competitors. Their retention is much higher and customer lifetime value is longer than other airlines in the ‘Service’ tier. An interesting phenomenon is that while companies can move from the ‘Service’ tier to the ‘Values’ tier, it is extremely difficult to move from ‘Values’ to ‘Interpersonal Relationship’ (it is possible to drop, though). The handful of companies in the top tier started there. A little later in this article, we will unpack why that is. The interpersonal relationship tier is exactly that - buyers feel that they have a personal connection beyond service or values. Another way to think about it is customers who buy from companies in this tier may feel that they have something at stake. Because of that loyalty, customers will stay indefinitely. So how do you get yourself into the top category? Moving toward the customer Jeffrey Hall, a communications professor at the University of Kansas who researches interpersonal communication, calculated just how long you have to spend in the tunnel before you reach the light at the end: On average, it takes about 50 hours of time with someone before you consider them a casual friend, 90 hours before you feel comfortable upgrading them to just “friend,” and around 200 hours of quality time before you’d consider the two of you to be close. These interactions used to be made by the company’s sales representatives, who would build trust over hundreds of hours. We use how normal social interactions work between two people and apply it to building relationships between companies and their buyers. By merely existing, companies are in the ‘Service’ tier. Moving to the ‘Values’ level takes at least 90 highly personalized interactions. As mentioned above, it is almost impossible to move from ‘Values’ to ‘Interpersonal Relationship’ - doing so requires rebuilding the relationship from scratch. What is easier is starting with personal relationships. Machine Learning to Building Loyalty Replicating a face-to-face relationship using digital technology is difficult. Relationships are highly variable, and that variability makes it difficult for most software to adapt to an individual. Salespeople used to have intimate knowledge of someone’s life and with that knowledge, market-relevant products and services to help them. Machine learning (ML) allows us to communicate with customers much the same way as if they had a personal relationship with the company’s representative. Better yet, ML can signal to account managers and the retention desk when a personal touch, in the form of a text, phone call, or in-person visit, is necessary. In that same vein, ML can provide recommendations for what a customer’s real-time needs are, and what messaging would be most effective in addressing their concerns. This technology pays dividends when it comes time for retention. Regardless of why someone buys from you, it's 5-25x cheaper to keep their business than to sell to a new customer. Rather than sending automated, depersonalized communications, further the personal relationship that a buyer has with your company by providing them with relevant and timely information. Conclusion It is becoming harder to compete on service and values alone, as these customers have proven that price sensitivity is their most important consideration. If this continues, companies will be forced to cut additional costs (likely in customer service) in order to offer lower and lower prices. Competing on the personal relationship tier isn't just about building customer loyalty on a more competitive level - it's about building customer loyalty that is out of this universe. Building interpersonal relationships with customers at scale is challenging. It requires a different approach, strategic outlook, and the adoption of novel technology like machine learning. For most companies who are used to competing on cost alone, the investment required to compete in the relationship tier may seem staggering. But for the companies that are already there, the results (and dividends) more than pay for themselves. Also Published Here

‘Maslow's Hierarchy of Customer Retention’: The Secret to Improving Churn

BURLINGTON, United Kingdom, May 2nd, 2024/Chainwire/ $SNUKE, a new meme coin inspired by the humor of the popular TV show "South Park" and based on the Solana blockchain, has recently achieved significant milestones in its presale. These achievements underscore its potential among the array of Solana-based meme coins poised for success. Early Success in the $SNUKE Presale $SNUKE, a meme coin with vibrant community backing, has raised over 300 $SOL in the first four days of its 25-day token presale. The $SNUKE Presale has a total allocation of 600 Million $SNUKE Tokens for early Presale participants. According to the SNUKE team, the initial progress with both retail investors and prominent Solana stakeholders highlights the interest in their community-focused approach and transparent fundraising model. $SNUKE is setting a new standard for fairness in the crypto space with no insider allocation. SNUKE's team is optimistic that the presale, which commenced on April 25th, will encourage widespread participation by offering every early adopter an opportunity to secure tokens. $SNUKE Presale: Early Access to 60% of Tokens and Zero Transaction Tax The $SNUKE Presale allocates 60% of its total supply of 1 Billion #SNUKE Tokens to early adopters. The $SNUKE Token offers a commitment of 0% tax on transactions, with liquidity pool (LP) tokens burnt to ensure security and the minting function permanently disabled to prevent the creation of new tokens How to Participate in the $SNUKE Presale To participate in the $SNUKE Presale, users can follow these simple steps: Wallet Preparation: Users should ensure they have a compatible Solana wallet, such as Phantom or Solflare, set up for participation.
$SOL Acquisition: Users should acquire $SOL from Binance or Coinbase, considering applicable transaction fees, and then transfer it to their Solana Compatible self-custodial wallet.
Contribution: Users should visit the $SNUKE presale page and adhere to the provided instructions to transfer $SOL to the designated address.
Token Tracking: Users can utilize the user-friendly dashboard to monitor the $SNUKE tokens entitled based on the total $SOL contributed.
Token Receipt: After the presale, $SNUKE tokens will be airdropped to the user's wallet in proportion to their contribution. Joining the $SNUKE Community Joining $SNUKE is an opportunity to be part of a movement set to redefine meme coins on Solana. With a growing social media presence and a surge in community engagement, the $SNUKE team sees a great future for $SNUKE in the industry. Users can stay connected with the $SNUKE community and receive updates or information about partnerships by joining the $SNUKE Telegram group and following us on Twitter. About $SNUKE $SNUKE is a pioneering project launched on the Solana blockchain, inspired by the beloved "South Park" series. It blends humor with investment potential, designed to captivate meme lovers and crypto investors alike. Users can stay updated by following $SNUKE on social media: Website: https://snuke.wtf Twitter: https://twitter.com/snukecoin Telegram: https://t.me/snukecoin Contact Ms Barbara Reece Snuke contact@snuke.wtf This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. BURLINGTON, United Kingdom, May 2nd, 2024/Chainwire/ $SNUKE, a new meme coin inspired by the humor of the popular TV show "South Park" and based on the Solana blockchain, has recently achieved significant milestones in its presale. These achievements underscore its potential among the array of Solana-based meme coins poised for success. Early Success in the $SNUKE Presale $SNUKE, a meme coin with vibrant community backing, has raised over 300 $SOL in the first four days of its 25-day token presale. The $SNUKE Presale has a total allocation of 600 Million $SNUKE Tokens for early Presale participants. According to the SNUKE team, the initial progress with both retail investors and prominent Solana stakeholders highlights the interest in their community-focused approach and transparent fundraising model. $SNUKE is setting a new standard for fairness in the crypto space with no insider allocation. SNUKE's team is optimistic that the presale, which commenced on April 25th, will encourage widespread participation by offering every early adopter an opportunity to secure tokens. $SNUKE $SNUKE $SNUKE Presale: Early Access to 60% of Tokens and Zero Transaction Tax The $SNUKE Presale allocates 60% of its total supply of 1 Billion #SNUKE Tokens to early adopters. The $SNUKE Token offers a commitment of 0% tax on transactions, with liquidity pool (LP) tokens burnt to ensure security and the minting function permanently disabled to prevent the creation of new tokens How to Participate in the $SNUKE Presale To participate in the $SNUKE Presale, users can follow these simple steps: Wallet Preparation: Users should ensure they have a compatible Solana wallet, such as Phantom or Solflare, set up for participation. $SOL Acquisition: Users should acquire $SOL from Binance or Coinbase, considering applicable transaction fees, and then transfer it to their Solana Compatible self-custodial wallet. Contribution: Users should visit the $SNUKE presale page and adhere to the provided instructions to transfer $SOL to the designated address. Token Tracking: Users can utilize the user-friendly dashboard to monitor the $SNUKE tokens entitled based on the total $SOL contributed. Token Receipt: After the presale, $SNUKE tokens will be airdropped to the user's wallet in proportion to their contribution. Wallet Preparation: Users should ensure they have a compatible Solana wallet, such as Phantom or Solflare, set up for participation. $SOL Acquisition: Users should acquire $SOL from Binance or Coinbase, considering applicable transaction fees, and then transfer it to their Solana Compatible self-custodial wallet. Contribution: Users should visit the $SNUKE presale page and adhere to the provided instructions to transfer $SOL to the designated address. presale page presale page Token Tracking: Users can utilize the user-friendly dashboard to monitor the $SNUKE tokens entitled based on the total $SOL contributed. Token Receipt: After the presale, $SNUKE tokens will be airdropped to the user's wallet in proportion to their contribution. Joining the $SNUKE Community Joining $SNUKE is an opportunity to be part of a movement set to redefine meme coins on Solana. With a growing social media presence and a surge in community engagement, the $SNUKE team sees a great future for $SNUKE in the industry. Users can stay connected with the $SNUKE community and receive updates or information about partnerships by joining the $SNUKE Telegram group and following us on Twitter . Telegram Telegram Twitter Twitter About $SNUKE $SNUKE is a pioneering project launched on the Solana blockchain, inspired by the beloved "South Park" series. It blends humor with investment potential, designed to captivate meme lovers and crypto investors alike. Users can stay updated by following $SNUKE on social media: Website: https://snuke.wtf https://snuke.wtf https://snuke.wtf Twitter: https://twitter.com/snukecoin https://twitter.com/snukecoin https://twitter.com/snukecoin Telegram: https://t.me/snukecoin https://t.me/snukecoin https://t.me/snukecoin Contact Ms Barbara Reece Snuke contact@snuke.wtf This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

$SNUKE Presale Reaches 300 $SOL Milestone

Tron price has been on an upward trajectory recently as it successfully achieved the TVL milestone. Borroe Finance made a historic presale in the crypto market, shifting investors' attention toward presale coins. As the crypto market is making significant progress, another trending crypto right now is the , which is getting the spotlight. BlockDAG coin Besides being a user-centric disruptive brand with amazing options for miners and avid investors, BlockDAG gives back to its community members by announcing a gleam event and making a 2 million coin giveaway. Hype Behind Borroe Finance Presale Recently, a new Polygon-based coin has significantly hiked in the crypto world called Borroe Finance. If you're trading in the crypto market, you'll know about this new presale coin performing exceptionally well. Borroe Finance is using AI-generated funding to merge with Web3, providing safe, secure, and efficient payment solutions for its investors. How does this benefit its investors? They can buy and sell future NFTs through a secure and transparent platform. To make it more interesting, sellers listing their NFTs can offer considerable discounts to encourage more buyers. Tron Price Surges, Hitting TVL Milestone In the past week, Tron has managed to trend in the crypto market as it achieved the TVL milestone. The Tron price is significantly increasing, becoming a trending crypto right now, after reaching the mentioned mark. Tron is one of the crypto coins that is decentralized and runs on blockchain technology. Tron helps to connect content creators and their audiences directly without using any medium. Not only that, Tron provides a platform for developers to program dApps, also known as decentralized applications. BlockDAG $2M Giveaway: Batch 2 Almost Sold Out BlockDAG is rising in 2024, with a rapid sellout of batch 1. The project has entered the presale of batch 2 at an attractive price of 0.0015. With a projected $600 million roadmap in its pipeline, BDAG looks promising. BlockDAG has attracted attention from notable investors and announced a $2 million giveaway for its fortunate investors. Community members have the chance to share in this significant prize pool, provided by BlockDAG, with the condition that participation in the presale is a prerequisite. Details on how to join the presale and enhance the probability of winning are available on the BlockDAG website. BlockDAG, now in its second batch of sales, is nearing a sell-out, presenting a valuable opportunity for investors to join in on its substantial giveaway. Positioned to make a significant impact in the cryptocurrency market, BlockDAG is projected to reach $600 million in sales by the end of 2024, setting it up as one of the most robust presale coins available. The company's commitment to its users is evident through its innovative offerings, including a range of highly efficient mining devices and a mobile app designed to minimize battery consumption. This user-centric approach has not only fostered admiration within the community but has also contributed to BlockDAG's strong standing in the crypto sphere. Future Outlook Following a notable price surge in the Tron cryptocurrency, after achieving a Total Value Locked (TVL) milestone, it appears to be an opportune moment for investment. Similarly, BlockDAG has captured legacy crypto investors' attention, paralleling Tron's success. The announcement of a substantial giveaway by BlockDAG has significantly bolstered trust within both the broader crypto community and BlockDAG's own followers. This surge in confidence is evidenced by the rapid sale of batch 2, demonstrating the strong belief investors have in BlockDAG's potential. Join BlockDAG Presale | | | Website Presale Telegram Discord This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

BlockDAG's Gleam Event Reaches TVL Milestone - How They're Celebrating With Their Investors

BlockDAG এর গ্লেম ইভেন্ট TVL মাইলস্টোন ছুঁয়েছে - তারা কীভাবে তাদের বিনিয়োগকারীদের সাথে উদযাপন করছে

BlockDAGs Gleam-Event erreicht TVL-Meilenstein – wie sie mit ihren Investoren feiern

El evento Gleam de BlockDAG alcanza un hito en TVL: cómo lo celebran con sus inversores

L'événement Gleam de BlockDAG atteint le jalon TVL - Comment ils célèbrent avec leurs investisseurs

ब्लॉकडीएजी का ग्लेम इवेंट टीवीएल माइलस्टोन तक पहुंच गया - वे अपने निवेशकों के साथ कैसे जश्न मना रहे हैं

BlockDAG の Gleam イベントが TVL マイルストーンを達成 - 投資家とともに祝う様子

BlockDAG의 Gleam 이벤트가 TVL 이정표에 도달 - 투자자들과 함께 축하하는 방법

O evento Gleam da BlockDAG atinge o marco da TVL - como eles estão comemorando com seus investidores

Мероприятие BlockDAG Gleam достигло важной вехи TVL – как они празднуют вместе со своими инвесторами

BlockDAG'ın Gleam Etkinliği TVL Dönüm Noktasına Ulaştı - Yatırımcılarıyla Nasıl Kutluyorlar

Sự kiện Gleam của BlockDAG đạt được cột mốc TVL - Cách họ ăn mừng cùng các nhà đầu tư của mình

BlockDAG 的 Gleam 活动达到 TVL 里程碑 - 他们如何与投资者一起庆祝

Around the World in Eighty Days by Jules Verne, is part of the HackerNoon Books Series. You can jump to any chapter in this book . IN WHICH PHILEAS FOGG AT LAST REACHES LONDON here CHAPTER XXXIV. IN WHICH PHILEAS FOGG AT LAST REACHES LONDON Phileas Fogg was in prison. He had been shut up in the Custom House, and he was to be transferred to London the next day. Passepartout, when he saw his master arrested, would have fallen upon Fix had he not been held back by some policemen. Aouda was thunderstruck at the suddenness of an event which she could not understand. Passepartout explained to her how it was that the honest and courageous Fogg was arrested as a robber. The young woman’s heart revolted against so heinous a charge, and when she saw that she could attempt to do nothing to save her protector, she wept bitterly. As for Fix, he had arrested Mr. Fogg because it was his duty, whether Mr. Fogg were guilty or not. The thought then struck Passepartout, that he was the cause of this new misfortune! Had he not concealed Fix’s errand from his master? When Fix revealed his true character and purpose, why had he not told Mr. Fogg? If the latter had been warned, he would no doubt have given Fix proof of his innocence, and satisfied him of his mistake; at least, Fix would not have continued his journey at the expense and on the heels of his master, only to arrest him the moment he set foot on English soil. Passepartout wept till he was blind, and felt like blowing his brains out. Aouda and he had remained, despite the cold, under the portico of the Custom House. Neither wished to leave the place; both were anxious to see Mr. Fogg again. That gentleman was really ruined, and that at the moment when he was about to attain his end. This arrest was fatal. Having arrived at Liverpool at twenty minutes before twelve on the 21st of December, he had till a quarter before nine that evening to reach the Reform Club, that is, nine hours and a quarter; the journey from Liverpool to London was six hours. If anyone, at this moment, had entered the Custom House, he would have found Mr. Fogg seated, motionless, calm, and without apparent anger, upon a wooden bench. He was not, it is true, resigned; but this last blow failed to force him into an outward betrayal of any emotion. Was he being devoured by one of those secret rages, all the more terrible because contained, and which only burst forth, with an irresistible force, at the last moment? No one could tell. There he sat, calmly waiting—for what? Did he still cherish hope? Did he still believe, now that the door of this prison was closed upon him, that he would succeed? However that may have been, Mr. Fogg carefully put his watch upon the table, and observed its advancing hands. Not a word escaped his lips, but his look was singularly set and stern. The situation, in any event, was a terrible one, and might be thus stated: if Phileas Fogg was honest he was ruined; if he was a knave, he was caught. Did escape occur to him? Did he examine to see if there were any practicable outlet from his prison? Did he think of escaping from it? Possibly; for once he walked slowly around the room. But the door was locked, and the window heavily barred with iron rods. He sat down again, and drew his journal from his pocket. On the line where these words were written, “21st December, Saturday, Liverpool,” he added, “80th day, 11.40 a.m.,” and waited. The Custom House clock struck one. Mr. Fogg observed that his watch was two hours too fast. Two hours! Admitting that he was at this moment taking an express train, he could reach London and the Reform Club by a quarter before nine, p.m. His forehead slightly wrinkled. At thirty-three minutes past two he heard a singular noise outside, then a hasty opening of doors. Passepartout’s voice was audible, and immediately after that of Fix. Phileas Fogg’s eyes brightened for an instant. The door swung open, and he saw Passepartout, Aouda, and Fix, who hurried towards him. Fix was out of breath, and his hair was in disorder. He could not speak. “Sir,” he stammered, “sir—forgive me—most—unfortunate resemblance—robber arrested three days ago—you are free!” Phileas Fogg was free! He walked to the detective, looked him steadily in the face, and with the only rapid motion he had ever made in his life, or which he ever would make, drew back his arms, and with the precision of a machine knocked Fix down. “Well hit!” cried Passepartout, “Parbleu! that’s what you might call a good application of English fists!” Fix, who found himself on the floor, did not utter a word. He had only received his deserts. Mr. Fogg, Aouda, and Passepartout left the Custom House without delay, got into a cab, and in a few moments descended at the station. Phileas Fogg asked if there was an express train about to leave for London. It was forty minutes past two. The express train had left thirty-five minutes before. Phileas Fogg then ordered a special train. There were several rapid locomotives on hand; but the railway arrangements did not permit the special train to leave until three o’clock. At that hour Phileas Fogg, having stimulated the engineer by the offer of a generous reward, at last set out towards London with Aouda and his faithful servant. It was necessary to make the journey in five hours and a half; and this would have been easy on a clear road throughout. But there were forced delays, and when Mr. Fogg stepped from the train at the terminus, all the clocks in London were striking ten minutes before nine. [1] Having made the tour of the world, he was behind-hand five minutes. He had lost the wager! A somewhat remarkable eccentricity on the part of the London clocks!—TRANSLATOR. [1] About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Jules Verne (1994). Around the World in Eighty Days. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/files/103/103-h/103-h.htm This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

IN WHICH PHILEAS FOGG AT LAST REACHES LONDON

Hey Hackers! On April 19th, Voyager an agreement with the United States Federal Government to allow the $1.02 billion deal with to move forward. announced Binance The agreed upon resolution, with the U.S. Government, will allow the Binance/Voyager deal to move forward without the exculpation provision, which would relieve Voyager officials from any liability. Without the exculpation provision, Voyager officials will now be liable to criminal charges if regulators decide to investigate them for their role in the collapse of the Voyager cryptocurrency exchange. This positive resolution comes almost a month after the Binance/Voyager by U.S. District Judge Jennifer Rearden. deal was halted The purchase agreement between Binance and Voyager was to back in December 2022, and received in early March 2023, despite regulatory complaints from the SEC and CFTC. originally agreed final approval The Official Committee of Unsecured Creditors of Voyager took to to share the amazing news. Twitter https://twitter.com/VoyagerUCC/status/1648753616931495936?embedable=true I have been covering this Binance/Voyager since the beginning, as I am one of the many Voyager customers/victims, and this has been a hell of a journey. I would love this to be the last time I write about this Binance/Voyager deal…that is until I write about finally receiving my long-awaited crypto assets! What are your thoughts on this news? Will this be the final update regarding the Voyager and Binance drama? What else could happen now to stop this deal? Are you excited to finally be getting your crypto assets back? Let me know in the comments below! Enter my on Publish0x to win yourself some free Crypto! Monthly Giveaway Check out my Socials: https://linktr.ee/zerorequiem0x See ya! :) Also published here.

The U.S. Government Reaches Agreement with Voyager: $1.02 Billion Binance Deal to Move Forward

El gobierno de EE. UU. llega a un acuerdo con Voyager: Binance $ 1.02 Billion Deal to Move Forward

Le gouvernement américain conclut un accord avec Voyager : Binance accorde 1,02 milliard de dollars pour aller de l'avant

अमेरिकी सरकार वायेजर के साथ समझौते पर पहुंची: आगे बढ़ने के लिए बिनेंस $ 1.02 बिलियन डील

米国政府はボイジャーと合意に達しました：バイナンスは前進するために10.2億ドルの取引を行います

O governo dos EUA chega a um acordo com a Voyager: o acordo de US$ 1,02 bilhão da Binance avança

Chính phủ Hoa Kỳ đạt được thỏa thuận với Voyager: Thỏa thuận trị giá 1,02 tỷ đô la của Binance để tiến lên phía trước

美国政府与 Voyager 达成协议：Binance 10.2 亿美元的交易向前推进

THE ENTERTAINMENT OF MR. DIRECK REACHES A CLIMAX

CHALLENGE Doximity sets out to improve application stability for its Android application as medical professionals rely on its services to communicate remotely. RESULTS The Android team improves app stability by aligning teams, streamlining workflow, and achieving 99.99% stability with Bugnsnag. About Doximity : Healthcare Industry : Android, iOS, Web App & Platforms : 650 Employees San Francisco, CA Headquarters: Doximity Delivers Remote Capabilities to Medical Professionals Doximity is the leading digital platform for medical professionals. Recognizing that clinicians are mobile by nature, Doximity delivers a suite of tools that enable verified members to perform their jobs on-the-go or while working remotely. The company’s network members include doctors, nurses, nurse practitioners, physician assistants, and pharmacists. Doximity and its Android mobile application serve an important need as medical professionals have turned to the multifaceted app for activities such as telemedicine, patient referral facilitation, and targeted medical news. “Just like everyone else these days, doctors are starting to work from home and need a way to contact their patients,” states Matt Rea, Android Engineering Manager at Doximity. “Any increase in usage can triple or quadruple any issues you might have in the app, so crashes and infrastructure errors can’t be taken lightly.” Focus on Stability Drives Visibility and Strong User Experiences In late 2019, the Android team implemented Bugsnag, which Matt describes as fortuitous. “Going into 2020, we had the goal to work on improving stability,” Matt explains. “Once I started looking into Bugsnag, I realized how full-featured it was. Luckily, we implemented Bugsnag, so that was perfect timing for us.” Another reason the Android team decided to implement Bugsnag was to benefit from its widespread adoption by Doximity’s backend and web teams. Approximately 75 projects and applications were already using the error monitoring solution. “We wanted to have one place, specifically Bugsnag’s Stability Center page, where we could view application health for the entire system” -Matt Rea, Android Engineering Manager If a major issue or outage happens or a database goes down, we can see everything that spikes,” Matt states. “That kind of high-level view is invaluable.” Rounding out the decision was a recognition by the Android team that they needed more than crash-free scores to ensure strong user experiences. Now with measuring application stability, Doximity gains a more reflective and holistic view of their application health. As Matt explains, “Looking at crashes is only one piece of the picture. Obviously, you never want an app to crash, but you also don’t want an app to be available but not useful. Those are the kinds of things that, looking only at crash-free ratings, for example, you would miss.” Bugsnag Fosters Productivity and Team Alignment with Remote Work Matt acknowledges that it is paramount for managers to ensure that employees are feeling confident with their work.  Finding ways to reduce burnout around tasks like error detection became a priority. “Bugsnag made it much easier to track down bugs,” Matt states. “Instead of banging your head against the wall to figure out how an error occurred, the breadcrumbs that Bugsnag attaches to errors really help. We make good use of breadcrumbs.” The team also benefits from integrating Bugsnag with Slack to receive focused error alerts. As the Android lead, Matt also appreciates the metadata that Bugsnag provides. “Android is a pretty fragmented ecosystem, so a bug might occur only on Samsung or LG devices or certain OS versions, which can be pretty hard to track down from a normal QA bug reporting perspective,” Matt explains. “Bugsnag gives the engineer more of a starting point, more of a big picture around ‘how did this occur?,’ which definitely makes things easier.” To minimize the impact of errors on its user base, the Android team takes advantage of phased rollouts, supported by Bugsnag. With two week release cycles, Doximity sends out new releases to only 10% of its user base to ensure there are no spikes in errors or crashes. “Tracking releases is one of my primary responsibilities—to make sure releases go out on time and are stable—so the Releases dashboard is one of my favorite features in Bugsnag.” -Matt Rea, Android Engineering Manager “We generally have several versions in production, so I can see the past five releases, what the adoption is on each release, and what the stability is for each release,” Matt states. Android Team Achieves Stability Score Target of 99.99% and Sets New Stability Goals for the Future After implementing Bugsnag, the Android team focused initially on resolving outstanding crashes to improve the overall stability of the app. “Thanks to Bugsnag, we were able to get on top of a few big crashes right away,” Matt explains. The team adopted Bugsnag’s stability targets in order to establish goals and achieve strong stability for users. “While 99.99% seemed pretty lofty and difficult to achieve, we got there over the course of 2019 and into 2020. I think it’s a pretty good goal to try to hit that 99.99% with each release.” -Matt Rea, Android Engineering Manager Today, the Android team benefits from streamlined workflows and a quick understanding of the source for any new errors. Next, they are starting to (application not responding) and native crashes for features such as video calling that use native libraries. Matt also plans to broaden his use of Bugsnag’s user stability score. “So far, I’ve been mainly focused on the session score, although I’ve been keeping an eye on the user stability score as well. I would like to start leveraging that in the future.” look into Android ANRs Download Customer Story PDF

Domixity Reaches 99.99% Stability on Android App with Bugsnag

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan;
(2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan;
(3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan;
(4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan;
(5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. Table of Links Abstract and Intro Setup Result Summary and Discussion Appendix A. Dual Energy Formalism B. Convergence of Results C. Change of the Mass Loss Rate in MHD Regime References 2. SETUP We conduct a series of numerical simulations of a rotating magnetic wind from a massive WD merger product with a stable nuclear burning occurring at the near surface region. We first describe the general numerical setup including the governing equations, the Riemann solver, the mesh decomposition, and the boundary conditions in Sec. 2.1. We then describe the source term that represents the injection of mass and internal energy at the near surface nuclear burning region in Sec. 2.2. Finally, we elaborate on setups related to magnetic fields. 2.1. Magnetohydrodynamic (MHD) equations We numerically integrate ideal MHD equations with central gravity; We use the HLLD approximate Riemann solver for the MHD equations (Miyoshi & Kusano 2005) with the secondorder piecewise linear reconstruction method (PLM). The time integration is carried out by the second-order RungeKutta method with Courant-Friedrich-Lewy number of 0.1. The computational domain is resolved with the mesh number of 128 for [0.9, 30] R∗ in the radial direction and 128 for [0, π] in the polar direction. We employ a non-uniform mesh in the radial direction, where the radial grid size is proportional to the radius. The fiducial value of the grid size ratio ∆r(i + 1)/∆r(i) is 1.02 so that the smallest cell size is 0.05, where i stands for the grid index. In this paper, we consider the cases with Ω∗ = [0.05, 0.07, 0.12, 0.16, 0.23, 0.35, 0.46] s−1, which correpsonds to ∼ 5-50 % of the mass shedding limit. In terms of the inner ghost cell’s density and pressure, we carefully prescribe their values to achieve a specific thermally-driven wind mass loss rate (see Sec. 2.2). Initially, we distribute a cold and homogeneous gas throughout the entire computational domain and inject the thermally-driven wind from the designated launching region. As the thermally-driven outflow reaches the outer boundary, we initiate an aligned dipole field at the inner boundary, facilitating the transformation of the wind into a rotating magnetic wind (see Sec. 2.3). 2.2. Wind launching region We initialize our simulation with a cold, homogeneous, isotropic and non-magnetized atmosphere, and set up a “wind launching region” [2] with a width of D near the WD surface, where the mass is injected to the computational domain to mimic the mass loading due to the carbon burning around the surface of massive WD merger product. To do that, we implement an isotropic relaxation function for both matter and energy source terms to update density and pressure in wind launching region: where ρ∗ and p∗ correspond to the density and pressure at the outer edge of the wind launching region. The actual value of the relaxation timescale τ is chosen to satisfy the condition, 2.3. Rotating magnetic wind The launched gas will then corotate with the rotating magnetic field, and the magnetic torque, which depends on the resultant magnetospheric structure and the polar angle, can also contribute to the wind acceleration in addition to the thermal pressure gradient. As a result, we expect a rotating magnetic wind to start blowing in an angle dependent manner, and relax to a quasi-steady state when it reaches to the outer boundary. We simulate the rotating magnetic wind for a few 10 × the spin period after turning on the magnetic field. [2] Note that this is originally called damping layer in the context of accreting stellar system (see Takasao et al. 2019) This paper is available on arxiv under CC 4.0 license. Authors: (1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; (2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan; (3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan; (4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; (5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. This paper is available on arxiv under CC 4.0 license. Authors: Authors: (1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; (2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan; (3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan; (4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; (5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. Table of Links Abstract and Intro Abstract and Intro Setup Setup Result Result Summary and Discussion Summary and Discussion Appendix Appendix A. Dual Energy Formalism A. Dual Energy Formalism B. Convergence of Results B. Convergence of Results C. Change of the Mass Loss Rate in MHD Regime C. Change of the Mass Loss Rate in MHD Regime References References 2. SETUP We conduct a series of numerical simulations of a rotating magnetic wind from a massive WD merger product with a stable nuclear burning occurring at the near surface region. We first describe the general numerical setup including the governing equations, the Riemann solver, the mesh decomposition, and the boundary conditions in Sec. 2.1. We then describe the source term that represents the injection of mass and internal energy at the near surface nuclear burning region in Sec. 2.2. Finally, we elaborate on setups related to magnetic fields. 2.1. Magnetohydrodynamic (MHD) equations Magnetohydrodynamic (MHD) equations We numerically integrate ideal MHD equations with central gravity; We use the HLLD approximate Riemann solver for the MHD equations (Miyoshi & Kusano 2005) with the secondorder piecewise linear reconstruction method (PLM). The time integration is carried out by the second-order RungeKutta method with Courant-Friedrich-Lewy number of 0.1. The computational domain is resolved with the mesh number of 128 for [0.9, 30] R∗ in the radial direction and 128 for [0, π] in the polar direction. We employ a non-uniform mesh in the radial direction, where the radial grid size is proportional to the radius. The fiducial value of the grid size ratio ∆r( i + 1)/∆r( i ) is 1.02 so that the smallest cell size is 0.05, where i stands for the grid index. i i i In this paper, we consider the cases with Ω∗ = [0.05, 0.07, 0.12, 0.16, 0.23, 0.35, 0.46] s−1, which correpsonds to ∼ 5-50 % of the mass shedding limit. In terms of the inner ghost cell’s density and pressure, we carefully prescribe their values to achieve a specific thermally-driven wind mass loss rate (see Sec. 2.2). Initially, we distribute a cold and homogeneous gas throughout the entire computational domain and inject the thermally-driven wind from the designated launching region. As the thermally-driven outflow reaches the outer boundary, we initiate an aligned dipole field at the inner boundary, facilitating the transformation of the wind into a rotating magnetic wind (see Sec. 2.3). 2.2. Wind launching region Wind launching region We initialize our simulation with a cold, homogeneous, isotropic and non-magnetized atmosphere, and set up a “wind launching region” [2] with a width of D near the WD surface, where the mass is injected to the computational domain to mimic the mass loading due to the carbon burning around the surface of massive WD merger product. To do that, we implement an isotropic relaxation function for both matter and energy source terms to update density and pressure in wind launching region: where ρ∗ and p∗ correspond to the density and pressure at the outer edge of the wind launching region. The actual value of the relaxation timescale τ is chosen to satisfy the condition, 2.3. Rotating magnetic wind Rotating magnetic wind The launched gas will then corotate with the rotating magnetic field, and the magnetic torque, which depends on the resultant magnetospheric structure and the polar angle, can also contribute to the wind acceleration in addition to the thermal pressure gradient. As a result, we expect a rotating magnetic wind to start blowing in an angle dependent manner, and relax to a quasi-steady state when it reaches to the outer boundary. We simulate the rotating magnetic wind for a few 10 × the spin period after turning on the magnetic field. [2] Note that this is originally called damping layer in the context of accreting stellar system (see Takasao et al. 2019)

Magnetic Wind From a Massive White Dwarf Merger: Setup

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan;
(2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan;
(3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan;
(4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan;
(5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. Table of Links Abstract and Intro Setup Result Summary and Discussion Appendix A. Dual Energy Formalism B. Convergence of Results C. Change of the Mass Loss Rate in MHD Regime References 3. RESULT Table. 3 shows a summary of our simulation. A model BxΩy corresponds to the case with B∗ = x and Ω∗ = y in the cgs unit. When the rotating magnetic wind becomes quasi-steady, it can be characterized by the mass loss rate wind luminosity and spindown torque estimated at the outer boundary. As we show later, the strength of rotating magnetic winds can be characterized by a dimensionless parameter Hereafter we take B1.5e6Ω0.23 with σ = 34.3 as the fiducial model, and first show the multi-dimensional structure of the rotating magnetic wind in Sec. 3.1. We then investigate the time variability of the system primarily focusing on the impacts of quasi-periodic eruption along with the equatorial plane in Sec. 3.2. Finally, we show how the time-averaged spin-down torque scales with system parameters in Sec. 3.3. 3.1. Anisotropic wind structure In the equatorial direction (80◦ ≲ θ ≲ 100◦), magnetic fields are closed at small radii, forming a corotating magnetosphere. Beyond the last closed loop, the magnetic field lines are open with a predominant toroidal component, having opposite polarities with respect to the equatorial plane. The transition of the magnetic field configuration is mediated by reconnection occurring at around the tip of the last closed loop, or the Y point. As can be observed from the top-right panel of Fig. 1, the plasma beta in this transition region is higher than those along the open magnetic fields, implying that the gas is trapped mainly by magnetic tensions. In this high plasma-beta region sandwiched by low plasma beta regions, gases are pinched and radially accelerated in the reconnection region, eventually become supersonic at around r ∼ 5 R∗. The latitudinal angle dependence of the wind at the outer boundary is illustrated in Fig. 2, where the gray shaded regions represent the dynamical range of radial velocity (top-left), luminosity (top-right), torque (bottom-left), and mass loss rate (bottom-right). As described in the previous paragraphs, radial velocities in the near-equatorial direction can reach and transiently exceed the Michel velocity (represented by the horizontal dotted line) during eruptions caused by reconnection at the Y-point. Consequently, the wind luminosity, dominated by the radial kinetic term, also exhibits a sharp peak in the equatorial direction. On the other hand, the torque is primarily exerted by corotation with the magnetic fields and reaches its peak slightly off the equatorial plane (θ ∼ 85◦), corresponding to the edge of the concave shape of the Alfven radius. 3.2. Time variability The acceleration of the rotating magnetic wind in the equatorial direction occurs in a time-variable manner, associated with magnetic reconnection at the Y-point. Consequently, the overall flux of mass, energy, and angular momentum from the central WD can also vary with time. Fig. 3 displays the time evolution of the mass loss rate (M˙ ), luminosity (L), and torque (T) in our fiducial model. All quantities are normalized by their time-averaged values. The lower panel of Fig. 3, which provides a long-term perspective, reveals a recurrent eruptive behavior. A recurrent cycle consists of pre-eruption, reconnection, post-eruption phases: In the pre-eruption phase, gases injected into the near-equatorial plane become trapped within the closed field lines. Due to the centrifugal force, the gases accumulate at the tip of the last closed loop, resulting in a continuous decrease in plasma beta in that region. When the centrifugal force acting on the accumulated gases exceeds the tension of the closed magnetic fields, the tip of the closed zone starts expanding radially and is subsequently ejected as a plasmoid through reconnection. Such a plasmoid can be observed at r ∼ 4 - 5 R∗ in Fig. 1. Afterwards, the cycle returns to the pre-eruption phase and restores the gases within the closed magnetic field lines. This type of recurrent eruptions has been known as slingshot prominence in the context of magnetically-active rapidly-rotating stars (e.g., Ferreira 2000; Townsend & Owocki 2005; Jardine & Collier Cameron 2019). The upper panel of Fig. 3 focuses on the fluxes during a rotation period (t = 15-16 [2π/Ω∗]), as also depicted in Fig. 2. In comparison to the pre- and post-eruption phases, represented by the purple and red lines, respectively, the observed fluxes of mass, energy, and angular momentum consistently increase as the erupted plasmoids reach the outer boundary, indicated by the green lines. Notably, the magnetic torque significantly contributes to the overall torque increase during the eruption phase and plays a dominant role in the central WD’s spin-down. We note that the specifics of reconnection dynamics, such as the frequency of recurrent eruptions and the resulting time evolution of mass, energy, and angular momentum fluxes, may be influenced by our numerical parameters, including spatial resolution (which governs numerical resistivity) and the width of the wind launching region. However, we have verified that the time-averaged values of wind velocities, mass loss rate, luminosity, and torque have all reached convergence concerning the spatial resolution in our simulations and the width of the wind launching region (see Appendix B). 3.3. Scaling relation of the spin-down torque Here we consider how the spin-down torque of rotating magnetic wind depends on the system parameters based on our numerical results. As we show in the previous sub-sections, the time-averaged torque is essentially determined by the magnetic torque exerted on the gases at the tip of the last closed field lines, or the Y-point, where the field configuration is still roughly compatible with the rotating dipole. In this case, the (electro)magnetic torque at the Y point can be estimated as [3] In relativistic MHD regime, speed of light c is conventionally used as the characteristic speed of the system (e.g., see the definition of σ0 in Bucciantini et al. 2006). This paper is available on arxiv under CC 4.0 license. Authors: (1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; (2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan; (3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan; (4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; (5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. This paper is available on arxiv under CC 4.0 license. Authors: Authors: (1) Yici Zhong, Department of Physics, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; (2) Kazumi Kashiyama, Research Center for the Early Universe, Graduate School of Science, University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU,WPI), The University of Tokyo, Chiba 277-8582, Japan; (3) Shinsuke Takasao, Department of Earth and Space Science, Graduate School of Science, Osaka University, Toyonaka, Osaka 560-0043, Japan; (4) Toshikazu Shigeyama, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; (5) Kotaro Fujisawa, Research Center for the Early Universe (RESCEU), School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and Department of Liberal Arts, Tokyo University of Technology, Ota-ku, Tokyo 144-0051, Japan. Table of Links Abstract and Intro Abstract and Intro Setup Setup Result Result Summary and Discussion Summary and Discussion Appendix Appendix A. Dual Energy Formalism A. Dual Energy Formalism B. Convergence of Results B. Convergence of Results C. Change of the Mass Loss Rate in MHD Regime C. Change of the Mass Loss Rate in MHD Regime References References 3. RESULT Table. 3 shows a summary of our simulation. A model BxΩy corresponds to the case with B∗ = x and Ω∗ = y in the cgs unit. When the rotating magnetic wind becomes quasi-steady, it can be characterized by the mass loss rate wind luminosity and spindown torque estimated at the outer boundary. As we show later, the strength of rotating magnetic winds can be characterized by a dimensionless parameter Hereafter we take B1.5e6Ω0.23 with σ = 34.3 as the fiducial model, and first show the multi-dimensional structure of the rotating magnetic wind in Sec. 3.1. We then investigate the time variability of the system primarily focusing on the impacts of quasi-periodic eruption along with the equatorial plane in Sec. 3.2. Finally, we show how the time-averaged spin-down torque scales with system parameters in Sec. 3.3. 3.1. Anisotropic wind structure Anisotropic wind structure In the equatorial direction (80◦ ≲ θ ≲ 100◦), magnetic fields are closed at small radii, forming a corotating magnetosphere. Beyond the last closed loop, the magnetic field lines are open with a predominant toroidal component, having opposite polarities with respect to the equatorial plane. The transition of the magnetic field configuration is mediated by reconnection occurring at around the tip of the last closed loop, or the Y point. As can be observed from the top-right panel of Fig. 1, the plasma beta in this transition region is higher than those along the open magnetic fields, implying that the gas is trapped mainly by magnetic tensions. In this high plasma-beta region sandwiched by low plasma beta regions, gases are pinched and radially accelerated in the reconnection region, eventually become supersonic at around r ∼ 5 R∗. The latitudinal angle dependence of the wind at the outer boundary is illustrated in Fig. 2, where the gray shaded regions represent the dynamical range of radial velocity (top-left), luminosity (top-right), torque (bottom-left), and mass loss rate (bottom-right). As described in the previous paragraphs, radial velocities in the near-equatorial direction can reach and transiently exceed the Michel velocity (represented by the horizontal dotted line) during eruptions caused by reconnection at the Y-point. Consequently, the wind luminosity, dominated by the radial kinetic term, also exhibits a sharp peak in the equatorial direction. On the other hand, the torque is primarily exerted by corotation with the magnetic fields and reaches its peak slightly off the equatorial plane (θ ∼ 85◦), corresponding to the edge of the concave shape of the Alfven radius. 3.2. Time variability Time variability The acceleration of the rotating magnetic wind in the equatorial direction occurs in a time-variable manner, associated with magnetic reconnection at the Y-point. Consequently, the overall flux of mass, energy, and angular momentum from the central WD can also vary with time. Fig. 3 displays the time evolution of the mass loss rate (M˙ ), luminosity (L), and torque (T) in our fiducial model. All quantities are normalized by their time-averaged values. The lower panel of Fig. 3, which provides a long-term perspective, reveals a recurrent eruptive behavior. A recurrent cycle consists of pre-eruption, reconnection, post-eruption phases: In the pre-eruption phase, gases injected into the near-equatorial plane become trapped within the closed field lines. Due to the centrifugal force, the gases accumulate at the tip of the last closed loop, resulting in a continuous decrease in plasma beta in that region. When the centrifugal force acting on the accumulated gases exceeds the tension of the closed magnetic fields, the tip of the closed zone starts expanding radially and is subsequently ejected as a plasmoid through reconnection. Such a plasmoid can be observed at r ∼ 4 - 5 R∗ in Fig. 1. Afterwards, the cycle returns to the pre-eruption phase and restores the gases within the closed magnetic field lines. This type of recurrent eruptions has been known as slingshot prominence in the context of magnetically-active rapidly-rotating stars (e.g., Ferreira 2000; Townsend & Owocki 2005; Jardine & Collier Cameron 2019). The upper panel of Fig. 3 focuses on the fluxes during a rotation period (t = 15-16 [2π/Ω∗]), as also depicted in Fig. 2. In comparison to the pre- and post-eruption phases, represented by the purple and red lines, respectively, the observed fluxes of mass, energy, and angular momentum consistently increase as the erupted plasmoids reach the outer boundary, indicated by the green lines. Notably, the magnetic torque significantly contributes to the overall torque increase during the eruption phase and plays a dominant role in the central WD’s spin-down. We note that the specifics of reconnection dynamics, such as the frequency of recurrent eruptions and the resulting time evolution of mass, energy, and angular momentum fluxes, may be influenced by our numerical parameters, including spatial resolution (which governs numerical resistivity) and the width of the wind launching region. However, we have verified that the time-averaged values of wind velocities, mass loss rate, luminosity, and torque have all reached convergence concerning the spatial resolution in our simulations and the width of the wind launching region (see Appendix B). 3.3. Scaling relation of the spin-down torque Scaling relation of the spin-down torque Here we consider how the spin-down torque of rotating magnetic wind depends on the system parameters based on our numerical results. As we show in the previous sub-sections, the time-averaged torque is essentially determined by the magnetic torque exerted on the gases at the tip of the last closed field lines, or the Y-point, where the field configuration is still roughly compatible with the rotating dipole. In this case, the (electro)magnetic torque at the Y point can be estimated as [3] In relativistic MHD regime, speed of light c is conventionally used as the characteristic speed of the system (e.g., see the definition of σ0 in Bucciantini et al. 2006).

Magnetic Wind From a Massive White Dwarf Merger: Result

How to Improve User Experience and Reduce Costs: Here's Why You Should Use Caching

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How to Start a Career in Product Marketing: 10 Expert Tips (2024)

In the advertising world, one rule reigns supreme: protect the brand at all costs. However, with the rise of programmatic advertising and its heavy reliance on behavioral targeting, advertisers have lost control over where their ads appear online. This exposes brands to a significant threat: ad placements next to harmful content, potentially damaging credibility and driving customers away. So, how can we ensure our brand messaging reaches safe spaces? And why is brand safety so critical for the advertising industry's future? In this post, we shall dive deep into brand safety, explore essential protection measures, and explain why it's an integral part of any brand's success in the forthcoming cookie-less world. What is Brand Safety? As defined by the Interactive Advertising Bureau (IAB), brand safety is "keeping a brand's reputation safe when they advertise online." In simpler terms, it's about taking precautions to ensure your brand messaging appears alongside harmless content. For instance, a new airline wouldn't want its ads placed near articles about plane crashes. Similarly, a dessert company wouldn't want to be featured next to content about diabetes. More generally, all brands strive to keep their messaging away from hate speech and explicit content online. Brand Safety Statistics - Market Report & Data 70% of advertisers surveyed reported that brand safety incidents negatively impacted their campaigns.
Nearly two-thirds (65%) of US digital ad buyers view User-Generated Content (UGC) on platforms as a potential brand safety threat. This emphasizes the need for careful platform selection and ad placement strategies.
Brand safety worries plague almost half (48%) of brand representatives. This statistic underscores the growing anxiety around online brand protection.
A study revealed that brands facing significant brand safety issues experienced an alarming 8% drop in stock prices. This demonstrates the tangible financial repercussions of neglecting brand safety.
Recognizing the importance of brand protection, UK companies are planning to allocate over half (50%) of their digital advertising budgets towards ensuring brand safety. This signifies a major shift in spending priorities within the advertising industry. Why Does Brand Safety Matters? Safeguarding your brand's reputation and image is essential for long-term success. Here's why: Reputation Protection: Maintaining good standing with clients and the industry is paramount. The type of content surrounding your brand directly impacts how consumers perceive it. Imagine your ad appearing next to a story about natural disasters –  it could cast your brand in a negative light. Implementing brand safety measures helps shield your reputation and build trust with consumers.
Competitive Advantage: Gone are the days when brands stayed silent on important issues! Aligning yourself with social causes, you believe in not only strengthens your brand identity but also keeps you competitive in a world where consumers seek brands with a voice.
Ad Spend Optimization: Brand safety measures often lead to ad placements within premium content. This optimizes your ad spend, directing it towards valuable impressions and engagement. Remember, brand safety violations can erode consumer trust and decrease revenue. For instance, if an advertisement appears alongside content promoting hate speech or violence, customers may associate those negative attributes with the brand. Brand Safety Measures in Advertising While measuring brand safety numerically is challenging, a specific set of criteria can be used to assess the safety of an ad placement: 1. Ad Format/Platform Each ad format, platform, or placement carries varying degrees of risk. To uphold brand reputation, it's crucial to understand these risks and identify strategies to mitigate them. When it comes to ad display mediums, some are inherently safer than others. For example, mobile in-app advertising is considered one of the most brand-safe solutions. Here, the environment (the app's content) is typically tightly controlled. With additional targeting or blacklisting options enabled, the risk of safety violations is minimal. 2. Context Unsafe content appearing alongside ads is the primary culprit behind brand safety violations. These violations are often reported by users, potentially leading to negative press for the company. Unfortunately, context is quite difficult to control. Most brands rely on the brand safety technology implemented by the publishers or advertising agencies. App environments are generally the easiest to control. The level of safety measures provided by websites and social media platforms varies depending on the implemented solutions and the platform's nature. For instance, when advertising on news websites, key credibility factors include whether the platform avoids deceptive headlines, corrects or clarifies errors promptly, and clearly differentiates between news and opinion content. 3. Brand Suitability While distinct from brand safety, brand suitability plays a vital role. The tone and values of an advertising campaign can differ depending on the brand's target audience. A health supplement brand wouldn't want its ad next to an article questioning the effectiveness of such products. On the other hand, an ad for a sports clothing brand targeting teens and young adults wouldn't necessarily resonate with an audience visiting a website focused on senior citizen activities. In this scenario, publisher transparency regarding data and audience breakdown is critical for establishing a brand-safe and suitable environment. 4. Brand Safety vs. Ad Reach Striking a balance between brand safety and campaign reach is another consideration. Filtering out inventory using certain ad formats and advertising methods (influencer marketing, banners on news sites, social media) can significantly limit the potential audience—overly restrictive blacklists (of keywords, channels, or publishers) risk blocking valuable content as well. Conclusion Brand safety in advertising has become an increasingly important concern for all players involved in the ad tech supply chain. By establishing clear standards & keeping on top of the ad quality metrics, advertisers can ensure they protect their reputation & that of their clients. In the advertising world, one rule reigns supreme: protect the brand at all costs. However, with the rise of programmatic advertising and its heavy reliance on behavioral targeting, advertisers have lost control over where their ads appear online. This exposes brands to a significant threat: ad placements next to harmful content, potentially damaging credibility and driving customers away. So, how can we ensure our brand messaging reaches safe spaces? And why is brand safety so critical for the advertising industry's future? In this post, we shall dive deep into brand safety, explore essential protection measures, and explain why it's an integral part of any brand's success in the forthcoming cookie-less world. What is Brand Safety? As defined by the Interactive Advertising Bureau (IAB), brand safety is "keeping a brand's reputation safe when they advertise online." In simpler terms, it's about taking precautions to ensure your brand messaging appears alongside harmless content. For instance, a new airline wouldn't want its ads placed near articles about plane crashes. Similarly, a dessert company wouldn't want to be featured next to content about diabetes. More generally, all brands strive to keep their messaging away from hate speech and explicit content online. Brand Safety Statistics - Market Report & Data 70% of advertisers surveyed reported that brand safety incidents negatively impacted their campaigns. Nearly two-thirds (65%) of US digital ad buyers view User-Generated Content (UGC) on platforms as a potential brand safety threat. This emphasizes the need for careful platform selection and ad placement strategies. Brand safety worries plague almost half (48%) of brand representatives. This statistic underscores the growing anxiety around online brand protection. A study revealed that brands facing significant brand safety issues experienced an alarming 8% drop in stock prices. This demonstrates the tangible financial repercussions of neglecting brand safety. Recognizing the importance of brand protection, UK companies are planning to allocate over half (50%) of their digital advertising budgets towards ensuring brand safety. This signifies a major shift in spending priorities within the advertising industry. 70% of advertisers surveyed reported that brand safety incidents negatively impacted their campaigns. 70% of advertisers surveyed reported Nearly two-thirds (65%) of US digital ad buyers view User-Generated Content (UGC) on platforms as a potential brand safety threat. This emphasizes the need for careful platform selection and ad placement strategies. Brand safety worries plague almost half (48%) of brand representatives. This statistic underscores the growing anxiety around online brand protection. A study revealed that brands facing significant brand safety issues experienced an alarming 8% drop in stock prices. This demonstrates the tangible financial repercussions of neglecting brand safety. Recognizing the importance of brand protection, UK companies are planning to allocate over half (50%) of their digital advertising budgets towards ensuring brand safety. This signifies a major shift in spending priorities within the advertising industry. over half (50%) Why Does Brand Safety Matters? Safeguarding your brand's reputation and image is essential for long-term success. Here's why: Reputation Protection: Maintaining good standing with clients and the industry is paramount. The type of content surrounding your brand directly impacts how consumers perceive it. Imagine your ad appearing next to a story about natural disasters –  it could cast your brand in a negative light. Implementing brand safety measures helps shield your reputation and build trust with consumers. Competitive Advantage: Gone are the days when brands stayed silent on important issues! Aligning yourself with social causes, you believe in not only strengthens your brand identity but also keeps you competitive in a world where consumers seek brands with a voice. Ad Spend Optimization: Brand safety measures often lead to ad placements within premium content. This optimizes your ad spend, directing it towards valuable impressions and engagement. Remember, brand safety violations can erode consumer trust and decrease revenue. For instance, if an advertisement appears alongside content promoting hate speech or violence, customers may associate those negative attributes with the brand. Reputation Protection: Maintaining good standing with clients and the industry is paramount. The type of content surrounding your brand directly impacts how consumers perceive it. Imagine your ad appearing next to a story about natural disasters –  it could cast your brand in a negative light. Implementing brand safety measures helps shield your reputation and build trust with consumers. Reputation Protection: Competitive Advantage: Gone are the days when brands stayed silent on important issues! Aligning yourself with social causes, you believe in not only strengthens your brand identity but also keeps you competitive in a world where consumers seek brands with a voice. Competitive Advantage: Ad Spend Optimization: Brand safety measures often lead to ad placements within premium content. This optimizes your ad spend, directing it towards valuable impressions and engagement. Remember, brand safety violations can erode consumer trust and decrease revenue. For instance, if an advertisement appears alongside content promoting hate speech or violence, customers may associate those negative attributes with the brand. Ad Spend Optimization: Brand Safety Measures in Advertising While measuring brand safety numerically is challenging, a specific set of criteria can be used to assess the safety of an ad placement: 1. Ad Format/Platform Each ad format, platform, or placement carries varying degrees of risk. To uphold brand reputation , it's crucial to understand these risks and identify strategies to mitigate them. When it comes to ad display mediums, some are inherently safer than others. For example, mobile in-app advertising is considered one of the most brand-safe solutions. Here, the environment (the app's content) is typically tightly controlled. With additional targeting or blacklisting options enabled, the risk of safety violations is minimal. brand reputation 2. Context Unsafe content appearing alongside ads is the primary culprit behind brand safety violations. These violations are often reported by users, potentially leading to negative press for the company. Unfortunately, context is quite difficult to control. Most brands rely on the brand safety technology implemented by the publishers or advertising agencies. App environments are generally the easiest to control. The level of safety measures provided by websites and social media platforms varies depending on the implemented solutions and the platform's nature. For instance, when advertising on news websites, key credibility factors include whether the platform avoids deceptive headlines, corrects or clarifies errors promptly, and clearly differentiates between news and opinion content. 3. Brand Suitability While distinct from brand safety, brand suitability plays a vital role. The tone and values of an advertising campaign can differ depending on the brand's target audience. A health supplement brand wouldn't want its ad next to an article questioning the effectiveness of such products. On the other hand, an ad for a sports clothing brand targeting teens and young adults wouldn't necessarily resonate with an audience visiting a website focused on senior citizen activities. In this scenario, publisher transparency regarding data and audience breakdown is critical for establishing a brand-safe and suitable environment. 4. Brand Safety vs. Ad Reach Striking a balance between brand safety and campaign reach is another consideration. Filtering out inventory using certain ad formats and advertising methods (influencer marketing, banners on news sites, social media) can significantly limit the potential audience—overly restrictive blacklists (of keywords, channels, or publishers) risk blocking valuable content as well. Conclusion Brand safety in advertising has become an increasingly important concern for all players involved in the ad tech supply chain. By establishing clear standards & keeping on top of the ad quality metrics, advertisers can ensure they protect their reputation & that of their clients. Brand safety in advertising ad tech

Crucial Role of Brand Safety in a Cookie-less Future

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Xiaofei Sun, Zhejiang University & xiaofei_sun@zju.edu.cn;
(2) Xiaoya Li, Shannon.AI, Bytedance & xiaoya_li@shannonai.com;
(3) Shengyu Zhang, Zhejiang University & sy_zhang@zju.edu.cn;
(4) Shuhe Wang, Peking University & wangshuhe@stu.pku.edu.cn;
(5) Fei Wu, Zhejiang University & wufei@zju.edu.cn;
(6) Jiwei Li, Zhejiang University &  jiwei_li@zju.edu.cn;
(7) Tianwei Zhang, Nanyang Technological University & tianwei.zhang@ntu.edu.sg;
(8) Guoyin Wang, Bytedance & guoyin.wang@bytedance.com. Table of Links Abstract and Introduction
Related Work
LLM Negotiation for Sentiment Analysis
Experiments
Ablation Studies
Conclusion and References 3 LLM Negotiation for Sentiment Analysis 3.1 Overview In this section, we detail the multi-LLM negotiation framework for sentiment analysis: Two LLMs perform as the answer generator and discriminator. We refer to the interaction between the generator and the discriminator as a negotiation. The negotiation will repeat until a consensus is reached or the maximum number of negotiation turns is exceeded. Illustrations are shown in Figures 1 and 2. 3.2 Reasoning-infused generator The generator is backboned by a large language model. We ask the answer generator based on the ICL paradigm through prompts, aiming to generate a step-by-step reasoning chain and a decision towards the sentiment polarity of the test input. Prompts are composed of three elements: a task description, demonstrations, and a test input.  The task description is a description of the task in natural language (e.g., "Please determine the overall sentiment of test input."); the test input is the textual input in the test set (e.g., "The sky is blue."); demonstrations are from the train set of the task. Each consists of three elements: input, reasoning chains, and sentimental decision. For each test input, we first retrieve K nearest neighbors (input, sentiment decision) from the train set as demonstrations. Then, we transform demonstrations to (input, reasoning process, sentiment decision) triplets by prompting the generator to produce a reasoning chain. After concatenating the task description, demonstrations, and the test input, we forward the prompt to the generator, which will respond with a step-by-step reasoning chain and a sentimental decision. 3.3 Explanation-deriving discriminator The discriminator is backboned by another LLM. After finishing the answer generating process, the answer discriminator is used to judge whether the decision made by the generator is correct and provide a reasonable explanation. To accomplish this goal, we first construct prompts for the answer discriminator. The prompt is composed of four elements: a task description, demonstrations, a test input, and the response from the answer generator. The task description is a piece of text that describes the task in natural language (e.g., "Please determine whether the decision is correct."). Each demonstration is composed of six elements: (input text, a reasoning chain, sentiment decision, discriminator attitude, discriminator explanations, discriminator decision) and constructed by prompting the answer discriminator to provide explanations of why the sentiment decision is correct for the input text. Then we ask the discriminator with the construct prompt. The answer discriminator will respond with a text string, containing an attitude (i.e., yes, no) that denotes whether the discriminator agrees with the generator, explanations that explain why the discriminator agrees/disagrees with the generator, and a discriminator decision that determines the sentiment of the test input. Why Two LLMs but Not One? There are two reasons for using two different LLMs separately for the generator and the discriminator rather than using a single LLM to act as two roles: (1) If an LLM makes a mistake as a generator due to incorrect reasoning, it is more likely that it will also make the same mistake as the discriminator as since generator and the discriminator from the same model are very likely to make similar rationales; (2) by using two separate models, we are able to take the advantage of the complementary abilities of the two models. 3.4 Role-flipped Negotiation After two LLMs end with a negotiation, we ask them flip roles and initiate a new negotiation, where the second LLM acts as the generator, and the first LLM acts as the discriminator. We refer the interaction of two LLMs with flipped roles as role-flipped negotiation. Likewise, the role flipped negotiation is ended until a consensus is reached or the maximum number of negotiation turns is exceeded. When both negotiations result in an agreement and their decisions are the same, we can choose either decision as the final one since they are the same. If one of the negotiations fails to reach a consensus while the other reaches a decision, we choose the decision from the negotiation  that reached a consensus as the final decision. However, if both negotiations reach a consensus but their decisions do not align, we will require the assistance of an additional Language Model (LLM), as will be explained in more detail below." Introducing a third LLM If the decision from the two negotiations do not align, we introduce a third LLM and conduct the negotiation and role-flipped negotiation with each of the two aforementioned LLMs. Subsequently, we will get 6 negotiation results and vote on these results: the decision that appears most frequently is taken as the sentiment polarity of the input test. This paper is available on arxiv under CC 4.0 license. Authors: (1) Xiaofei Sun, Zhejiang University & xiaofei_sun@zju.edu.cn; (2) Xiaoya Li, Shannon.AI, Bytedance & xiaoya_li@shannonai.com; (3) Shengyu Zhang, Zhejiang University & sy_zhang@zju.edu.cn; (4) Shuhe Wang, Peking University & wangshuhe@stu.pku.edu.cn; (5) Fei Wu, Zhejiang University & wufei@zju.edu.cn; (6) Jiwei Li, Zhejiang University &  jiwei_li@zju.edu.cn; (7) Tianwei Zhang, Nanyang Technological University & tianwei.zhang@ntu.edu.sg; (8) Guoyin Wang, Bytedance & guoyin.wang@bytedance.com. This paper is available on arxiv under CC 4.0 license. Authors: (1) Xiaofei Sun, Zhejiang University & xiaofei_sun@zju.edu.cn; (2) Xiaoya Li, Shannon.AI, Bytedance & xiaoya_li@shannonai.com; (3) Shengyu Zhang, Zhejiang University & sy_zhang@zju.edu.cn; (4) Shuhe Wang, Peking University & wangshuhe@stu.pku.edu.cn; (5) Fei Wu, Zhejiang University & wufei@zju.edu.cn; (6) Jiwei Li, Zhejiang University &  jiwei_li@zju.edu.cn; (7) Tianwei Zhang, Nanyang Technological University & tianwei.zhang@ntu.edu.sg; (8) Guoyin Wang, Bytedance & guoyin.wang@bytedance.com. Table of Links Abstract and Introduction Related Work LLM Negotiation for Sentiment Analysis Experiments Ablation Studies Conclusion and References Abstract and Introduction Abstract and Introduction Related Work Related Work LLM Negotiation for Sentiment Analysis LLM Negotiation for Sentiment Analysis Experiments Experiments Ablation Studies Ablation Studies Conclusion and References Conclusion and References 3 LLM Negotiation for Sentiment Analysis 3.1 Overview In this section, we detail the multi-LLM negotiation framework for sentiment analysis: Two LLMs perform as the answer generator and discriminator. We refer to the interaction between the generator and the discriminator as a negotiation. The negotiation will repeat until a consensus is reached or the maximum number of negotiation turns is exceeded. Illustrations are shown in Figures 1 and 2. 3.2 Reasoning-infused generator The generator is backboned by a large language model. We ask the answer generator based on the ICL paradigm through prompts, aiming to generate a step-by-step reasoning chain and a decision towards the sentiment polarity of the test input. Prompts are composed of three elements: a task description, demonstrations, and a test input.  The task description is a description of the task in natural language (e.g., "Please determine the overall sentiment of test input."); the test input is the textual input in the test set (e.g., "The sky is blue."); demonstrations are from the train set of the task. Each consists of three elements: input, reasoning chains, and sentimental decision. For each test input, we first retrieve K nearest neighbors (input, sentiment decision) from the train set as demonstrations. Then, we transform demonstrations to (input, reasoning process, sentiment decision) triplets by prompting the generator to produce a reasoning chain. After concatenating the task description, demonstrations, and the test input, we forward the prompt to the generator, which will respond with a step-by-step reasoning chain and a sentimental decision. 3.3 Explanation-deriving discriminator The discriminator is backboned by another LLM. After finishing the answer generating process, the answer discriminator is used to judge whether the decision made by the generator is correct and provide a reasonable explanation. To accomplish this goal, we first construct prompts for the answer discriminator. The prompt is composed of four elements: a task description, demonstrations, a test input, and the response from the answer generator. The task description is a piece of text that describes the task in natural language (e.g., "Please determine whether the decision is correct."). Each demonstration is composed of six elements: (input text, a reasoning chain, sentiment decision, discriminator attitude, discriminator explanations, discriminator decision) and constructed by prompting the answer discriminator to provide explanations of why the sentiment decision is correct for the input text. Then we ask the discriminator with the construct prompt. The answer discriminator will respond with a text string, containing an attitude (i.e., yes, no) that denotes whether the discriminator agrees with the generator, explanations that explain why the discriminator agrees/disagrees with the generator, and a discriminator decision that determines the sentiment of the test input. Why Two LLMs but Not One? There are two reasons for using two different LLMs separately for the generator and the discriminator rather than using a single LLM to act as two roles: (1) If an LLM makes a mistake as a generator due to incorrect reasoning, it is more likely that it will also make the same mistake as the discriminator as since generator and the discriminator from the same model are very likely to make similar rationales; (2) by using two separate models, we are able to take the advantage of the complementary abilities of the two models. Why Two LLMs but Not One? 3.4 Role-flipped Negotiation After two LLMs end with a negotiation, we ask them flip roles and initiate a new negotiation, where the second LLM acts as the generator, and the first LLM acts as the discriminator. We refer the interaction of two LLMs with flipped roles as role-flipped negotiation. Likewise, the role flipped negotiation is ended until a consensus is reached or the maximum number of negotiation turns is exceeded. When both negotiations result in an agreement and their decisions are the same, we can choose either decision as the final one since they are the same. If one of the negotiations fails to reach a consensus while the other reaches a decision, we choose the decision from the negotiation  that reached a consensus as the final decision. However, if both negotiations reach a consensus but their decisions do not align, we will require the assistance of an additional Language Model (LLM), as will be explained in more detail below." Introducing a third LLM If the decision from the two negotiations do not align, we introduce a third LLM and conduct the negotiation and role-flipped negotiation with each of the two aforementioned LLMs. Subsequently, we will get 6 negotiation results and vote on these results: the decision that appears most frequently is taken as the sentiment polarity of the input test. Introducing a third LLM

Sentiment Analysis through LLM Negotiations: LLM Negotiation for Sentiment Analysis

What is a Proxy? A proxy server acts as an intermediary between a client seeking a resource and the server providing that resource. Imagine adding a detour in your journey to a destination; your request visits another server before it reaches its final point. This setup not only masks your original IP address, making it invisible to the target server but also adds a layer of anonymity crucial for bypassing anti-bot measures. Why is a proxy useful? Proxies are invaluable for enhancing privacy, security, and control over internet traffic. By masking your IP address, proxies prevent target servers from discerning your real location, which is essential for bypassing geo-restrictions and accessing global content. In corporate environments, proxies enforce policy compliance and content filtering, while also monitoring and logging internet usage to ensure safe and efficient network operations. Additionally, for tasks like web scraping and data collection, proxies are indispensable as they help circumvent anti-scraping measures, allowing for uninterrupted data gathering. How does it compare with a VPN? While both proxies and VPNs (Virtual Private Networks) serve to mask your IP address and protect your identity, there are key differences. A VPN encrypts all your internet traffic, providing a higher level of security, especially over insecure networks like public Wi-Fi. VPNs are more suited for users seeking privacy and security as they shield all online activities, not just those directed through a particular server as proxies do. On the other hand, proxies are generally faster and more flexible, specifically tailored to bypassing geo-restrictions and handling specific tasks like web scraping without the overhead of encryption. Thus, the choice between a proxy and a VPN often depends on your specific needs for security, privacy, and functionality. Categorizing Proxies by Origin: Choose the Right Tool for the Job Data Center Proxies: Data Center Proxies are hosted on powerful servers, ideal for rapid web scraping. They offer great speed and uptime but can be more detectable by advanced anti-bot systems due to their common use in automated tasks.


ISP Proxies: ISP Proxies blend residential credibility with data center efficiency, providing speed while mimicking an average internet user’s connection. This makes them less likely to be flagged, suitable for tasks requiring stealth and fast performance.


Residential Proxies: Residential Proxies use real internet connections, making them hard to detect and perfect for bypassing geo-restrictions and anti-bot measures. They excel in activities that need high anonymity, like market research or ad verification.


Mobile Proxies: Mobile Proxies leverage IPs from mobile devices, utilizing CGNAT technology to share IPs across multiple devices. This sharing makes them tough to block, ideal for emulating mobile user actions and testing across different locales. Using a Proxy with Python We can illustrate the simple usage of a proxy on a high-level utilizing the requests library, a widely used module for executing HTTP requests. import requests

# Define your proxy here (example format: 'http://username:password@proxyserver:port')
proxies = {
    'http': 'http://10.10.1.10:3128',  # HTTP proxy
    'https': 'http://10.10.1.10:1080'  # HTTPS proxy
}

url = 'http://example.com'  # Target URL to access

# Use the defined proxies to make a GET request
response = requests.get(url, proxies=proxies)

# Output the response text
print(response.text) This example illustrates how to integrate proxy configurations into Python scripts, a crucial skill for tasks like anonymizing web scraping operations, bypassing regional content restrictions, or simulating requests from various geographical locations. Mastering this can significantly enhance your capability to gather data without exposure and access content beyond local limitations. Conclusion Choosing the right type of proxy depends largely on your specific needs—whether it’s enhancing privacy, circumventing geo-restrictions, or conducting sensitive tasks like web scraping. While proxies offer a flexible solution tailored to specific tasks, they differ from VPNs, which provide comprehensive security and privacy across all internet activities. By understanding these tools, you can better navigate the complexities of online privacy and access, ensuring a safer and more unrestricted internet experience. What is a Proxy? A proxy server acts as an intermediary between a client seeking a resource and the server providing that resource. Imagine adding a detour in your journey to a destination; your request visits another server before it reaches its final point. This setup not only masks your original IP address, making it invisible to the target server but also adds a layer of anonymity crucial for bypassing anti-bot measures. Why is a proxy useful? Proxies are invaluable for enhancing privacy, security, and control over internet traffic. By masking your IP address, proxies prevent target servers from discerning your real location, which is essential for bypassing geo-restrictions and accessing global content. In corporate environments, proxies enforce policy compliance and content filtering, while also monitoring and logging internet usage to ensure safe and efficient network operations. Additionally, for tasks like web scraping and data collection, proxies are indispensable as they help circumvent anti-scraping measures, allowing for uninterrupted data gathering. How does it compare with a VPN? While both proxies and VPNs (Virtual Private Networks) serve to mask your IP address and protect your identity, there are key differences. A VPN encrypts all your internet traffic, providing a higher level of security, especially over insecure networks like public Wi-Fi. VPNs are more suited for users seeking privacy and security as they shield all online activities, not just those directed through a particular server as proxies do. On the other hand, proxies are generally faster and more flexible, specifically tailored to bypassing geo-restrictions and handling specific tasks like web scraping without the overhead of encryption. Thus, the choice between a proxy and a VPN often depends on your specific needs for security, privacy, and functionality. Categorizing Proxies by Origin: Choose the Right Tool for the Job Data Center Proxies: Data Center Proxies are hosted on powerful servers, ideal for rapid web scraping. They offer great speed and uptime but can be more detectable by advanced anti-bot systems due to their common use in automated tasks. ISP Proxies: ISP Proxies blend residential credibility with data center efficiency, providing speed while mimicking an average internet user’s connection. This makes them less likely to be flagged, suitable for tasks requiring stealth and fast performance. Residential Proxies: Residential Proxies use real internet connections, making them hard to detect and perfect for bypassing geo-restrictions and anti-bot measures. They excel in activities that need high anonymity, like market research or ad verification. Mobile Proxies: Mobile Proxies leverage IPs from mobile devices, utilizing CGNAT technology to share IPs across multiple devices. This sharing makes them tough to block, ideal for emulating mobile user actions and testing across different locales. Data Center Proxies: Data Center Proxies are hosted on powerful servers, ideal for rapid web scraping. They offer great speed and uptime but can be more detectable by advanced anti-bot systems due to their common use in automated tasks. Data Center Proxies: Data Center Proxies are hosted on powerful servers, ideal for rapid web scraping. They offer great speed and uptime but can be more detectable by advanced anti-bot systems due to their common use in automated tasks. Data Center Proxies: ISP Proxies: ISP Proxies blend residential credibility with data center efficiency, providing speed while mimicking an average internet user’s connection. This makes them less likely to be flagged, suitable for tasks requiring stealth and fast performance. ISP Proxies: ISP Proxies blend residential credibility with data center efficiency, providing speed while mimicking an average internet user’s connection. This makes them less likely to be flagged, suitable for tasks requiring stealth and fast performance. ISP Proxies: Residential Proxies: Residential Proxies use real internet connections, making them hard to detect and perfect for bypassing geo-restrictions and anti-bot measures. They excel in activities that need high anonymity, like market research or ad verification. Residential Proxies: Residential Proxies use real internet connections, making them hard to detect and perfect for bypassing geo-restrictions and anti-bot measures. They excel in activities that need high anonymity, like market research or ad verification. Residential Proxies: Mobile Proxies: Mobile Proxies leverage IPs from mobile devices, utilizing CGNAT technology to share IPs across multiple devices. This sharing makes them tough to block, ideal for emulating mobile user actions and testing across different locales. Mobile Proxies: Mobile Proxies leverage IPs from mobile devices, utilizing CGNAT technology to share IPs across multiple devices. This sharing makes them tough to block, ideal for emulating mobile user actions and testing across different locales. Mobile Proxies: Using a Proxy with Python We can illustrate the simple usage of a proxy on a high-level utilizing the requests library, a widely used module for executing HTTP requests. requests import requests

# Define your proxy here (example format: 'http://username:password@proxyserver:port')
proxies = {
    'http': 'http://10.10.1.10:3128',  # HTTP proxy
    'https': 'http://10.10.1.10:1080'  # HTTPS proxy
}

url = 'http://example.com'  # Target URL to access

# Use the defined proxies to make a GET request
response = requests.get(url, proxies=proxies)

# Output the response text
print(response.text) import requests

# Define your proxy here (example format: 'http://username:password@proxyserver:port')
proxies = {
    'http': 'http://10.10.1.10:3128',  # HTTP proxy
    'https': 'http://10.10.1.10:1080'  # HTTPS proxy
}

url = 'http://example.com'  # Target URL to access

# Use the defined proxies to make a GET request
response = requests.get(url, proxies=proxies)

# Output the response text
print(response.text) This example illustrates how to integrate proxy configurations into Python scripts, a crucial skill for tasks like anonymizing web scraping operations, bypassing regional content restrictions, or simulating requests from various geographical locations. Mastering this can significantly enhance your capability to gather data without exposure and access content beyond local limitations. Conclusion Choosing the right type of proxy depends largely on your specific needs—whether it’s enhancing privacy, circumventing geo-restrictions, or conducting sensitive tasks like web scraping. While proxies offer a flexible solution tailored to specific tasks, they differ from VPNs, which provide comprehensive security and privacy across all internet activities. By understanding these tools, you can better navigate the complexities of online privacy and access, ensuring a safer and more unrestricted internet experience.

 Proxies: How They Work and Why They're Essential

Authors: (1) Renato P. dos Santos, CIAGE – Centre for Generative Artificial Intelligence in Cognition and Education. Table of Links Abstract and Introduction Materials And Methods Results and Analyses Prompts and generated texts Conceptualizing chemical reactions Deepening on understanding of chemical reactions Question about combustion Question about a graph of gases turning into water over time Question about changing of state Question about an animated representation of water molecules undergoing phase changes Question about plasma, a state of matter Question about chemical bondings Question about illustration of chemical bonds Question about the essence of the type of chemical bonding Further analysis Conclusions Limitations of the study and possible future studies Author Contributions, Conflicts of interest, Acknowledgements, and References Question about changing of state *: You mentioned water and water vapor. this is what my professor calls a change of state, right?* P1 *: Yes, exactly! A change of state, also known as a phase transition, refers to the transformation of a substance from one state of matter to another. The most common states of matter are solid, liquid, and gas. The transitions between these states are typically due to changes in temperature and/or pressure.* ChatGPT Let's go over the primary changes of state: 1. Melting: The transition from solid to liquid. For instance, when ice (solid water) warms up, it melts to form liquid water. *: The transition from liquid to solid. It's the opposite of melting. When liquid water cools down, it freezes to form ice.* 2. Freezing 3. Boiling (or Vaporization): The transition from liquid to gas. When water is heated to its boiling point, it turns into water vapor (steam). 4. Condensation: The transition from gas to liquid. It's the opposite of boiling. When steam cools down, it condenses to form liquid water. 5. Sublimation: The transition directly from solid to gas without passing through the liquid state. Dry ice (solid carbon dioxide) does this—it turns directly into carbon dioxide gas when it warms up. 6. Deposition: The transition directly from gas to solid without passing through the liquid state. It's the opposite of sublimation. Each substance has specific temperatures at which these changes of state occur, called its melting point, freezing point, boiling point, etc. These points can also vary based on external pressure. Does this explanation help clarify the concept of changes of state for you? Would you like to dive deeper into any specific transition or related topic? BingChat: Yes, you are right. Water and water vapour are examples of a change of state. A change of state is a physical change in which a substance changes from one state of matter to another. The three common states of matter are solid, liquid, and gas. Water can exist in all three states, depending on the temperature and pressure. For example, water is a liquid at room temperature and normal atmospheric pressure, but it can change to a solid (ice) when it is cooled below 0°C, or to a gas (water vapour) when it is heated above 100°C[ ] 123 . There are different names for the processes that cause a change of state. For example, when a liquid changes to a gas, it is called vaporization. Vaporization can happen in two ways: evaporation or boiling. Evaporation is when a liquid changes to a gas at the surface, without reaching its boiling point. Boiling is when a liquid changes to a gas throughout the liquid, when it reaches its boiling point. When a gas changes to a liquid, it is called condensation. Condensation is when a gas loses heat and turns into a liquid droplet[ ] 123 A change of state does not affect the chemical composition of a substance. That means the substance does not change into a new substance with different properties. For example, water and water vapour are both made of the same molecules (H2O), but they have different physical properties such as shape, volume, and density. A change of state can be reversed by changing the temperature or pressure again. For example, water vapour can change back to liquid water by cooling it down[ ]. 123 I hope this helps you understand what a change of state is and how it happens. If you want to learn more about the changes of state of water and other substances, you can watch this video or read this article. *: Yes, that is correct. Water and water vapor are two different states of water. Water is a liquid at room temperature, but it can be converted to a gas (water vapor) by heating it.* Bard Conversely, water vapor can be converted to a liquid (water) by cooling it. This process of changing the state of a substance is called a change of state. There are three main states of matter: solid, liquid, and gas. Each state has different properties. For example, solids have a definite shape and volume. Liquids have a definite volume, but they take the shape of their container. Gases have neither a definite shape nor a definite volume. When a substance changes state, it absorbs or releases energy. For example, when water vapor condenses to form liquid water, it releases energy. This energy is what causes the air around us to feel warm when it rains. Changes of state are important in many different natural processes, such as the water cycle and weather formation. They are also used in many different industrial processes, such as food processing and medicine. I hope this helps to explain what a change of state is. Please let me know if you have any other questions. *: Yes, that's correct! When water transitions between liquid water and water vapor, it is undergoing a change of state.* Claude The different states of matter are: • Solid - Fixed shape and volume, tightly packed molecules • Liquid - Fixed volume but variable shape, flowing molecules • Gas - Variable volume and shape, molecules move freely Water can exist in all three states: • Ice (solid) • Liquid water • Water vapor (gas) Some key changes of state for water: • Melting - Solid to liquid, ice melts to water • Freezing - Liquid to solid, water freezes to ice • Evaporation - Liquid to gas, water evaporates to vapor • Condensation - Gas to liquid, vapor condenses into water The processes of evaporation and condensation describe water transitioning between the liquid and gas states. This is what produces water vapor. Other examples of changes of state include: • Boiling - Liquid to gas, water boils to steam • Sublimation - Solid to gas, dry ice (solid CO2) sublimates to CO2 gas Let me know if you need any clarification on changes of state or the different phases of matter! Being comfortable with these concepts is important for understanding many chemical processes. acknowledges the student’s understanding with an “Yes, exactly!,” offering . It then directly tackles the student's question about water and water vapor, providing a thorough and structured breakdown of state changes, leaning to and saying, “Let's go over”. It finishes the explanation recurring to Metadiscussion & Perspective Framing referring that "Each substance has specific temperatures." It concludes with "Does this explanation help clarify" "for you?" offering R and , respectively, and adeptly inviting further exploration with "Would you like to dive deeper", what points to Detail Depth & Content Recommendation. similarly recognizes the student's comprehension by stating "Yes, you are right," providing . It not only offers a clear and presentation including examples, what hit the and Use of Analogy & Comparative Illustrations categories, but also integrates external content recommendations, pointing to . It also adds that "A change of state can be reversed," offering . It finalizes with “I hope this helps”, and a smiley, signs of and Personalization & Personable Touch respectively and “If you want to learn more” “you can watch this video or read this article” pointing to . Bard likewise recognizes the student's grasp by stating, "Yes, that is correct," exhibiting a . It then provides a concise yet illuminating on the implications of state changes being "important in many different natural processes," "water cycle," and "weather formation" and "in many different industrial processes," "food processing" and "medicine", connecting the topic to broader contexts. The explanation concludes with "I hope this helps to explain," showcasing , followed by "Please let me know if you have any other questions," which emphasizes . Like the earlier GenAIbots, Claude begins by recognizing the student's comprehension with “Yes, that's correct!,” adding . It then presents the states of matter and their transitions with clear analogies, leaning to , and extending the explanation with "other examples of changes of state", such as "Boiling" and "Sublimation," what hit the , although its depth might be a tad more concise that the previous ones. It then concludes with “Let me know if you need any clarification,” which emphasizes and includes the remark, “Being comfortable with these concepts is important for understanding many chemical processes,” aligning with the category. ChatGPT Personalization & Personable Touch Instructional Strategies einforcement & Feedback Personalization & Personable Touch BingChat Personalization & Personable Touch Detail Depth & Content Recommendation Depth & Content Recommendation Meta-discussion & Perspective Framing Engagement & Interactivity Detail Depth & Content Recommendation Personalization & Personable Touch Meta-discussion & Perspective Framing Engagement & Interactivity Personalization & Personable Touch Personalization & Personable Touch Instructional Strategies Detail Depth & Content Recommendation Personalization & Personable Touch Meta-discussion & Perspective Framing This paper is under CC BY-SA 4.0 DEED license. available on arxiv

Mastering Basic Chemistry with GenAIbots: Exploring Changes of State with Water and Water Vapor

Airchat founders Naval and former Tinder executive Brian Norgard believe that speech communication strengthens human connection. The new social media app they are working on and launching, AirChat, is meant to bridge the polarizing divides in our world. They say they designed AirChat to be simple and intimate, offering a new way for individuals to connect and engage in meaningful dialog, and the app is being touted as Silicon Valley's new obsession. It is currently open by invitation to US and EU phone numbers, but the founders have signaled that they will expand soon. AirChat was introduced at X-Twitter as a combination of Twitter and Clubhouse and has been making waves in our feeds for the past few weeks. The only difference is that instead of writing a post, you share your content by talking about it, and you don't need to gather under a different topic. The app quickly transcribes what you say, and as your followers scroll through their feeds, they hear your voice in transcription. I tried AirChat, an app that is especially talked about for the success of its transcription technology, where tech enthusiasts, leaders, entrepreneurs, and investors invite each other and quickly tighten the ranks. AirChat was developed by Naval Ravikant, an Indian entrepreneur who is also the founder of AngelList, is quite famous on Twitter, and reaches millions with his podcast where he advises on mental models, and Brian Norgard, former Tinder. They aim to bring a sincere new approach to social media by taking us away from X's increasingly toxic news feed, which is corrupted by ads and fake bots. Imagine that there are many people we know only through the internet whose posts we read but still haven't met. After following each other on AirChat, you realize that you have never heard their real voices before. The platform is built to give you the feeling that you are actually chatting with each other. Although the excitement that spread when Clubhouse was first launched seems to be happening in Airchat, we will see if it will end up similar. A Week on Airchat With Brian Norgard being a former Tinder manager, it makes me wonder how they're going to use emotion to retain users. They are given 20 invites, and you are motivated to invite people you know personally and send invites to people you would enjoy chatting with. In reality, however, we all know this is not realistic. After Clubhouse became very popular, users started selling their invites to people who were thirsty to get into the app and couldn't get an invite. While Airchat itself doesn't seem to be in a hurry to make money for now, the fact that its founders are also investors could quickly change the course of the app. In addition, there are some who are skeptical of Naval's efforts to establish its own social media, criticized for being close to the “center-right “ and Trump. When the Tinder experience is added to this, this suspicion increases a little more. So, how is Airchat in terms of user experience? First of all, really, at first, it feels weird just being a stalker. You see the posts in your feed one after the other, but hearing the texts in the post owners' voices creates a diversity of sound and noise because of the voice recordings from different environments. If you're looking for a quieter new social media environment, I doubt it will scare you away from Instagram or TikTok. Clubhouse was so popular for a while; probably the most important reason was that it gathered people who really had something to say, and some of us really needed to say it. In that sense, people would turn on their microphones and talk for like an hour as if they were giving a lecture. The content and the flow of the conversation was interesting, you really wanted to stay there and participate. The fact that everyone could find a community to talk to satisfied us and motivated us to keep using it. Airchat is different, it's no different from Twitter in terms of post flow and sharing, except that now you can have a voiceover of your posts. This doesn't seem to add any new originality. In fact, an early version of AirChat was launched last year, and the aim was to improve the app's vision by getting feedback from early invitees. After this testing period, they rebuilt the app from the ground up. Key Features : All posts and replies are audio recordings transcribed by the app.


Social features include following users, scrolling through a feed, replying, liking, and sharing content.


Users can share photos and videos.


When you want to reply to a post, you need to record your voice.


You can speak Turkish, and it is translated directly into English. Although the app's Turkish translation is not very good, other users have commented that the Hindi and Spanish translations are successful.


Posting with your voice can be a hand-shaking activity at first, but it's not as scary as it sounds, and you can re-record your post if you say the wrong thing.


If you're the kind of person who sends voice recordings on WhatsApp instead of texting, you might also like using it.


The ability to block and mute contacts is active now. Early adopters who feel they've found their niche are already sharing the app, and podcasters, in particular, may start to embrace Airchat as a potential additional distribution channel. But is AirChat Here to Stay? That will perhaps depend, as always, on whether people on the platform can find a community to express themselves. The Airchat stream feels like you're in a coffee shop in San Francisco because, for now, most of the users are from the tech industry. This has not been the case for Threads, Meta's new social media experiment, or Bluesky, which developed a culture of toxic communication very early on. Jack Dorsey’s, former founder and CEO of Twitter, has now stopped invitations to the Bluesky app. It's also telling that when AirChat introduced a channel feature, two of the first to pop up were "Crypto" and "e/acc," which stands for Effective Acceleration, an aggressive pro-tech movement, casting doubt on the future of the app. Looking at the content currently streaming on Airchat, you can't find many non-tech-related conversations for now. Although we use X reluctantly, we can still catch a variety of content. AirChat's naive approach to content moderation is also questionable. Naval posted the following note on his Airchat account on this subject: "We will try to put as much of the moderation tools in the hands of users as possible. "
Naval Ravikant also argues that AirChat should function like a dinner party;"You can't kick out someone who comes to your house as a guest for participating in a civilized discussion. But if that person starts shouting at you violently, it is wise to intervene. We don't want to moderate for content, but we will moderate for tone." This is another point where AirChat parallels Clubhouse. Clubhouse's approach to content moderation was even weaker because there was no way to block people. AirChat blocks any user, and muting features are now active. When Clubhouse was active, it inadvertently hosted antisemitic and misogynistic speech and was unable to intervene. With this minimalist approach to content moderation, it's easy to see AirChat's dilemma here. What happens if someone shares copyrighted audio on the platform or if someone discloses another user's confidential information? We don't know if there is a real plan in place to deal with these situations. We'll have to wait until after it goes global to see if it fades from minds and phones as quickly as Clubhouse did. While the concept behind AirChat may seem quite civilized in a romantic framework, it is a fact that we no longer trust or believe in users or the "genius" founders of social media, and it can quickly become toxic. Airchat founders Naval and former Tinder executive Brian Norgard believe that speech communication strengthens human connection. The new social media app they are working on and launching, AirChat, is meant to bridge the polarizing divides in our world. They say they designed AirChat to be simple and intimate, offering a new way for individuals to connect and engage in meaningful dialog, and the app is being touted as Silicon Valley's new obsession. It is currently open by invitation to US and EU phone numbers, but the founders have signaled that they will expand soon. AirChat touted touted AirChat was introduced at X-Twitter as a combination of Twitter and Clubhouse and has been making waves in our feeds for the past few weeks. The only difference is that instead of writing a post, you share your content by talking about it, and you don't need to gather under a different topic. The app quickly transcribes what you say, and as your followers scroll through their feeds, they hear your voice in transcription. I tried AirChat, an app that is especially talked about for the success of its transcription technology, where tech enthusiasts, leaders, entrepreneurs, and investors invite each other and quickly tighten the ranks. AirChat was developed by Naval Ravikant, an Indian entrepreneur who is also the founder of AngelList, is quite famous on Twitter, and reaches millions with his podcast where he advises on mental models, and Brian Norgard, former Tinder . They aim to bring a sincere new approach to social media by taking us away from X's increasingly toxic news feed, which is corrupted by ads and fake bots. Imagine that there are many people we know only through the internet whose posts we read but still haven't met. After following each other on AirChat, you realize that you have never heard their real voices before. The platform is built to give you the feeling that you are actually chatting with each other. Although the excitement that spread when Clubhouse was first launched seems to be happening in Airchat, we will see if it will end up similar. AirChat was developed by Naval Ravikant, an Indian entrepreneur who is also the founder of AngelList, is quite famous on Twitter, and reaches millions with his podcast where he advises on mental models, and Brian Norgard, former Tinder A Week on Airchat A Week on Airchat With Brian Norgard being a former Tinder manager, it makes me wonder how they're going to use emotion to retain users. They are given 20 invites, and you are motivated to invite people you know personally and send invites to people you would enjoy chatting with. In reality, however, we all know this is not realistic. After Clubhouse became very popular, users started selling their invites to people who were thirsty to get into the app and couldn't get an invite. started started While Airchat itself doesn't seem to be in a hurry to make money for now, the fact that its founders are also investors could quickly change the course of the app. In addition, there are some who are skeptical of Naval's efforts to establish its own social media, criticized for being close to the “center-right “ and Trump. When the Tinder experience is added to this, this suspicion increases a little more. So, how is Airchat in terms of user experience? First of all, really, at first, it feels weird just being a stalker. You see the posts in your feed one after the other, but hearing the texts in the post owners' voices creates a diversity of sound and noise because of the voice recordings from different environments. If you're looking for a quieter new social media environment, I doubt it will scare you away from Instagram or TikTok. Clubhouse was so popular for a while; probably the most important reason was that it gathered people who really had something to say, and some of us really needed to say it. In that sense, people would turn on their microphones and talk for like an hour as if they were giving a lecture. The content and the flow of the conversation was interesting, you really wanted to stay there and participate. The fact that everyone could find a community to talk to satisfied us and motivated us to keep using it. Airchat is different, it's no different from Twitter in terms of post flow and sharing, except that now you can have a voiceover of your posts. This doesn't seem to add any new originality. In fact, an early version of AirChat was launched last year, and the aim was to improve the app's vision by getting feedback from early invitees. After this testing period, they rebuilt the app from the ground up. Key Features : Key Features : All posts and replies are audio recordings transcribed by the app. Social features include following users, scrolling through a feed, replying, liking, and sharing content. Users can share photos and videos. When you want to reply to a post, you need to record your voice. You can speak Turkish, and it is translated directly into English. Although the app's Turkish translation is not very good, other users have commented that the Hindi and Spanish translations are successful. Posting with your voice can be a hand-shaking activity at first, but it's not as scary as it sounds, and you can re-record your post if you say the wrong thing. If you're the kind of person who sends voice recordings on WhatsApp instead of texting, you might also like using it. The ability to block and mute contacts is active now. All posts and replies are audio recordings transcribed by the app. All posts and replies are audio recordings transcribed by the app. Social features include following users, scrolling through a feed, replying, liking, and sharing content. Social features include following users, scrolling through a feed, replying, liking, and sharing content. Users can share photos and videos. Users can share photos and videos. When you want to reply to a post, you need to record your voice. When you want to reply to a post, you need to record your voice. You can speak Turkish, and it is translated directly into English. Although the app's Turkish translation is not very good, other users have commented that the Hindi and Spanish translations are successful. You can speak Turkish, and it is translated directly into English. Although the app's Turkish translation is not very good, other users have commented that the Hindi and Spanish translations are successful. Posting with your voice can be a hand-shaking activity at first, but it's not as scary as it sounds, and you can re-record your post if you say the wrong thing. Posting with your voice can be a hand-shaking activity at first, but it's not as scary as it sounds, and you can re-record your post if you say the wrong thing. If you're the kind of person who sends voice recordings on WhatsApp instead of texting, you might also like using it. If you're the kind of person who sends voice recordings on WhatsApp instead of texting, you might also like using it. The ability to block and mute contacts is active now. The ability to block and mute contacts is active now. Early adopters who feel they've found their niche are already sharing the app, and podcasters, in particular, may start to embrace Airchat as a potential additional distribution channel. But is AirChat Here to Stay? But is AirChat Here to Stay? That will perhaps depend, as always, on whether people on the platform can find a community to express themselves. The Airchat stream feels like you're in a coffee shop in San Francisco because, for now, most of the users are from the tech industry. This has not been the case for Threads, Meta's new social media experiment, or Bluesky , which developed a culture of toxic communication very early on. Jack Dorsey’s, former founder and CEO of Twitter, has now stopped invitations to the Bluesky app. It's also telling that when AirChat introduced a channel feature, two of the first to pop up were "Crypto" and "e/acc," which stands for Effective Acceleration , an aggressive pro-tech movement, casting doubt on the future of the app. Looking at the content currently streaming on Airchat, you can't find many non-tech-related conversations for now. Although we use X reluctantly, we can still catch a variety of content. AirChat's naive approach to content moderation is also questionable. Naval posted the following note on his Airchat account on this subject: Bluesky Bluesky Effective Acceleration Effective Acceleration "We will try to put as much of the moderation tools in the hands of users as possible. " Naval Ravikant also argues that AirChat should function like a dinner party; "You can't kick out someone who comes to your house as a guest for participating in a civilized discussion. But if that person starts shouting at you violently, it is wise to intervene. We don't want to moderate for content, but we will moderate for tone." "We will try to put as much of the moderation tools in the hands of users as possible. " "We will try to put as much of the moderation tools in the hands of users as possible. " Naval Ravikant also argues that AirChat should function like a dinner party; Naval Ravikant also argues that AirChat should function like a dinner party; "You can't kick out someone who comes to your house as a guest for participating in a civilized discussion. But if that person starts shouting at you violently, it is wise to intervene. We don't want to moderate for content, but we will moderate for tone." "You can't kick out someone who comes to your house as a guest for participating in a civilized discussion. But if that person starts shouting at you violently, it is wise to intervene. We don't want to moderate for content, but we will moderate for tone." This is another point where AirChat parallels Clubhouse. Clubhouse's approach to content moderation was even weaker because there was no way to block people. AirChat blocks any user, and muting features are now active. When Clubhouse was active, it inadvertently hosted antisemitic and misogynistic speech and was unable to intervene. antisemitic antisemitic misogynistic misogynistic With this minimalist approach to content moderation, it's easy to see AirChat's dilemma here. What happens if someone shares copyrighted audio on the platform or if someone discloses another user's confidential information? We don't know if there is a real plan in place to deal with these situations. We'll have to wait until after it goes global to see if it fades from minds and phones as quickly as Clubhouse did. While the concept behind AirChat may seem quite civilized in a romantic framework, it is a fact that we no longer trust or believe in users or the "genius" founders of social media, and it can quickly become toxic.

A Week at AirChat: Very Fresh, but Weird...

As a marketer, you must know about various platforms that are a perfect place for generating leads for your business. You might already have been using Instagram, Facebook, and Twitter. The one platform you might not know about is LinkedIn. If you have yet to make the most out of this platform or if you have only dipped your toe into the lead generation opportunities it offers, now is the time to get started with LinkedIn. Chances are that your competitors are already using it, and it's never too late to catch up using advanced LinkedIn lead generation tools to find leads and convert them into customers. So, here's a guide on how to get B2B leads from LinkedIn. How to Create a LinkedIn Lead Generation Strategy? Generating leads on LinkedIn might feel a little overwhelming. But the truth is with little effort and time; you can become an expert in LinkedIn lead generation. For marketers who want to take the next step, here's how to use LinkedIn for lead generation: Optimize Your LinkedIn Page You can expect your website to generate leads if it's properly laid out, there are Smart SEO goals set up, it provides proper information, and its content is useful and up-to-date. Similarly, if your LinkedIn profile is optimized, your customers will buy from you. Now, you must be wondering: how to optimize your LinkedIn profile, so it is compelling enough for lead generation? Start by asking yourself the following questions that will justify what your audience expects from you: What information does your audience expect to see when they first land on your profile?
What phrases or keywords might your audience be looking for to assess your product or service? Use these questions to decide what to put on your profile that can attract your audience to your brand. Make sure to add a catchy headline and a to-the-point summary. Also, do not forget to add the visuals. It is estimated that profiles with visuals are more likely to be viewed as compared to others. So, select high-quality visuals that describe your brand products or services. Post-High-Quality Content on Your LinkedIn Page To make sure that your LinkedIn profile has a great online presence, consider posting high-quality content types. Featuring the content on your page can help you position yourself as a knowledgeable source that establishes credibility with potential clients. When you're known to be a valuable source, you will soon start connecting with like-minded professionals who match perfectly with your ideal customer profile. If you post regularly, your profile will be shown on your leads feed, and the familiarity will make it easier to build further conversations. If you think that your LinkedIn friends are professionals in your sector, the content you upload will expose you to new audiences. When your connections 'Like' a post you've created, it may appear in the feed of a new lead. This lead will see that your shared connection liked your post, attesting to your reliability and authority and maybe motivating them to make a connection request. To ensure that you are creating content your audience might want to see, follow your page analytics that resonates the most with them, and post content accordingly. Examine Your LinkedIn Profile Views Chances are you will get only 1-2 profile visits each day, and you will most likely ignore them. Do not do such a thing. Each profile view is worth a lot as it can be a possible lead you missed. It could also be a valuable lead that reaches out to you. They can be a potential client that matters more than a random name in your cold email list. There's a simple solution to this if you ignore your profile visits. Just select "Who viewed your profile" in your page dashboard, and scroll to the names that showed interest in your profile. Send a message to each one of them, and it's possible that some of them will be your potential leads and be interested in your product or service. Be a Part of Groups You must wonder how to get business leads from LinkedIn. Well, LinkedIn groups are the best way to do such a thing. There are thousands of LinkedIn groups that are relevant to you and your brand. Professionals use such groups to gain insight into their industry and also to engage with other members. The best part - these groups are private by default, so you can expect high-quality lead generation on LinkedIn. You could also create your own group from the start, but it can be a difficult and time-consuming thing to do. The best way to make the most out of such groups is to find the relevant, ready-made one. These are the groupings that contain your buyer persona and are closely related to the industry in which you operate. Small groups limit your lead potential, while large groups cause your message to get lost. It is best to aim for both. To make your opinion known, use the 'Discussion' option at the top of the group's site and post questions, comments, or assertions. Your messaging should be targeted to each group, and you should know who you're writing to so they can make the best judgment about your organization. Make Use of LinkedIn Automation Tools There are a bunch of the best LinkedIn automation tools like Dripify and Octopus CRM that marketers can use to boost a LinkedIn strategy. These tools let you automate your LinkedIn activity and help you generate potential leads for your brand. It enables you to automate message requests, schedule messages, and also track your responses. It saves you a lot of time by automating all your time-consuming activities on LinkedIn while you can focus on other relevant lead generation tasks. With automation tools, you can automate almost anything on LinkedIn in one command center and dashboard. You can develop LinkedIn lead-generation campaigns that might provide remarkable results. Also, you can keep an eye on these campaigns' performance and monitor your total LinkedIn lead generation progress. Nurture Connections Generating leads is only the first step toward having meaningful prospects. You can not expect each lead to be directly impressed by your product pitch; some of them need nurturing too. The first step towards moving a lead to a sales funnel is having a direct conversation with the connection. Send a custom connection request, and follow it up with a catchy InMail that urges them to respond. There's no secret recipe to being a perfect conversation starter, but personalization works best. Try to strike up a conversation about something you both have in common. Expect this process to take some time. Some of the questions you can ask the lead are: What challenges are they facing in their business?
What are long-term and immediate priorities? Finally, when the lead starts asking questions about your product, it's time for you to pitch them and turn the lead into a client. Give and Get Referrals One of the best LinkedIn marketing strategies is to give and get referrals. You should introduce yourself to each new lead as your network of first-degree relationships expands. Share your e-business card, if possible. Making the initial remark breaks the ice, allows for the prospect of collaboration, and lessens the awkwardness of asking them to be directed to someone else later. Look through a recent client's relationships to discover which ones might be helpful to your company. If you are confident enough in your relationship, send them a list of the individuals, and ask if they mind sending a brief introduction of you to each one. The worst-case scenario is that they refuse. A sales team knows how to ask and who to ask for referrals. They can outperform the competition, reach decision-makers in a single call, and develop connections that can lead to sales. Start Using LinkedIn for Lead Generation Now! Leads are like gold to salespeople and marketers. LinkedIn is the best way where you can generate potential leads for brands that can soon be converted into valuable clients. But even though LinkedIn lead generation might be profitable, it takes time to do. It is likely that you spend months without seeing any results if you don't use the proper tactics to target the appropriate audience. You have to be consistent with your lead generation strategy and take time to find valuable LinkedIn connections using the tips given in this guide. Optimize your profile, strike up meaningful conversations, or share high-quality content. Even then, not every prospect will turn into a sale - but you will have a great chance of converting those leads that are interested in buying from you!** As a marketer, you must know about various platforms that are a perfect place for generating leads for your business. You might already have been using Instagram, Facebook, and Twitter. The one platform you might not know about is LinkedIn. The one platform you might not know about is LinkedIn. If you have yet to make the most out of this platform or if you have only dipped your toe into the lead generation opportunities it offers, now is the time to get started with LinkedIn. Chances are that your competitors are already using it, and it's never too late to catch up using advanced LinkedIn lead generation tools to find leads and convert them into customers. So, here's a guide on how to get B2B leads from LinkedIn. LinkedIn lead generation tools LinkedIn lead generation tools How to Create a LinkedIn Lead Generation Strategy? Generating leads on LinkedIn might feel a little overwhelming. But the truth is with little effort and time; you can become an expert in LinkedIn lead generation. Generating leads on LinkedIn might feel a little overwhelming. But the truth is with little effort and time; you can become an expert in LinkedIn lead generation. For marketers who want to take the next step, here's how to use LinkedIn for lead generation: Optimize Your LinkedIn Page You can expect your website to generate leads if it's properly laid out, there are Smart SEO goals set up, it provides proper information, and its content is useful and up-to-date. Smart SEO goals Similarly, if your LinkedIn profile is optimized, your customers will buy from you. Now, you must be wondering: how to optimize your LinkedIn profile, so it is compelling enough for lead generation? how to optimize your LinkedIn profile, so it is compelling enough for lead generation? Start by asking yourself the following questions that will justify what your audience expects from you: What information does your audience expect to see when they first land on your profile? What phrases or keywords might your audience be looking for to assess your product or service? What information does your audience expect to see when they first land on your profile? What information does your audience expect to see when they first land on your profile? What phrases or keywords might your audience be looking for to assess your product or service? What phrases or keywords might your audience be looking for to assess your product or service? Use these questions to decide what to put on your profile that can attract your audience to your brand. Make sure to add a catchy headline and a to-the-point summary. Also, do not forget to add the visuals. It is estimated that profiles with visuals are more likely to be viewed as compared to others. So, select high-quality visuals that describe your brand products or services. Post-High-Quality Content on Your LinkedIn Page To make sure that your LinkedIn profile has a great online presence, consider posting high-quality content types. Featuring the content on your page can help you position yourself as a knowledgeable source that establishes credibility with potential clients. When you're known to be a valuable source, you will soon start connecting with like-minded professionals who match perfectly with your ideal customer profile. If you post regularly, your profile will be shown on your leads feed, and the familiarity will make it easier to build further conversations. If you think that your LinkedIn friends are professionals in your sector, the content you upload will expose you to new audiences. When your connections 'Like' a post you've created, it may appear in the feed of a new lead. This lead will see that your shared connection liked your post, attesting to your reliability and authority and maybe motivating them to make a connection request. To ensure that you are creating content your audience might want to see, follow your page analytics that resonates the most with them, and post content accordingly. Examine Your LinkedIn Profile Views Chances are you will get only 1-2 profile visits each day, and you will most likely ignore them. Do not do such a thing. Each profile view is worth a lot as it can be a possible lead you missed. It could also be a valuable lead that reaches out to you. They can be a potential client that matters more than a random name in your cold email list. There's a simple solution to this if you ignore your profile visits. Just select "Who viewed your profile" in your page dashboard, and scroll to the names that showed interest in your profile. Send a message to each one of them, and it's possible that some of them will be your potential leads and be interested in your product or service. Be a Part of Groups You must wonder how to get business leads from LinkedIn. Well, LinkedIn groups are the best way to do such a thing. There are thousands of LinkedIn groups that are relevant to you and your brand. Professionals use such groups to gain insight into their industry and also to engage with other members. You must wonder how to get business leads from LinkedIn. The best part - these groups are private by default, so you can expect high-quality lead generation on LinkedIn. You could also create your own group from the start, but it can be a difficult and time-consuming thing to do. The best way to make the most out of such groups is to find the relevant, ready-made one. These are the groupings that contain your buyer persona and are closely related to the industry in which you operate. Small groups limit your lead potential, while large groups cause your message to get lost. It is best to aim for both. To make your opinion known, use the 'Discussion' option at the top of the group's site and post questions, comments, or assertions. Your messaging should be targeted to each group, and you should know who you're writing to so they can make the best judgment about your organization. Make Use of LinkedIn Automation Tools There are a bunch of the best LinkedIn automation tools like Dripify and Octopus CRM that marketers can use to boost a LinkedIn strategy. These tools let you automate your LinkedIn activity and help you generate potential leads for your brand. It enables you to automate message requests, schedule messages, and also track your responses. It saves you a lot of time by automating all your time-consuming activities on LinkedIn while you can focus on other relevant lead generation tasks. LinkedIn automation tools With automation tools, you can automate almost anything on LinkedIn in one command center and dashboard. You can develop LinkedIn lead-generation campaigns that might provide remarkable results. Also, you can keep an eye on these campaigns' performance and monitor your total LinkedIn lead generation progress. Nurture Connections Generating leads is only the first step toward having meaningful prospects. You can not expect each lead to be directly impressed by your product pitch; some of them need nurturing too. The first step towards moving a lead to a sales funnel is having a direct conversation with the connection. Send a custom connection request, and follow it up with a catchy InMail that urges them to respond. There's no secret recipe to being a perfect conversation starter, but personalization works best. Try to strike up a conversation about something you both have in common. Expect this process to take some time. Some of the questions you can ask the lead are: What challenges are they facing in their business? What are long-term and immediate priorities? What challenges are they facing in their business? What challenges are they facing in their business? What are long-term and immediate priorities? What are long-term and immediate priorities? Finally, when the lead starts asking questions about your product, it's time for you to pitch them and turn the lead into a client. Give and Get Referrals One of the best LinkedIn marketing strategies is to give and get referrals. You should introduce yourself to each new lead as your network of first-degree relationships expands. Share your e-business card, if possible. Making the initial remark breaks the ice, allows for the prospect of collaboration, and lessens the awkwardness of asking them to be directed to someone else later. Look through a recent client's relationships to discover which ones might be helpful to your company. If you are confident enough in your relationship, send them a list of the individuals, and ask if they mind sending a brief introduction of you to each one. The worst-case scenario is that they refuse. A sales team knows how to ask and who to ask for referrals. They can outperform the competition, reach decision-makers in a single call, and develop connections that can lead to sales. Start Using LinkedIn for Lead Generation Now! Leads are like gold to salespeople and marketers. LinkedIn is the best way where you can generate potential leads for brands that can soon be converted into valuable clients. But even though LinkedIn lead generation might be profitable, it takes time to do. But even though LinkedIn lead generation might be profitable, it takes time to do. It is likely that you spend months without seeing any results if you don't use the proper tactics to target the appropriate audience. You have to be consistent with your lead generation strategy and take time to find valuable LinkedIn connections using the tips given in this guide. Optimize your profile, strike up meaningful conversations, or share high-quality content. Even then, not every prospect will turn into a sale - but you will have a great chance of converting those leads that are interested in buying from you!** Optimize your profile, strike up meaningful conversations, or share high-quality content.

How to Get Business Leads from LinkedIn?

কিভাবে LinkedIn থেকে বিজনেস লিড পাবেন?

Wie erhält man Geschäftskontakte über LinkedIn?

¿Cómo conseguir clientes potenciales comerciales de LinkedIn?

Comment obtenir des prospects sur LinkedIn ?

लिंक्डइन से बिजनेस लीड कैसे प्राप्त करें?

LinkedIn からビジネスリードを取得するにはどうすればいいですか?

LinkedIn에서 비즈니스 리드를 얻는 방법은 무엇입니까?

Como obter leads de negócios no LinkedIn?

Как получить потенциальных клиентов из LinkedIn?

LinkedIn'den İş Potansiyeli Nasıl Alınır?

Làm cách nào để có được khách hàng tiềm năng kinh doanh từ LinkedIn?

如何从 LinkedIn 获取商业线索？

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