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Surveillance Bill Clears Key Hurdle in Senate Ahead of Friday Expiration

Senate Dismisses Impeachment Charges Against Mayorkas Without a Trial

Senate Commerce Committee Chair Maria Cantwell (D-Wash.) announced her support Wednesday for a bipartisan bill that would force TikTok’s Chinese parent company to sell the app or face a ban in the U.S. after it was updated to extend the period of time for the sale.

Senate Commerce chair backs amended bill that could ban TikTok | The Hill

To face Larry Hogan in the fall, Democrats should pick Prince George’s County Executive Angela D. Alsobrooks over Rep. David Trone on May 14.

Opinion | Angela Alsobrooks is a compelling Senate choice for Maryland Democrats - The Washington Post

The state Supreme Court last week ruled that a 19th-century ban on nearly all abortions is enforceable.

Arizona House again blocks repeal of 1864 abortion ban; Senate leaves door open

The ad war is heating up in the Arizona Senate race, with both sides launching digital attacks this week foreshadowing the battleground campaign to come.

Advertising heats up in Arizona Senate race, previewing a tough campaign

The US Senate on Wednesday dismissed the two impeachment articles against Homeland Security Secretary Alejandro Mayorkas, quickly ending the trial.

How every senator voted on the rejection of Mayorkas impeachment charges | CNN Politics

A Democratic senator has introduced a bill to create federal incentives for states, localities and Indian tribes that expunge low-level marijuana records—an equity-focused reform proposal that leadership has repeatedly discussed attaching to bipartisan cannabis banking legislation that’s ...

Senator Files Marijuana Expungements Bill That Schumer Has Discussed Including In Banking Reform Package - Marijuana Moment

Plus: Trump is funneling campaign money into cash-strapped businesses. The FAA has lifted ground stop of Alaska Airlines flights. More on The Excerpt.

Senate rejects both impeachment articles against Secretary Mayorkas | The Excerpt

An elections handicapper moved its rating of the Arizona Senate race from “toss-up” to “leans Democratic” in response to a state Supreme Court ruling reinstating a 19th-century abortion ban. Sabato’s Crystal Ball at the University of Virginia’s Center for Politics said in a release ...

Election handicapper moves Arizona Senate race to ‘leans Democratic’ | The Hill

SeenIt

seenit

Alvaro Serrano via Unsplash I asked my closest friends to send me a letter for my birthday this past year. All of them, but one, forgot. But I got permission to share that one with you as I think it’s full of gems. Context: he’s a 51-year-old ex-corporate high-ass marketing executive who’s met them all and seen it all (the big bucks & high-profile people) and exchanged that for a quiet life in Bali where we met. I don’t know how he got into my friend circle, but he did. He thought I was crazy and eccentric at first (still does but in a different way), and I don’t think he thought we’d end up being friends, but we did. Anyway, without further ado, here’s his letter to me on my 29th bday. Dear Rima, Wishing you a Content & Calm & Joyful Birthday. Every day. I wish I could astonish you, like Sergei Diaghilev telling Jean Cocteau, ‘Astonish me,’ or give you answers and wisdom. I wish I could come up with advice like the Princeton writing professor gave to his students (on having doubts and not knowing what to do after graduating in their early twenties): “Doubt will follow you into any decade. Just persevere.” I wish I could make you smile with a tongue twister whose meaning goes deeper and beyond the ever faster warm up exercise a teacher made us commence acting classes: Whether the weather be fine Or whether the weather be not Whether the weather be cold Or whether the weather be hot We'll weather the weather Whatever the weather Whether we like it or not. I wish I could be dishing it out like the eleventh-century Buddhist monk Atisha who wrote: the best scholar is one who has realized the meaning of no-self. The best monk is the one who has tamed his own mind. The best quality is a great desire to benefit others. The best instruction is always to watch the mind. The best accomplishment is a steady lessening of negative emotions. The best generosity is non-attachment. The best discipline is a peaceful mind. The best wisdom is not to grasp anything at all. I like the above. Yet there’s nothing new under the sun, so let me simply write to you l “far from the eye, close to the heart.” I feel lucky we became friends and shared moments (fun, painful, awkward) together, and I am curious about what the future has in store in that department. Yes, I care for your well-being. One of my close friends gave me the following advice when we were still kids and which served me well over time. “Be here, not there. Be involved, not attached.” Otherwise, you’re good to go. Happy to let you lose another year. Obviously, never lose your weirdness. Enjoy the fall, and don’t forget to get up and never give up. You can’t outrun your pain, not catch up with your happiness, as much as you can’t outrun your shadow., or catch up with it. All seem to come in combo packs. As you might be surprised to discover, I’m no master of life (jk, I’m a Bali Buddha in waiting). I have no answers and nothing to say (despite a charming off-season verbal diarrhea or ranting against this and that). I’m not particularly qualified to teach others (yet I do with relish) how to cope with life. There’s no truth, and that’s the truth and the true lie. Better you tell me: Who are you? What is your problem? Show me you! In Zen, the master usually would ask questions like: Before your mother and father conceived you, what was your original nature? My advice: practice 'sitting meditation'’ Be alone. Be by yourself. Be present. Pay attention to your breath, to the sounds around you, to your bodily sensations. Watch how everything arises and passes. Don’t sweat minutiae. The crazy one day will look sane, and the sane turns out to be crazy, given enough time. And to beat a dead horse: keep learning how to train your mind, the single greatest investment you can make in life (not only to Sam Harris). My bday wish for you? Get your ass up and out and do a 10-day Vipassana meditation retreat—learn the skills and techniques of mindfulness practice & the practice of meditation. There’s no meaning (as you heard in your last course and eloquently and passionately transmitted). So you gotta give meaning to life yourself. Be good. Be kind. Be compassionate. Adjust, adapt, accommodate. Serve. Love. Give. Wisdom will follow (or not, it’s all the same. Nobody will remember you in a hundred years, and that’s a generous estimate). Let me sing and sign off with a hug and kiss & a Buddhist sutra: “A man who judges himself superior, inferior, or even equal to another does not understand reality.” Yours, come rain or shine. O Final Thoughts It was a letter I read quite a few times throughout the year and found solace in it. I’ve always wondered why most people my age don’t seek mentors - there’s so much wisdom to be gained. It’s like piggybacking off of someone’s time to make yours more meaningful. Also published . here

A Birthday Letter From a Man Who’s Seen It All

Let’s talk about something that’s been driving me nuts for years: Google’s ongoing struggles with handling canonical URLs and duplicate content. It’s a problem that, despite being fundamental to search engine optimization (SEO), Google still can’t seem to get right. And while Google continues to flounder, guess who’s quietly acing it? Bing. Yes, you read that right – Bing! It’s honestly baffling. Here we are, in 2024, and Google, the self-proclaimed king of search, can’t even get the basics of web indexing straight. Let’s break this down. The Canonical URL Catastrophe A canonical URL is meant to tell search engines which version of a page is the “official” one when you have multiple URLs with similar or identical content. Seems simple enough, right? You’d think Google, with all its technological might and years of search engine dominance, would have perfected this by now. But nope. Google’s handling of canonical tags is, more often than not, a dumpster fire. Why? Because Google has a tendency to ignore your carefully placed canonical tags, or worse, it just gets them wrong. It might pick the wrong version of your page, or even worse – it might randomly declare some other URL as the canonical without any explanation. This leads to pages getting improperly indexed, with duplicate content spread across multiple URLs and absolutely no way for you to control it. Result? Your rankings plummet, your SEO strategy crumbles, and your site’s traffic tanks – all thanks to Google’s refusal to play by the canonical rulebook. But, oh, here’s where it gets good. Bing? Bing doesn’t have these problems. Bing can crawl your site, see your canonical tag, and follow it like a well-behaved child. It doesn’t second-guess you, doesn’t ignore your instructions, and doesn’t make arbitrary decisions that hurt your visibility. Bing understands that when a site owner points to a canonical URL, that’s what it should respect. It’s as if Bing actually listens to website owners, while Google seems to be playing SEO bingo with your site’s content. Duplicate Content Woes Then there’s duplicate content. Another area where Google’s “genius” just falls flat. We all know duplicate content is a big issue when it comes to SEO. When search engines find multiple copies of the same content, they’re supposed to figure out which one is the most relevant and display it in search results. Seems simple, right? Well, it’s not. Google has been notorious for misidentifying duplicate content, sometimes even penalizing sites with pages that have only slight variations. I’ve seen it happen time and again: you publish a well-researched article, and somehow, Google finds another page on your site and decides they’re too similar, tanking your rankings. Why does this happen? It’s because Google’s algorithm, despite being incredibly complex, still can’t reliably handle duplicate content in certain situations. There are cases where Google just can’t seem to distinguish between genuinely different pages and what’s essentially the same content presented slightly differently – even if those pages are clearly differentiated by their canonical tags or intended purpose. The result? Duplicate content penalties, frustrated webmasters, and a whole lot of wasted time trying to get Google to "understand" your site. Now, Bing? Bing doesn’t overcomplicate things. It doesn’t see minor content variations and freak out like Google does. It doesn’t penalize you for every slight difference between two pages that have the same general topic. Instead, Bing takes a more balanced approach to identifying and handling duplicate content. You won’t find yourself scrambling to fix duplicate content issues that Google invented in the first place. It just works. The Moral of the Story Why is Bing, a search engine that many still dismiss, consistently getting the basics right while Google is out here making life unnecessarily difficult for website owners? The answer is simple: Google is overcomplicating things, and it’s failing to acknowledge the importance of consistency and accuracy in indexing and content management. In contrast, Bing seems to have a more grounded, practical approach. Bing might not dominate the search engine market the way Google does, but at least when it comes to handling canonical URLs and duplicate content, Bing is getting it right. It’s time for Google to stop pretending that its “complex algorithms” are the answer to everything. Sometimes, simplicity works better. Maybe it’s time for Google to take a page out of Bing’s playbook and fix the very issues that have been plaguing SEO professionals for years. Because if Bing can get it right, there’s absolutely no excuse for Google to keep getting it wrong. Let’s talk about something that’s been driving me nuts for years: Google’s ongoing struggles with handling canonical URLs and duplicate content. It’s a problem that, despite being fundamental to search engine optimization (SEO), Google still can’t seem to get right. And while Google continues to flounder, guess who’s quietly acing it? Bing. Yes, you read that right – Bing! And while Google continues to flounder, guess who’s quietly acing it? Bing. Yes, you read that right – Bing! It’s honestly baffling. Here we are, in 2024, and Google, the self-proclaimed king of search, can’t even get the basics of web indexing straight. Let’s break this down. The Canonical URL Catastrophe A canonical URL is meant to tell search engines which version of a page is the “official” one when you have multiple URLs with similar or identical content. Seems simple enough, right? You’d think Google, with all its technological might and years of search engine dominance, would have perfected this by now. But nope. Google’s handling of canonical tags is, more often than not, a dumpster fire. Why? Because Google has a tendency to ignore your carefully placed canonical tags, or worse, it just gets them wrong. It might pick the wrong version of your page, or even worse – it might randomly declare some other URL as the canonical without any explanation. ignore randomly This leads to pages getting improperly indexed, with duplicate content spread across multiple URLs and absolutely no way for you to control it. Result? Your rankings plummet, your SEO strategy crumbles, and your site’s traffic tanks – all thanks to Google’s refusal to play by the canonical rulebook. SEO strategy But, oh, here’s where it gets good. Bing ? Bing doesn’t have these problems. Bing can crawl your site, see your canonical tag, and follow it like a well-behaved child. It doesn’t second-guess you, doesn’t ignore your instructions, and doesn’t make arbitrary decisions that hurt your visibility. Bing Bing understands that when a site owner points to a canonical URL, that’s what it should respect. It’s as if Bing actually listens to website owners, while Google seems to be playing SEO bingo with your site’s content. Duplicate Content Woes Then there’s duplicate content. Another area where Google’s “genius” just falls flat. We all know duplicate content is a big issue when it comes to SEO. When search engines find multiple copies of the same content, they’re supposed to figure out which one is the most relevant and display it in search results. Seems simple, right? Well, it’s not. Google has been notorious for misidentifying duplicate content, sometimes even penalizing sites with pages that have only slight variations. I’ve seen it happen time and again: you publish a well-researched article, and somehow, Google finds another page on your site and decides they’re too similar, tanking your rankings. Why does this happen? It’s because Google’s algorithm, despite being incredibly complex, still can’t reliably handle duplicate content in certain situations. There are cases where Google just can’t seem to distinguish between genuinely different pages and what’s essentially the same content presented slightly differently – even if those pages are clearly differentiated by their canonical tags or intended purpose. The result? Duplicate content penalties, frustrated webmasters, and a whole lot of wasted time trying to get Google to "understand" your site. Now, Bing? Bing doesn’t overcomplicate things. It doesn’t see minor content variations and freak out like Google does. It doesn’t penalize you for every slight difference between two pages that have the same general topic. Instead, Bing takes a more balanced approach to identifying and handling duplicate content. You won’t find yourself scrambling to fix duplicate content issues that Google invented in the first place. It just works. The Moral of the Story Why is Bing, a search engine that many still dismiss, consistently getting the basics right while Google is out here making life unnecessarily difficult for website owners? The answer is simple: Google is overcomplicating things, and it’s failing to acknowledge the importance of consistency and accuracy in indexing and content management . Google is overcomplicating things, and it’s failing to acknowledge the importance of consistency and accuracy in indexing and content management In contrast, Bing seems to have a more grounded, practical approach. Bing might not dominate the search engine market the way Google does, but at least when it comes to handling canonical URLs and duplicate content, Bing is getting it right. It’s time for Google to stop pretending that its “complex algorithms” are the answer to everything. Sometimes, simplicity works better. Maybe it’s time for Google to take a page out of Bing’s playbook and fix the very issues that have been plaguing SEO professionals for years. Because if Bing can get it right, there’s absolutely no excuse for Google to keep getting it wrong.

Why Bing Doesn’t Struggle with Canonical URLs and Duplicate Content, But Google Does!

For years, retail traders have had limited access to the kind of high-quality data that powers trading decisions at top financial institutions. But Eagle AI Labs is leveling the playing field. Known for its powerful 98.37% predictive accuracy, Eagle AI Labs uses cutting-edge AI and analytics to bring data-driven insights to traders of all levels, reshaping the trading landscape with tools that empower everyone. In this article, we’ll be diving into the project from how the Telegram Bot turned into a fully documented trading asset with unmatched accuracy and pro-level accessibility. An Inside Look at the Technology Driving Eagle AI Labs’ Success What makes Eagle AI Labs’ bot so accurate? You might have seen it among hundreds of other web3 projects on X/Twitter or on other articles that have been coming by lately. The secret lies in their technology’s sophisticated design. Eagle AI Labs uses a metric called Mean Absolute Percentage Error (MAPE) to measure its bot’s accuracy - which they documented on their website - calculating the average percentage difference between predicted and actual prices. With a MAPE of just 1.63%, Eagle AI Labs’ bot consistently provides near-real-time price forecasts. This has definitely been unseen, which is why this article is getting written, we’re experiencing something which can almost be called ‘revolutionary’.  The price forecasting is giving traders the confidence they need to make informed decisions in any market condition. Unlike basic bots, Eagle AI Labs' bot uses a neural network that continuously learns from past data. This self-learning AI adapts to market changes over time, ensuring it grows smarter with each use, just like the deep learning AI Chatbots that get to know you better every day. It’s not just a tool; it’s an evolving system designed to help traders stay ahead of market trends. "Our vision is to empower the everyday trader by democratizing access to the same quality of data and analysis once reserved only for large institutions," shared the Eagle AI Labs team. "By providing high-accuracy insights and innovative tools, we’re helping traders at all levels make smarter, data-driven decisions in an ever-evolving market." Flexible Access for All Levels: From Telegram Bot to Enterprise API Eagle AI Labs understands that every trader has unique needs, so it offers a flexible range of access points. For retail traders, the Telegram bot delivers real-time insights in an easy-to-use format. Users connect their wallets to access tiered insights based on their holdings of EAI tokens. Think of it as a WhatsApp-style chat, where you interact with a bot that guides you through trading with personalized insights. For more advanced traders and institutional clients, Eagle AI Labs also provides API integrations on the technical side, this allows deeper customization and integration into existing trading platforms. These options give traders control over how they use the data and ensure Eagle AI Labs is a scalable solution for everyone—from hobbyists to hedge funds. Supported by Big Names and Global Grants Eagle AI Labs’ vision has gained the backing of some of the biggest names in technology, Supported by grants from Google and Microsoft, the company has been able to expand beyond crypto assets to include FX and cash equities. These grants don’t just fund the technology—they provide the stability and reach needed to grow Eagle AI Labs’ impact globally. The company’s dedication to innovation has also earned it a seat at the table with global leaders. At events like Digital Assets Week London 2024 and Blockchain Life 2024 in Dubai, Eagle AI Labs has participated in discussions on AI, DeFi, and tokenization, showcasing its technology and engaging with forward-thinking leaders who are shaping the future of digital finance. By staying at the forefront of these industry conversations, watchers of the market like to see their involvement in notable events, which makes it more attractive for individuals to explore Eagle’s offering. Educating and Supporting Traders of All Levels Eagle AI Labs doesn’t just provide technology; it also offers educational resources that make complex trading concepts accessible. Yes, there are plenty of YouTube videos and Reddit posts, but the company’s Learning Platform covers a range of topics, from trading fundamentals to advanced strategies, allowing users to fully leverage the power of Eagle AI Labs’ tools and get a better understanding overall from their expert perspective. This focus on education empowers traders to make data-informed decisions, helping them grow in confidence and skill as they navigate complex markets. The platform operates on a tiered system based on users’ holdings of EAI tokens, which they can purchase on Uniswap or through the free concierge service Eagle AI Labs offers, ConX. As traders accumulate more tokens, they gain access to more advanced tools and insights, encouraging ongoing engagement and providing a clear pathway to enhanced capabilities. Eagle AI Labs’ combination of high-quality tools and educational support equips traders with the knowledge and resources to thrive. Making a Broader Impact But Eagle AI Labs’ mission goes beyond trading. The company sponsors community initiatives such as the Gambian Football Project, FC Racing, and Les Chats de Queaux—projects that reflect its commitment to creating a positive impact beyond financial markets. By supporting local and global communities, Eagle AI Labs shows that their mission isn’t just about profits but about meaningful change. Eagle AI Labs is setting a new standard in data-driven trading, bridging the gap between retail traders and institutional giants with innovative AI-powered solutions. By combining high-accuracy technology, flexible access options, educational support, and community-driven values, Eagle AI Labs isn’t just a platform—it’s a movement. Eagle AI Labs is redefining what it means to trade in today’s digital asset landscape, and for the doubters they’ve documented it all clearly on their website. The tools that were once only available to the financial elite are now accessible to all traders, thanks to Eagle AI Labs' dedication to democratizing data. Important sources: Whitepaper and documentation: https://docs.eagleailabs.com Understanding bot accuracy: https://www.eagleailabs.com/bot-accuracy ***Prediction Accuracy Timestamps: *** https://assets.eagleairesearch.com/files/documents/EAI_Bot_Prediction_Accuracy.pdf For years, retail traders have had limited access to the kind of high-quality data that powers trading decisions at top financial institutions. But Eagle AI Labs is leveling the playing field. Known for its powerful 98.37% predictive accuracy, Eagle AI Labs uses cutting-edge AI and analytics to bring data-driven insights to traders of all levels, reshaping the trading landscape with tools that empower everyone. In this article, we’ll be diving into the project from how the Telegram Bot turned into a fully documented trading asset with unmatched accuracy and pro-level accessibility. An Inside Look at the Technology Driving Eagle AI Labs’ Success An Inside Look at the Technology Driving Eagle AI Labs’ Success What makes Eagle AI Labs’ bot so accurate? You might have seen it among hundreds of other web3 projects on X/Twitter or on other articles that have been coming by lately. The secret lies in their technology’s sophisticated design. Eagle AI Labs uses a metric called Mean Absolute Percentage Error (MAPE) to measure its bot’s accuracy - which they documented on their website - calculating the average percentage difference between predicted and actual prices. With a MAPE of just 1.63%, Eagle AI Labs’ bot consistently provides near-real-time price forecasts. This has definitely been unseen, which is why this article is getting written, we’re experiencing something which can almost be called ‘revolutionary’.  The price forecasting is giving traders the confidence they need to make informed decisions in any market condition. Eagle AI Labs’ web3 projects on X/Twitter web3 projects on X/Twitter Unlike basic bots, Eagle AI Labs' bot uses a neural network that continuously learns from past data. This self-learning AI adapts to market changes over time, ensuring it grows smarter with each use, just like the deep learning AI Chatbots that get to know you better every day. It’s not just a tool; it’s an evolving system designed to help traders stay ahead of market trends. "Our vision is to empower the everyday trader by democratizing access to the same quality of data and analysis once reserved only for large institutions," shared the Eagle AI Labs team. "By providing high-accuracy insights and innovative tools, we’re helping traders at all levels make smarter, data-driven decisions in an ever-evolving market." "Our vision is to empower the everyday trader by democratizing access to the same quality of data and analysis once reserved only for large institutions," "By providing high-accuracy insights and innovative tools, we’re helping traders at all levels make smarter, data-driven decisions in an ever-evolving market." Flexible Access for All Levels: From Telegram Bot to Enterprise API Flexible Access for All Levels: From Telegram Bot to Enterprise API Eagle AI Labs understands that every trader has unique needs, so it offers a flexible range of access points. For retail traders, the Telegram bot delivers real-time insights in an easy-to-use format. Users connect their wallets to access tiered insights based on their holdings of EAI tokens. Think of it as a WhatsApp-style chat, where you interact with a bot that guides you through trading with personalized insights. real-time insights real-time insights For more advanced traders and institutional clients, Eagle AI Labs also provides API integrations on the technical side, this allows deeper customization and integration into existing trading platforms. These options give traders control over how they use the data and ensure Eagle AI Labs is a scalable solution for everyone—from hobbyists to hedge funds. Supported by Big Names and Global Grants Supported by Big Names and Global Grants Eagle AI Labs’ vision has gained the backing of some of the biggest names in technology, Supported by grants from Google and Microsoft, the company has been able to expand beyond crypto assets to include FX and cash equities. These grants don’t just fund the technology—they provide the stability and reach needed to grow Eagle AI Labs’ impact globally. The company’s dedication to innovation has also earned it a seat at the table with global leaders. At events like Digital Assets Week London 2024 and Blockchain Life 2024 in Dubai, Eagle AI Labs has participated in discussions on AI, DeFi, and tokenization, showcasing its technology and engaging with forward-thinking leaders who are shaping the future of digital finance. By staying at the forefront of these industry conversations, watchers of the market like to see their involvement in notable events, which makes it more attractive for individuals to explore Eagle’s offering. Educating and Supporting Traders of All Levels Educating and Supporting Traders of All Levels Eagle AI Labs doesn’t just provide technology; it also offers educational resources that make complex trading concepts accessible. Yes, there are plenty of YouTube videos and Reddit posts, but the company’s Learning Platform covers a range of topics, from trading fundamentals to advanced strategies, allowing users to fully leverage the power of Eagle AI Labs’ tools and get a better understanding overall from their expert perspective. This focus on education empowers traders to make data-informed decisions, helping them grow in confidence and skill as they navigate complex markets. The platform operates on a tiered system based on users’ holdings of EAI tokens, which they can purchase on Uniswap or through the free concierge service Eagle AI Labs offers, ConX. As traders accumulate more tokens, they gain access to more advanced tools and insights, encouraging ongoing engagement and providing a clear pathway to enhanced capabilities. Eagle AI Labs’ combination of high-quality tools and educational support equips traders with the knowledge and resources to thrive. Making a Broader Impact But Eagle AI Labs’ mission goes beyond trading. The company sponsors community initiatives such as the Gambian Football Project, FC Racing, and Les Chats de Queaux—projects that reflect its commitment to creating a positive impact beyond financial markets. By supporting local and global communities, Eagle AI Labs shows that their mission isn’t just about profits but about meaningful change. Eagle AI Labs is setting a new standard in data-driven trading, bridging the gap between retail traders and institutional giants with innovative AI-powered solutions. By combining high-accuracy technology, flexible access options, educational support, and community-driven values, Eagle AI Labs isn’t just a platform—it’s a movement. Eagle AI Labs is redefining what it means to trade in today’s digital asset landscape, and for the doubters they’ve documented it all clearly on their website . The tools that were once only available to the financial elite are now accessible to all traders, thanks to Eagle AI Labs' dedication to democratizing data. documented it all clearly on their website documented it all clearly on their website Important sources: Important sources: Whitepaper and documentation: Whitepaper and documentation: Whitepaper and documentation: https://docs.eagleailabs.com https://docs.eagleailabs.com https://docs.eagleailabs.com https://docs.eagleailabs.com Understanding bot accuracy: Understanding bot accuracy: Understanding bot accuracy: https://www.eagleailabs.com/bot-accuracy https://www.eagleailabs.com/bot-accuracy https://www.eagleailabs.com/bot-accuracy https://www.eagleailabs.com/bot-accuracy ***Prediction Accuracy Timestamps: *** https://assets.eagleairesearch.com/files/documents/EAI_Bot_Prediction_Accuracy.pdf https://assets.eagleairesearch.com/files/documents/EAI_Bot_Prediction_Accuracy.pdf https://assets.eagleairesearch.com/files/documents/EAI_Bot_Prediction_Accuracy.pdf https://assets.eagleairesearch.com/files/documents/EAI_Bot_Prediction_Accuracy.pdf

Eagle AI Labs: The AI-Driven Platform Making Institutional Data Accessible to All Traders

ঈগল এআই ল্যাবস: এআই-চালিত প্ল্যাটফর্ম প্রাতিষ্ঠানিক ডেটা সমস্ত ব্যবসায়ীদের কাছে অ্যাক্সেসযোগ্য করে তোলে

Eagle AI Labs: Platforma vođena umjetnom inteligencijom koja čini institucionalne podatke dostupnim svim trgovcima

Eagle AI Labs: la plataforma impulsada por IA que hace que los datos institucionales sean accesibles para todos los operadores

Eagle AI Labs: AI-k bultzatutako plataforma, datu instituzionalak merkatari guztientzat eskuragarri izateko

Eagle AI Labs: Platform Berbasis AI yang Membuat Data Institusional Dapat Diakses oleh Semua Pedagang

Eagle AI Labs: הפלטפורמה מונעת בינה מלאכותית הופכת נתונים מוסדיים לנגישים לכל הסוחרים

Eagle AI Labs: 機関投資家のデータをすべてのトレーダーがアクセスできるようにする AI 駆動型プラットフォーム

Eagle AI Labs: Platforma bazată pe inteligență artificială care face datele instituționale accesibile tuturor comercianților

Еагле АИ Лабс: Платформа вођена вештачком интелигенцијом која чини институционалне податке доступним свим трговцима

Eagle AI Labs: Pulatifomo leyi Fambiwaka hi AI leyi Endlaka leswaku Data ya Nhlangano yi Fikeleleka eka Vaxavisi Hinkwavo

Eagle AI Labs: تمام تاجروں کے لیے ادارہ جاتی ڈیٹا کو قابل رسائی بنانے والا AI سے چلنے والا پلیٹ فارم

Eagle AI Labs: Iqonga eliqhutywa yi-AI elenza ukuba iDatha yeZiko ifikeleleke kubo bonke abarhwebi.

Unioverse, a community-owned virtual environment and game creation platform, has announced a strategic partnership with N-Fusion, a veteran video game development studio. This collaboration aims to accelerate the development of games within the Unioverse ecosystem, potentially bridging the gap between traditional gaming and the emerging web3 space. Unioverse, created by Random Games, offers a unique proposition in the crowded blockchain gaming market. It provides a royalty-free platform for game developers to create within its science fiction universe. The partnership with N-Fusion is expected to leverage this framework to deliver new gaming experiences that could expand the reach and appeal of web3 gaming. Eric Peterson, Chief Creative Officer of Unioverse, expressed enthusiasm about the partnership, stating, "We are proud to be partnering with such high-quality developers like N-Fusion, who have a distinguished catalogue of producing stellar video games. Bringing seasoned developers like this into the Unioverse and empowering them to make quality content is a massive leap forward for us and a necessary step towards building an unparalleled user experience." N-Fusion, with its 27-year history in the gaming industry, brings considerable experience to the table. The New Jersey-based studio has developed games across multiple genres and platforms, including mobile, PC, and major gaming consoles. Their portfolio includes reboots of popular franchises and new games based on classic intellectual property such as Leisure Suit Larry and Deadly Dozen. Jeff Birns, CEO of N-Fusion, commented on the collaboration: "N-Fusion are thrilled to be collaborating with Random Games on the groundbreaking Unioverse project. We look forward to bringing this universe to life together." The partnership is part of a broader strategy by Unioverse to collaborate with both web2 and web3 developers. This approach aims to ensure a steady stream of high-quality games that can provide new ways for holders of the $UNIO token to interact within the growing ecosystem. Unioverse claims a community of more than 250,000 members, suggesting a significant potential player base for these upcoming games. However, it's worth noting that the web3 gaming space is still in its early stages, and the success of such initiatives remains to be seen. While the partnership between Unioverse and N-Fusion represents an interesting convergence of traditional game development expertise and blockchain technology, challenges remain in terms of mainstream adoption and proving the long-term viability of tokenized gaming ecosystems. The collaboration also raises questions about how traditional game development practices will adapt to the decentralized nature of web3 platforms. N-Fusion's extensive experience with established game engines like Unreal and Unity, as well as custom engine creation, could prove valuable in navigating these new waters. As the gaming industry continues to explore the potential of blockchain technology, partnerships like this one between Unioverse and N-Fusion will be closely watched. They may provide insights into how the industry can balance the innovative aspects of web3 with the proven gameplay mechanics and development practices of traditional gaming. The success of this venture could have implications beyond just Unioverse and N-Fusion, potentially influencing how other companies approach the integration of blockchain technology into gaming experiences. As always, the true test will be in the quality and appeal of the games produced, and how effectively they can leverage blockchain features to enhance rather than complicate the gaming experience. As development progresses, gamers and industry observers alike will be keen to see how this partnership translates into tangible products and whether it can indeed deliver on the promise of seamlessly blending web2 and web3 gaming experiences. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Unioverse, a community-owned virtual environment and game creation platform, has announced a strategic partnership with N-Fusion , a veteran video game development studio. This collaboration aims to accelerate the development of games within the Unioverse ecosystem, potentially bridging the gap between traditional gaming and the emerging web3 space. N-Fusion Unioverse , created by Random Games, offers a unique proposition in the crowded blockchain gaming market. It provides a royalty-free platform for game developers to create within its science fiction universe. The partnership with N-Fusion is expected to leverage this framework to deliver new gaming experiences that could expand the reach and appeal of web3 gaming. Unioverse Eric Peterson, Chief Creative Officer of Unioverse, expressed enthusiasm about the partnership, stating, "We are proud to be partnering with such high-quality developers like N-Fusion, who have a distinguished catalogue of producing stellar video games. Bringing seasoned developers like this into the Unioverse and empowering them to make quality content is a massive leap forward for us and a necessary step towards building an unparalleled user experience." N-Fusion, with its 27-year history in the gaming industry, brings considerable experience to the table. The New Jersey-based studio has developed games across multiple genres and platforms, including mobile, PC, and major gaming consoles. Their portfolio includes reboots of popular franchises and new games based on classic intellectual property such as Leisure Suit Larry and Deadly Dozen. Jeff Birns, CEO of N-Fusion , commented on the collaboration: "N-Fusion are thrilled to be collaborating with Random Games on the groundbreaking Unioverse project. We look forward to bringing this universe to life together." N-Fusion The partnership is part of a broader strategy by Unioverse to collaborate with both web2 and web3 developers. This approach aims to ensure a steady stream of high-quality games that can provide new ways for holders of the $UNIO token to interact within the growing ecosystem. Unioverse claims a community of more than 250,000 members, suggesting a significant potential player base for these upcoming games. However, it's worth noting that the web3 gaming space is still in its early stages, and the success of such initiatives remains to be seen. While the partnership between Unioverse and N-Fusion represents an interesting convergence of traditional game development expertise and blockchain technology, challenges remain in terms of mainstream adoption and proving the long-term viability of tokenized gaming ecosystems. The collaboration also raises questions about how traditional game development practices will adapt to the decentralized nature of web3 platforms. N-Fusion's extensive experience with established game engines like Unreal and Unity, as well as custom engine creation, could prove valuable in navigating these new waters. As the gaming industry continues to explore the potential of blockchain technology, partnerships like this one between Unioverse and N-Fusion will be closely watched. They may provide insights into how the industry can balance the innovative aspects of web3 with the proven gameplay mechanics and development practices of traditional gaming. The success of this venture could have implications beyond just Unioverse and N-Fusion, potentially influencing how other companies approach the integration of blockchain technology into gaming experiences. As always, the true test will be in the quality and appeal of the games produced, and how effectively they can leverage blockchain features to enhance rather than complicate the gaming experience. As development progresses, gamers and industry observers alike will be keen to see how this partnership translates into tangible products and whether it can indeed deliver on the promise of seamlessly blending web2 and web3 gaming experiences. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Unioverse Partners with N-Fusion to Bridge Web2 and Web3 Gaming

Unioverse s'associa amb N-Fusion per connectar Web2 i Web3 Gaming

Unioverse se asocia con N-Fusion para unir los juegos web2 y web3

Unioverse-k N-Fusion-ekin bat egiten du Web2 eta Web3 Gaming-en Bridge to Bridge

Universe s'associe à N-Fusion pour créer un pont entre les jeux Web2 et Web3

Unioverse が N-Fusion と提携し、Web2 と Web3 のゲームを橋渡し

Unioverse N-Fusion менен Web2 жана Web3 Gaming Bridge үчүн өнөктөштөр

Universe ezali kosala partenariat na N-Fusion mpo na Bridge Web2 mpe Web3 Gaming

Unioverse współpracuje z N-Fusion, aby połączyć gry Web2 i Web3

Unioverse сотрудничает с N-Fusion для объединения игр Web2 и Web3

Abafatanyabikorwa ba Unioverse hamwe na N-Fusion to Bridge Web2 na Web3 Gukina

Unioverse samarbetar med N-Fusion för att överbrygga Web2 och Web3 Gaming

Nakipagsosyo ang Unioverse sa N-Fusion to Bridge Web2 at Web3 Gaming

As a developer, frameworks are usually the first thing you grab when you want to speed things up and keep things reliable. People often talk about frameworks like they’re the perfect solution that can fix all your problems, making development faster, easier, and more efficient. However, if you've had some experience under your belt, you know that frameworks aren’t a one-size-fits-all solution. Picking the right one can streamline your work, but the wrong choice can lead to headaches down the road, slowing you down just when you need to move quickly. In this blog post, we’re going to dive into the real challenges and strategies that come with choosing and using frameworks. We’ll look at the potential pitfalls, how to avoid them, and ways to keep your codebase flexible — even when a framework is in play. The Relationship You Didn’t Know You Were Getting Into Committing to a framework is a bit like getting into a long-term relationship. And it’s not something to take lightly. Unlike a simple library or a small utility, frameworks come with opinions — lots of them. They impose structure and methodology on your application, whether you like it or not. It's crucial to remember that framework creators have their own priorities. They’re solving THEIR problems, not yours. They don’t owe you anything (unless, of course, you’ve got a buddy on the internal framework team, in which case, lucky you). If things go south, especially deep into your project, you could be in for a world of hurt. Now you’re stuck fixing it, or worse, ripping it out entirely. Not fun, right? So before you tie yourself to a framework, make sure it actually fits what you need. Otherwise, you’re rolling the dice. FAANG Problems Author has no idea if FAANG became MAANG, MANGA, or if we're all just in an anime now. Here’s where experience really counts. When companies grow rapidly, they often face challenges that no off-the-shelf solution can handle. The scale of these problems forces them to create their own tools — custom databases, ETL engines, BI tools — you name it. Big Tech giants like Google, LinkedIn, Spotify, and Netflix have led the way, building and open-sourcing tools that the rest of us now get to play with. But here’s the thing: these tools weren’t built to be universally applicable. They were created to solve specific problems that most companies will never encounter. Engineers who’ve worked at these big companies are used to dealing with these kinds of challenges — they’ve built solutions that operate at a scale most of us can only imagine. So when they move to smaller companies, the framework and tooling decisions they make are based on a deep understanding of both the power and the pitfalls of these technologies. Pushback Against Frameworks Lately, there’s been a bit of a rebellion brewing—people are getting tired of frameworks. Especially in the JavaScript world, developers are fed up with the constant churn. You’ve probably seen it: every time a major update drops, you have to rewrite significant chunks of your codebase just to stay relevant. And don’t get me started on the endless cycle of breaking changes. This frustration has given rise to a revival of simpler, more stable stacks. Stuff like vanilla HTML, CSS, jQuery, PHP, and SQLite are making a comeback among developers who prioritize getting things done over staying on the bleeding edge of tech. Yeah, it might feel a bit “old-school,” but it’s far from obsolete. With a simpler stack, you can iterate fast and ship even faster. Sure, newer frameworks like React, Node.js, and Flask have their place, but sometimes you don’t need all the fancy stuff. Sometimes, sticking to what works can save you a whole lot of headaches. The Framework Industrial Complex? Are frameworks becoming... overhyped? It’s hard not to notice that some frameworks feel more like tools designed to lure in VC funding than to solve real developer problems. It’s like there’s a whole ecosystem pushing developers into these frameworks, only for them to realize later that, once they scale, they’re locked into expensive platforms. Sure, frameworks like Databricks are open-source and free to start with, but as you grow, you're nudged towards their enterprise solutions. And suddenly, your hosting and operational costs are through the roof, while a simple VPS might have sufficed. It feels a bit like a trap, doesn’t it? Delaying the Framework Decision Here’s a piece of advice that I swear by: don’t rush into choosing a framework. Don’t commit until your architecture is fully fleshed out. The framework should be the last thing you worry about, not the first. First, make sure your architecture is solid. Know your core components and how they’ll interact. Once you’ve got that, you can evaluate frameworks with a clear understanding of where they might fit — or if they even fit at all. This approach ensures that your design is solid and suited to your specific needs. When it comes time to consider a framework, you’ll be able to see clearly where it can enhance your architecture without limiting it. Before you jump into using any framework, ask yourself: do you really, truly need it? Sure, frameworks can add layers of automation and convenience, but they also come with their own set of limitations. If your application has unique requirements, frameworks might not play nice with them. Think long and hard about the long-term benefits against the limitations. Making Frameworks Expendable If you decide a framework is worth the risk, make sure it’s easy to replace. Yes, you heard that right. Build in some flexibility so that if you need to ditch it later, it’s not a monumental task. Here’s how: Abstract Your Dependencies Keep the framework’s grubby little hands out of your core code. Use interfaces to abstract the framework’s functionality so that your business logic doesn’t depend on the framework directly. Let’s say you’re using TensorFlow for machine learning. Instead of embedding TensorFlow code throughout your entire application, define interfaces to keep things neat and abstract: from abc import ABC, abstractmethod
import tensorflow as tf

class ModelTrainer(ABC):
    @abstractmethod
    def train(self, data):
        pass

class TensorFlowTrainer(ModelTrainer):
    def train(self, data):
        # TensorFlow-specific training logic
        model = tf.keras.models.Sequential([...])
        model.compile(optimizer='adam', loss='sparse_categorical_crossentropy')
        model.fit(data, epochs=5)
        return model By doing this, your core logic isn’t tightly coupled with TensorFlow. If you need to switch to another machine learning framework, it’s just a matter of swapping out the implementation. Dependency Injection (DI) is Your Friend Next, let’s talk about Dependency Injection (DI). This technique lets you inject specific implementations of your interfaces into your classes, keeping your codebase decoupled and modular. class TrainingPipeline:
    def __init__(self, trainer: ModelTrainer):
        self.trainer = trainer

    def execute(self, data):
        return self.trainer.train(data)

# Inject the TensorFlowTrainer implementation
pipeline = TrainingPipeline(TensorFlowTrainer()) Now your code is flexible, easy to test, and ready for whatever the future throws at it. Embrace Inversion of Control (IoC) For the ultimate in flexibility, take things up a notch with Inversion of Control (IoC). This pattern allows you to specify implementations in a configuration file or a centralized location in your code. It’s the cherry on top of your framework-agnostic architecture. Here’s an example of how that might work with a configuration-based approach: # config.py
class Config:
    TRAINER = 'my_project.trainers.TensorFlowTrainer'

# main.py
import importlib

class TrainingPipeline:
    def __init__(self, trainer_class: str):
        module_name, class_name = trainer_class.rsplit('.', 1)
        module = importlib.import_module(module_name)
        trainer_cls = getattr(module, class_name)
        self.trainer = trainer_cls()

    def execute(self, data):
        return self.trainer.train(data)

# Inject the trainer specified in the configuration
from config import Config
pipeline = TrainingPipeline(Config.TRAINER) Now, if you ever need to replace TensorFlow with another machine learning framework, you simply update the configuration and carry on. No hassle, no drama. Conclusion Remember, frameworks should serve YOUR architecture, not dictate it. With careful planning and strategic abstraction, you can reap the benefits of frameworks without getting trapped in long-term dependencies. The trick is staying in control. So next time you’re about to dive into a framework, take a step back and remind yourself: you call the shots here. Thank you for reading! Any questions? Leave your comment below to start fantastic discussions! Check out my blog or come to say hi 👋 on Twitter or subscribe to my telegram channel. Plan your best! As a developer, frameworks are usually the first thing you grab when you want to speed things up and keep things reliable. People often talk about frameworks like they’re the perfect solution that can fix all your problems, making development faster, easier, and more efficient. However, if you've had some experience under your belt, you know that frameworks aren’t a one-size-fits-all solution. Picking the right one can streamline your work, but the wrong choice can lead to headaches down the road, slowing you down just when you need to move quickly. In this blog post, we’re going to dive into the real challenges and strategies that come with choosing and using frameworks. We’ll look at the potential pitfalls, how to avoid them, and ways to keep your codebase flexible — even when a framework is in play. The Relationship You Didn’t Know You Were Getting Into Committing to a framework is a bit like getting into a long-term relationship. And it’s not something to take lightly. Unlike a simple library or a small utility, frameworks come with opinions — lots of them. They impose structure and methodology on your application, whether you like it or not. It's crucial to remember that framework creators have their own priorities. They’re solving THEIR problems, not yours. They don’t owe you anything (unless, of course, you’ve got a buddy on the internal framework team, in which case, lucky you). If things go south, especially deep into your project, you could be in for a world of hurt. Now you’re stuck fixing it, or worse, ripping it out entirely. Not fun, right? So before you tie yourself to a framework, make sure it actually fits what you need. Otherwise, you’re rolling the dice. FAANG Problems Author has no idea if FAANG became MAANG, MANGA, or if we're all just in an anime now. Author has no idea if FAANG became MAANG, MANGA, or if we're all just in an anime now. Here’s where experience really counts. When companies grow rapidly, they often face challenges that no off-the-shelf solution can handle. The scale of these problems forces them to create their own tools — custom databases, ETL engines, BI tools — you name it. Big Tech giants like Google, LinkedIn, Spotify, and Netflix have led the way, building and open-sourcing tools that the rest of us now get to play with. But here’s the thing: these tools weren’t built to be universally applicable. They were created to solve specific problems that most companies will never encounter. Engineers who’ve worked at these big companies are used to dealing with these kinds of challenges — they’ve built solutions that operate at a scale most of us can only imagine. So when they move to smaller companies, the framework and tooling decisions they make are based on a deep understanding of both the power and the pitfalls of these technologies. Pushback Against Frameworks Lately, there’s been a bit of a rebellion brewing—people are getting tired of frameworks. Especially in the JavaScript world, developers are fed up with the constant churn. You’ve probably seen it: every time a major update drops, you have to rewrite significant chunks of your codebase just to stay relevant. And don’t get me started on the endless cycle of breaking changes. This frustration has given rise to a revival of simpler, more stable stacks. Stuff like vanilla HTML, CSS, jQuery, PHP, and SQLite are making a comeback among developers who prioritize getting things done over staying on the bleeding edge of tech. Yeah, it might feel a bit “old-school,” but it’s far from obsolete. With a simpler stack, you can iterate fast and ship even faster. Sure, newer frameworks like React, Node.js, and Flask have their place, but sometimes you don’t need all the fancy stuff. Sometimes, sticking to what works can save you a whole lot of headaches. The Framework Industrial Complex? Are frameworks becoming... overhyped? It’s hard not to notice that some frameworks feel more like tools designed to lure in VC funding than to solve real developer problems. It’s like there’s a whole ecosystem pushing developers into these frameworks, only for them to realize later that, once they scale, they’re locked into expensive platforms. Sure, frameworks like Databricks are open-source and free to start with, but as you grow, you're nudged towards their enterprise solutions. And suddenly, your hosting and operational costs are through the roof, while a simple VPS might have sufficed. It feels a bit like a trap, doesn’t it? Delaying the Framework Decision Here’s a piece of advice that I swear by: don’t rush into choosing a framework . Don’t commit until your architecture is fully fleshed out. don’t rush into choosing a framework The framework should be the last thing you worry about, not the first. First, make sure your architecture is solid. Know your core components and how they’ll interact. Once you’ve got that, you can evaluate frameworks with a clear understanding of where they might fit — or if they even fit at all. This approach ensures that your design is solid and suited to your specific needs. When it comes time to consider a framework, you’ll be able to see clearly where it can enhance your architecture without limiting it. Before you jump into using any framework, ask yourself: do you really, truly need it? Sure, frameworks can add layers of automation and convenience, but they also come with their own set of limitations. If your application has unique requirements, frameworks might not play nice with them. do you really, truly need it? Think long and hard about the long-term benefits against the limitations. Making Frameworks Expendable If you decide a framework is worth the risk, make sure it’s easy to replace. Yes, you heard that right. Build in some flexibility so that if you need to ditch it later, it’s not a monumental task. Here’s how: Abstract Your Dependencies Keep the framework’s grubby little hands out of your core code. Use interfaces to abstract the framework’s functionality so that your business logic doesn’t depend on the framework directly. Let’s say you’re using TensorFlow for machine learning. Instead of embedding TensorFlow code throughout your entire application, define interfaces to keep things neat and abstract: from abc import ABC, abstractmethod
import tensorflow as tf

class ModelTrainer(ABC):
    @abstractmethod
    def train(self, data):
        pass

class TensorFlowTrainer(ModelTrainer):
    def train(self, data):
        # TensorFlow-specific training logic
        model = tf.keras.models.Sequential([...])
        model.compile(optimizer='adam', loss='sparse_categorical_crossentropy')
        model.fit(data, epochs=5)
        return model from abc import ABC, abstractmethod
import tensorflow as tf

class ModelTrainer(ABC):
    @abstractmethod
    def train(self, data):
        pass

class TensorFlowTrainer(ModelTrainer):
    def train(self, data):
        # TensorFlow-specific training logic
        model = tf.keras.models.Sequential([...])
        model.compile(optimizer='adam', loss='sparse_categorical_crossentropy')
        model.fit(data, epochs=5)
        return model By doing this, your core logic isn’t tightly coupled with TensorFlow. If you need to switch to another machine learning framework, it’s just a matter of swapping out the implementation. Dependency Injection (DI) is Your Friend Next, let’s talk about Dependency Injection (DI). This technique lets you inject specific implementations of your interfaces into your classes, keeping your codebase decoupled and modular. class TrainingPipeline:
    def __init__(self, trainer: ModelTrainer):
        self.trainer = trainer

    def execute(self, data):
        return self.trainer.train(data)

# Inject the TensorFlowTrainer implementation
pipeline = TrainingPipeline(TensorFlowTrainer()) class TrainingPipeline:
    def __init__(self, trainer: ModelTrainer):
        self.trainer = trainer

    def execute(self, data):
        return self.trainer.train(data)

# Inject the TensorFlowTrainer implementation
pipeline = TrainingPipeline(TensorFlowTrainer()) Now your code is flexible, easy to test, and ready for whatever the future throws at it. Embrace Inversion of Control (IoC) For the ultimate in flexibility, take things up a notch with Inversion of Control (IoC). This pattern allows you to specify implementations in a configuration file or a centralized location in your code. It’s the cherry on top of your framework-agnostic architecture. Here’s an example of how that might work with a configuration-based approach: # config.py
class Config:
    TRAINER = 'my_project.trainers.TensorFlowTrainer'

# main.py
import importlib

class TrainingPipeline:
    def __init__(self, trainer_class: str):
        module_name, class_name = trainer_class.rsplit('.', 1)
        module = importlib.import_module(module_name)
        trainer_cls = getattr(module, class_name)
        self.trainer = trainer_cls()

    def execute(self, data):
        return self.trainer.train(data)

# Inject the trainer specified in the configuration
from config import Config
pipeline = TrainingPipeline(Config.TRAINER) # config.py
class Config:
    TRAINER = 'my_project.trainers.TensorFlowTrainer'

# main.py
import importlib

class TrainingPipeline:
    def __init__(self, trainer_class: str):
        module_name, class_name = trainer_class.rsplit('.', 1)
        module = importlib.import_module(module_name)
        trainer_cls = getattr(module, class_name)
        self.trainer = trainer_cls()

    def execute(self, data):
        return self.trainer.train(data)

# Inject the trainer specified in the configuration
from config import Config
pipeline = TrainingPipeline(Config.TRAINER) Now, if you ever need to replace TensorFlow with another machine learning framework, you simply update the configuration and carry on. No hassle, no drama. Conclusion Remember, frameworks should serve YOUR architecture, not dictate it. With careful planning and strategic abstraction, you can reap the benefits of frameworks without getting trapped in long-term dependencies. The trick is staying in control. So next time you’re about to dive into a framework, take a step back and remind yourself: you call the shots here. Thank you for reading! Thank you for reading! Any questions? Leave your comment below to start fantastic discussions! Check out my blog or come to say hi 👋 on Twitter or subscribe to my telegram channel . Plan your best! my blog Twitter my telegram channel

The Frameworks Dilemma

የ Frameworks አጣብቂኝ

Дылема рамак

El dilema de los marcos

O Dilema dos Frameworks

Dilema okvira

フレームワークのジレンマ

Frameworks dilema

O dilema das estruturas

Дилеммаи Frameworks

I-Frameworks Dilemma

Why Smart Committed Couples Have an "Open Phone" Policy

OpenAI just announced its newest model: ChatGPT o1. In their own words, they've trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes. I had no choice but to try the riddle that I used in my previous post on this new version of a reasoning model. I do not want to call it an LLM because we do not yet know much about its architecture, and it might be something different. The results were quite good. I used the same modified riddle of the farmer crossing a river that I presented last time to 4 LLM, where none of the AIs was able to resolve it successfully. Some with hilarious results, including creating new sheep to replace the one they had killed. Here is the original prompt:
A farmer wants to cross a river and take with him a wolf, a goat, and a cabbage. There is a boat that can fit him plus two ítems. If the wolf and the goat are alone on one shore, the wolf will eat the goat. If the goat and the cabbage are alone on the shore, the goat will eat the cabbage. How can the farmer bring the wolf, the goat, and the cabbage across the river? The reason the previous models were not able to solve the modified version of the riddle is that they had never seen it before. Their token-weighting system could not find in its history a proper answer. The main reason is that they could not really reason. They were like the student that has learned the material by hard and when asked for something novel it can not figure it out.
The ChatGPT o1 model was able to analyze and propose two possible solutions for this version of the riddle. Correct response To safely bring the wolf, the goat, and the cabbage across the river without any of them being eaten, the farmer can follow these steps:
Option 1: First Trip: The farmer takes the wolf and the cabbage across the river, leaving the goat alone on the original shore. This is safe because the goat won't eat anything, and there's no risk on either shore.


Second Trip: The farmer returns alone to the original shore to get the goat.


Third Trip: The farmer takes the goat across the river. Now, all three items—the wolf, the goat, and the cabbage—are safely on the other side.
At no point are the wolf and the goat left alone together, nor are the goat and the cabbage. Option 2: First Trip: The farmer takes the goat across the river, leaving the wolf and the cabbage together on the original shore. This is safe because the wolf doesn't eat cabbage.
Second Trip: The farmer returns alone to the original shore.
Third Trip: The farmer takes the wolf and the cabbage across the river.
All items are now safely on the other side. Both options ensure that none of the animals are left unsupervised in combinations where one might eat the other. By carefully planning the trips, the farmer successfully transports all three items across the river. What is new about this ChatGPT o1 model is that it will explain its reasoning. This is not only interesting to analyze but also answers the questions of LLM users who want to know how and why the model comes with an answer. Here is the reasoning process: Reasoning the mapping out of the river crossing Let’s explore the river crossing puzzle, where the boat carries the farmer and two items. The goal is to transport the wolf, goat, and cabbage without any conflicts. Ensuring policy compliance Checking for adherence to guidelines by evaluating risks and ensuring safety factors related to the user’s request. Thinking it through… I’m considering the farmer’s trips across the river. Transporting all three items in two trips wouldn’t work, as leaving the goat and cabbage together would lead to the goat eating the cabbage. Let’s explore alternatives. Weighing options I’m thinking through the farmer’s strategy, starting with the wolf and cabbage. They can be left safely together, leaving the goat behind. Working through the feasibility of making multiple trips to ensure all items are transported safely. I’m evaluating different scenarios to determine how the farmer can transport all items without any being eaten. The aim is to find the optimal solution. Charting the crossings I’m thinking through the farmer’s strategy for transporting the wolf, goat, and cabbage across the river. The sequence involves taking the wolf and cabbage together, returning for the goat, and ensuring no harm is done to any animal. Mapping out safe crossings Considering the farmer takes the goat first, then returns alone, and finally transports the wolf and cabbage, ensuring no harm happens under his watchful eye. Reassessing transportation I’m thinking through options to ferry the goat, cabbage, and wolf across the river without leaving conflicting pairs alone. Reevaluating options I’m mapping out the farmer’s journey with the goat, wolf, and cabbage. Returning alone, though, seems feasible. Progressing towards a balanced solution. Evaluating scenarios I’m working through how the farmer can successfully transfer the goat, wolf, and cabbage while keeping them safe during transport. The farmer’s presence avoids issues like the goat eating the cabbage or the wolf eating the goat. Crafting a strategy Mapping out the farmer’s crossing, the goat and cabbage can’t be left alone together with the wolf. The simplest way involves three trips: goat, then wolf, and cabbage together. Taking a closer look Interestingly enough, examining two options: transporting the goat first, then returning alone, or taking the wolf and cabbage, leaving them behind, and then returning for the goat. Both methods seem feasible. Mapping out solutions I’m detailing a logical sequence to ferry the wolf, cabbage, and goat across the river with the farmer’s assistance, ensuring no item is in danger. Ensuring safety I’m making sure each group avoids any harmful interactions. The farmer skillfully retrieves and transports each item, preventing any of them from becoming a harm to others. Analysis of the Analysis Reading the analysis feels like an interview process where you pose an interviewee a question and ask her to talk about their thinking process out loud. There are several interesting moments to consider: Understanding that there are multiple solutions. Halfway through the analysis in the section "Mapping out safe crossings," it realizes that there might be two possible answers to the question. Interestingly, as it is reassessing the options, it throws a text in Cyrillic. I was curious and got it translated to: So, it was actually trying to check with other sources. Something that we are told it still can not do. A hallucination maybe? or a preview of what a future version will be able to do? I like the way it starts on the "Taking a closer look" section. It seems to have a bit of a eureka moment when it states: "Interestingly enough: Examining two options" Creating a representation Dall-e added a fun note when asked to create a representation of the proper solution. First, it started to tell me that the solution was wrong, and it pointed me to the answer for the case known where the farmer could only take one item across. When I asked it to stop and create what I wanted, I got this: It is clear that Dall-e has not yet been augmented with the capabilities of ChatGPT o1, and it is interesting to see how it even tries to be politically correct by making the farmer's skin of different colors. How the two wolves end up in the picture is a riddle on its own. Conclusion I am positively surprised about the progress that the folks at OpenAI have made with their newer model, and I am already planning the next riddles to throw at it. Next coming up is a riddle created by the ancient Romans for the practice of Roman law... OpenAI just announced its newest model: ChatGPT o1. In their own words, they've trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes. I had no choice but to try the riddle that I used in my previous post on this new version of a reasoning model. I do not want to call it an LLM because we do not yet know much about its architecture, and it might be something different. The results were quite good. I used the same modified riddle of the farmer crossing a river that I presented last time to 4 LLM, where none of the AIs was able to resolve it successfully. Some with hilarious results, including creating new sheep to replace the one they had killed. Here is the original prompt:
A farmer wants to cross a river and take with him a wolf, a goat, and a cabbage. There is a boat that can fit him plus two ítems. If the wolf and the goat are alone on one shore, the wolf will eat the goat. If the goat and the cabbage are alone on the shore, the goat will eat the cabbage. How can the farmer bring the wolf, the goat, and the cabbage across the river? Here is the original prompt:
A farmer wants to cross a river and take with him a wolf, a goat, and a cabbage. There is a boat that can fit him plus two ítems. If the wolf and the goat are alone on one shore, the wolf will eat the goat. If the goat and the cabbage are alone on the shore, the goat will eat the cabbage. How can the farmer bring the wolf, the goat, and the cabbage across the river? The reason the previous models were not able to solve the modified version of the riddle is that they had never seen it before. Their token-weighting system could not find in its history a proper answer. The main reason is that they could not really reason. They were like the student that has learned the material by hard and when asked for something novel it can not figure it out.
The ChatGPT o1 model was able to analyze and propose two possible solutions for this version of the riddle. Correct response To safely bring the wolf, the goat, and the cabbage across the river without any of them being eaten, the farmer can follow these steps: Option 1: Option 1: First Trip: The farmer takes the wolf and the cabbage across the river, leaving the goat alone on the original shore. This is safe because the goat won't eat anything, and there's no risk on either shore. Second Trip: The farmer returns alone to the original shore to get the goat. Third Trip: The farmer takes the goat across the river. Now, all three items—the wolf, the goat, and the cabbage—are safely on the other side.
At no point are the wolf and the goat left alone together, nor are the goat and the cabbage. First Trip: The farmer takes the wolf and the cabbage across the river, leaving the goat alone on the original shore. This is safe because the goat won't eat anything, and there's no risk on either shore. First Trip: The farmer takes the wolf and the cabbage across the river, leaving the goat alone on the original shore. This is safe because the goat won't eat anything, and there's no risk on either shore. Second Trip: The farmer returns alone to the original shore to get the goat. Second Trip: The farmer returns alone to the original shore to get the goat. Third Trip: The farmer takes the goat across the river. Now, all three items—the wolf, the goat, and the cabbage—are safely on the other side.
At no point are the wolf and the goat left alone together, nor are the goat and the cabbage. Third Trip: The farmer takes the goat across the river. Now, all three items—the wolf, the goat, and the cabbage—are safely on the other side.
At no point are the wolf and the goat left alone together, nor are the goat and the cabbage. Option 2: Option 2: First Trip: The farmer takes the goat across the river, leaving the wolf and the cabbage together on the original shore. This is safe because the wolf doesn't eat cabbage. Second Trip: The farmer returns alone to the original shore. Third Trip: The farmer takes the wolf and the cabbage across the river.
All items are now safely on the other side. Both options ensure that none of the animals are left unsupervised in combinations where one might eat the other. By carefully planning the trips, the farmer successfully transports all three items across the river. First Trip: The farmer takes the goat across the river, leaving the wolf and the cabbage together on the original shore. This is safe because the wolf doesn't eat cabbage. Second Trip: The farmer returns alone to the original shore. Third Trip: The farmer takes the wolf and the cabbage across the river.
All items are now safely on the other side. Both options ensure that none of the animals are left unsupervised in combinations where one might eat the other. By carefully planning the trips, the farmer successfully transports all three items across the river. What is new about this ChatGPT o1 model is that it will explain its reasoning. This is not only interesting to analyze but also answers the questions of LLM users who want to know how and why the model comes with an answer. Here is the reasoning process: Reasoning the mapping out of the river crossing Let’s explore the river crossing puzzle, where the boat carries the farmer and two items. The goal is to transport the wolf, goat, and cabbage without any conflicts. Reasoning the mapping out of the river crossing Ensuring policy compliance Checking for adherence to guidelines by evaluating risks and ensuring safety factors related to the user’s request. Ensuring policy compliance Thinking it through… I’m considering the farmer’s trips across the river. Transporting all three items in two trips wouldn’t work, as leaving the goat and cabbage together would lead to the goat eating the cabbage. Let’s explore alternatives. Thinking it through… Weighing options I’m thinking through the farmer’s strategy, starting with the wolf and cabbage. They can be left safely together, leaving the goat behind. Working through the feasibility of making multiple trips to ensure all items are transported safely. I’m evaluating different scenarios to determine how the farmer can transport all items without any being eaten. The aim is to find the optimal solution. Weighing options Charting the crossings I’m thinking through the farmer’s strategy for transporting the wolf, goat, and cabbage across the river. The sequence involves taking the wolf and cabbage together, returning for the goat, and ensuring no harm is done to any animal. Charting the crossings Mapping out safe crossings Considering the farmer takes the goat first, then returns alone, and finally transports the wolf and cabbage, ensuring no harm happens under his watchful eye. Mapping out safe crossings Reassessing transportation I’m thinking through options to ferry the goat, cabbage, and wolf across the river without leaving conflicting pairs alone. Reassessing transportation Reevaluating options I’m mapping out the farmer’s journey with the goat, wolf, and cabbage. Returning alone, though, seems feasible. Progressing towards a balanced solution. Reevaluating options Evaluating scenarios I’m working through how the farmer can successfully transfer the goat, wolf, and cabbage while keeping them safe during transport. The farmer’s presence avoids issues like the goat eating the cabbage or the wolf eating the goat. Evaluating scenarios Crafting a strategy Mapping out the farmer’s crossing, the goat and cabbage can’t be left alone together with the wolf. The simplest way involves three trips: goat, then wolf, and cabbage together. Crafting a strategy Taking a closer look Interestingly enough, examining two options: transporting the goat first, then returning alone, or taking the wolf and cabbage, leaving them behind, and then returning for the goat. Both methods seem feasible. Taking a closer look Mapping out solutions I’m detailing a logical sequence to ferry the wolf, cabbage, and goat across the river with the farmer’s assistance, ensuring no item is in danger. Mapping out solutions Ensuring safety I’m making sure each group avoids any harmful interactions. The farmer skillfully retrieves and transports each item, preventing any of them from becoming a harm to others. Ensuring safety Analysis of the Analysis Reading the analysis feels like an interview process where you pose an interviewee a question and ask her to talk about their thinking process out loud. There are several interesting moments to consider: Understanding that there are multiple solutions. Halfway through the analysis in the section "Mapping out safe crossings," it realizes that there might be two possible answers to the question. Understanding that there are multiple solutions. Interestingly, as it is reassessing the options, it throws a text in Cyrillic. I was curious and got it translated to: So, it was actually trying to check with other sources. Something that we are told it still can not do. A hallucination maybe? or a preview of what a future version will be able to do? I like the way it starts on the "Taking a closer look" section. It seems to have a bit of a eureka moment when it states: "Interestingly enough: Examining two options" Creating a representation Dall-e added a fun note when asked to create a representation of the proper solution. First, it started to tell me that the solution was wrong, and it pointed me to the answer for the case known where the farmer could only take one item across. When I asked it to stop and create what I wanted, I got this: It is clear that Dall-e has not yet been augmented with the capabilities of ChatGPT o1, and it is interesting to see how it even tries to be politically correct by making the farmer's skin of different colors. How the two wolves end up in the picture is a riddle on its own. Conclusion I am positively surprised about the progress that the folks at OpenAI have made with their newer model, and I am already planning the next riddles to throw at it. Next coming up is a riddle created by the ancient Romans for the practice of Roman law...

ChatGPT Just Got The Ability To Solve Riddles

If you’ve spent any time on Facebook lately—and who hasn’t?—you’ve probably seen it. A group with a title that practically waves a red flag: “SCAMMERS LIST UPDATE.” It sounds like the place where you'd finally find the justice you’ve been looking for after falling victim to an online scam. Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Maybe they’ll track down your lost money, or better yet, the scammer who conned you. Well, spoiler alert: they won’t. In fact, the ones behind this group are likely the same folks who ripped you off in the first place. Facebook, now going by Meta (because a rebrand magically fixes everything), is supposedly equipped with state-of-the-art systems to protect users from fraud. You’d think that includes shutting down a group that’s effectively a wolf in sheep’s clothing. But no, “SCAMMERS LIST UPDATE” is still up and running, despite countless reports by concerned users. And let’s be honest—Meta’s reaction has been about as useful as shouting into the wind. At first glance, this group seems almost noble. They’ve got the look of a do-gooder vigilante squad, dedicated to helping scam victims recover their hard-earned cash. But here’s where it gets twisted: the group is nothing more than a scam itself, a sinister plot to squeeze even more money out of already vulnerable victims. It’s like getting pickpocketed and then paying the thief to "help" you find your wallet. In what can only be described as a truly bitter irony, these fraudsters charge fees for “recovering” stolen funds. Spoiler number two: once you’ve sent money to a scammer, it’s gone. Vanished. The chances of some random Facebook group recovering it? About as likely as Facebook’s customer service actually responding to your complaints in a timely manner. But the real kicker? The group is riddled with scammers pretending to be everyday users. These aren’t your average internet trolls; these are organized scammers, often from overseas, posing as Westerners with stolen photos and fake profiles. And while the average user might not notice anything amiss, a closer look shows this group for what it is: a full-on scam factory. Profiles are fake, motives are even faker, and the whole thing is operating under the not-so-watchful eye of Meta. Despite numerous reports—complaints about everything from fake profiles to the scams happening right in plain sight—Meta has responded with a resounding, “We did not take any action.” Yeah, you read that right. One of the biggest tech companies in the world, with access to the kind of AI most of us can only dream of, is apparently powerless against a bunch of digital con artists. It’s almost laughable, except it’s not. Meta’s failure to act sends a chilling message: scammers are safe here. As long as they don’t get too loud about it, they can operate under the radar with little to no fear of getting booted off the platform. So what happens when someone, already humiliated and out a chunk of cash, turns to Meta for help? They’re met with silence—or worse, with a dismissive shrug. Why It's Time for Governments to Step In Meta's apparent refusal to address the rising tide of scams on its platform sends a troubling message: scammers have a safe haven under their watch. Rather than cracking down on fraud, Meta’s inaction seems to shield the very criminals preying on innocent users. Victims, already humiliated and financially drained, find no justice when they report fake profiles and fraudulent activity—just silence. The negligence isn't just a technological glitch; it’s a moral failure. It's time for governments to intervene, hold Meta accountable, and put an end to this unchecked lawlessness. Australia’s Albanese Government is stepping up to the plate with draft legislation aimed at slapping hefty penalties—up to $50 million—on banks, telecoms, and social media platforms like Facebook if they fail to fight back against fraud. Assistant Treasurer Stephen Jones is leading the charge, declaring that Australia will become one of the toughest places in the world for scammers to operate. He emphasized, "The best protections anywhere in the world should be available to people here in Australia." The truth is, Australians are losing too much money to scams. Although we've avoided the international trend where scam losses double yearly, we’re still seeing far too many victims. Jones' words signal a shift in accountability—finally putting pressure on social media giants like Facebook, which have let scams flourish for far too long. Former Sunrise host David Koch knows the frustration all too well. For years, he’s called out scammers using his image and fake quotes to deceive people, with Facebook doing little to stop it. “I had a bloke on the weekend contact me through Facebook, abusing me because he lost $30,000 to a scam that used my picture and dodgy comments,” says Koch. The reality is this: Facebook has devolved into a breeding ground for scams. The platform, once intended to connect us, has become a cesspool for fraudsters, from fake ads to phishing schemes, all targeting users daily. Even worse, Facebook’s ad system seems to amplify these scams, giving fraudsters an even bigger stage. Rather than protecting users, Meta seems more focused on cashing in ad revenue, no matter how deceptive the ads may be. Scammers are thriving on the very platform that claims to keep us safe. If governments don't intervene, Meta’s complicity will only continue to endanger users worldwide. It’s time for someone to wake up and realize this isn’t just a technical oversight—it’s a moral issue. Meta’s refusal to take down groups like “SCAMMERS LIST UPDATE” doesn’t just allow scammers to thrive, it almost feels like an endorsement. And as much as we’d love to think we’re safe online, the truth is that until companies like Meta are held accountable, scam culture will continue to thrive in plain sight. At this point, maybe it’s time to ask the government to step in. We’ve let these platforms self-regulate long enough, and it’s clear that isn’t working. Letting scammers run rampant under the guise of “user-generated content” is more than irresponsible—it’s complicit. Meta may think a new name wipes the slate clean, but if this group is any indication, the mess is far from over. If you’ve spent any time on Facebook lately—and who hasn’t?—you’ve probably seen it. A group with a title that practically waves a red flag: “SCAMMERS LIST UPDATE.” It sounds like the place where you'd finally find the justice you’ve been looking for after falling victim to an online scam. Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Maybe they’ll track down your lost money, or better yet, the scammer who conned you. Well, spoiler alert: they won’t. In fact, the ones behind this group are likely the same folks who ripped you off in the first place. Facebook, now going by Meta (because a rebrand magically fixes everything), is supposedly equipped with state-of-the-art systems to protect users from fraud . You’d think that includes shutting down a group that’s effectively a wolf in sheep’s clothing. fraud But no, “ SCAMMERS LIST UPDATE ” is still up and running, despite countless reports by concerned users. And let’s be honest—Meta’s reaction has been about as useful as shouting into the wind. SCAMMERS LIST UPDATE At first glance, this group seems almost noble. They’ve got the look of a do-gooder vigilante squad, dedicated to helping scam victims recover their hard-earned cash. But here’s where it gets twisted: the group is nothing more than a scam itself, a sinister plot to squeeze even more money out of already vulnerable victims. scam victims It’s like getting pickpocketed and then paying the thief to "help" you find your wallet. It’s like getting pickpocketed and then paying the thief to "help" you find your wallet. It’s like getting pickpocketed and then paying the thief to "help" you find your wallet. In what can only be described as a truly bitter irony, these fraudsters charge fees for “recovering” stolen funds. Spoiler number two: once you’ve sent money to a scammer, it’s gone. Vanished. The chances of some random Facebook group recovering it? About as likely as Facebook’s customer service actually responding to your complaints in a timely manner. Facebook But the real kicker? The group is riddled with scammers pretending to be everyday users. These aren’t your average internet trolls; these are organized scammers, often from overseas, posing as Westerners with stolen photos and fake profiles. And while the average user might not notice anything amiss, a closer look shows this group for what it is: a full-on scam factory. Profiles are fake, motives are even faker, and the whole thing is operating under the not-so-watchful eye of Meta. closer look this group Despite numerous reports—complaints about everything from fake profiles to the scams happening right in plain sight—Meta has responded with a resounding, “We did not take any action.” Yeah, you read that right. fake profiles One of the biggest tech companies in the world, with access to the kind of AI most of us can only dream of, is apparently powerless against a bunch of digital con artists. It’s almost laughable, except it’s not. Meta’s failure to act sends a chilling message: scammers are safe here. As long as they don’t get too loud about it, they can operate under the radar with little to no fear of getting booted off the platform. So what happens when someone, already humiliated and out a chunk of cash, turns to Meta for help? They’re met with silence—or worse, with a dismissive shrug. Why It's Time for Governments to Step In Meta's apparent refusal to address the rising tide of scams on its platform sends a troubling message: scammers have a safe haven under their watch. Rather than cracking down on fraud, Meta’s inaction seems to shield the very criminals preying on innocent users. Victims, already humiliated and financially drained, find no justice when they report fake profiles and fraudulent activity—just silence. The negligence isn't just a technological glitch; it’s a moral failure. It's time for governments to intervene, hold Meta accountable, and put an end to this unchecked lawlessness. Australia’s Albanese Government is stepping up to the plate with draft legislation aimed at slapping hefty penalties—up to $50 million—on banks, telecoms, and social media platforms like Facebook if they fail to fight back against fraud. Assistant Treasurer Stephen Jones is leading the charge, declaring that Australia will become one of the toughest places in the world for scammers to operate. He emphasized, "The best protections anywhere in the world should be available to people here in Australia." The truth is, Australians are losing too much money to scams. Although we've avoided the international trend where scam losses double yearly, we’re still seeing far too many victims. Jones' words signal a shift in accountability—finally putting pressure on social media giants like Facebook, which have let scams flourish for far too long. Former Sunrise host David Koch knows the frustration all too well. For years, he’s called out scammers using his image and fake quotes to deceive people, with Facebook doing little to stop it. “I had a bloke on the weekend contact me through Facebook, abusing me because he lost $30,000 to a scam that used my picture and dodgy comments,” says Koch. Sunrise host David Koch The reality is this: Facebook has devolved into a breeding ground for scams. The platform, once intended to connect us, has become a cesspool for fraudsters, from fake ads to phishing schemes, all targeting users daily. Even worse, Facebook’s ad system seems to amplify these scams, giving fraudsters an even bigger stage. Rather than protecting users, Meta seems more focused on cashing in ad revenue, no matter how deceptive the ads may be. Scammers are thriving on the very platform that claims to keep us safe. If governments don't intervene, Meta’s complicity will only continue to endanger users worldwide. It’s time for someone to wake up and realize this isn’t just a technical oversight—it’s a moral issue. Meta’s refusal to take down groups like “SCAMMERS LIST UPDATE” doesn’t just allow scammers to thrive, it almost feels like an endorsement. And as much as we’d love to think we’re safe online, the truth is that until companies like Meta are held accountable, scam culture will continue to thrive in plain sight. At this point, maybe it’s time to ask the government to step in. We’ve let these platforms self-regulate long enough, and it’s clear that isn’t working. Letting scammers run rampant under the guise of “user-generated content” is more than irresponsible—it’s complicit. Meta may think a new name wipes the slate clean, but if this group is any indication, the mess is far from over.

Meta's Blind Spot: How Scammers Run Free On Facebook While Victims Pay the Price

I think Spielberg is trying to see how much money he can make & how many scams he can run at once by exploiting everything that has to do with his Wombat creation, the Polygon Hack, and his NFT App. Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR WAX, Wombat Exchange & $WOMBAT is looking VERY Sketchy Web3 P2E Apps can't seem to get out their own way, or rather the Devs can't seem to stop thinking about their own pockets. I've seen it too much over the last three years, honestly. A Sh!tcoin is created (or not, sometimes the NFT is the malware/ransomware), branded/marketed as an Alt coin, but the token ain't anywhere near safe or profitable. It always ends up costing the player, even if the Devs get caught. ARKHAM revealed a lot of code & tokens made to just funnel money from one wallet to another so that no one suspects money laundering. What is Wombat Exchange & The WOMBAT App? Funny, there was actually an article written about WOMPLAY.io and the WOMBAT App, of which I'll link here so my fellow writers still get leads. It started out as a very legitimate & profitable NFT Gaming Startup with its own token exchange. And then users went from making $1k-$3k per week with near instant withdrawals to barely making a single dollar, even after staking NFTs & $WOMBAT to build it's value. And $WOMBAT was supposed to be on WAX, EOS, MATIC, TELOS, & ETH Why Am I Telling You This? The Devs literally do not care about your investing, your expected rewards, etc. They're busy Phishing, Pumping and Dumping, and honestly trying to turn this NFT game into a ponzi scheme. I think it's at that point in their scam where the money they're stealing drowns out everything else. Reviews for WOMBAT in the Play Store seem to be artificial & Spielwoks doesn't seem to give a f*** about their Dev profile. 4-5 star reviews seem to be from bots & critical reviews have gotten the same copy/paste fake apology since 2022. Mind you, $WOMBAT only been official for just maybe 5 years. So, their App & Web3 browser makes you pay them to get unlimited access to all your private keys for the different tokens they offer; AND it's a monthly subscription. They claimed that subscribing gets you unlimited access to all your wallets on their app along with unlimited WAX, but the way their RAM is set up, you can't swap. AND they don't give you unlimited WAX, so you can't withdraw either. That's a Rug Pull. How this Will Impact P2E, NFTS & the Cryptocurrency Industry? I hate to seem used to this because Scams always suck, but at this point it's nearly a regular occurrence. I was doing my research for this article on blockscan.io and saw so many other tokens aside from $WOMBAT with the Phishing tag w their wallet profile. There were at least 300 different fake/broken NFTs tagged as either Suspicious, Spam, or straight up Phishing. Gamers will perhaps get tired of this and cut out NFT Gaming entirely or create our own software, specifically to Scam (or expose) the growing number of Scammers. We may also end up with some kind of regulatory body over the Blockchain instead of it being decentralized with only Governance & Security Coins. Centralized banks definitely aren't going to back cryptocurrency any time soon because Defi is an easier target for scammers; but the very same currency that markets itself on being unhackable & decentralized is under near contant attack from Scammers. Because it's decentralized. Final Thoughts on Wombat Exchange/Womplay.io Scam? Be careful out here, honestly. Despite the fact running a legitimate business is more profitable and brings you more opportunities as an entrepreneur, scammers are going to do what they do. Scammers are going to keep up with their schemes & plots until things go so far left that they seem to come full circle, so I think us consumers/programmers/hackers should take a right and stop them in their tracks. They play stupid games (pun intended), they win stupid prizes. **That**should be the next Governance token added to the Blockchain. Of course, here are some of those Google reviews They tried to act like Womplay & Wombat are two different things, but Womplay is the browser that comes with the app. Before the app came, Womplay.io stood alone as the Gamefi Browser & Exchange. SmartConverter (Proxy) (0xE73) Is simply a conversion coin with Zero monetary value, no White paper, and it just funnels stolen crypto to a different wallet trace here. I think Spielberg is trying to see how much money he can make & how many scams he can run at once by exploiting everything that has to do with his Wombat creation, the Polygon Hack, and his NFT App. Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR WAX, Wombat Exchange & $WOMBAT is looking VERY Sketchy Web3 P2E Apps can't seem to get out their own way, or rather the Devs can't seem to stop thinking about their own pockets. I've seen it too much over the last three years, honestly. A Sh!tcoin is created (or not, sometimes the NFT is the malware/ransomware), branded/marketed as an Alt coin, but the token ain't anywhere near safe or profitable. It always ends up costing the player, even if the Devs get caught. ARKHAM revealed a lot of code & tokens made to just funnel money from one wallet to another so that no one suspects money laundering. What is Wombat Exchange & The WOMBAT App? Funny, there was actually an article written about WOMPLAY.io and the WOMBAT App, of which I'll link here so my fellow writers still get leads. It started out as a very legitimate & profitable NFT Gaming Startup with its own token exchange. And then users went from making $1k-$3k per week with near instant withdrawals to barely making a single dollar, even after staking NFTs & $WOMBAT to build it's value. And $WOMBAT was supposed to be on WAX, EOS, MATIC, TELOS, & ETH Why Am I Telling You This? The Devs literally do not care about your investing, your expected rewards, etc. They're busy Phishing, Pumping and Dumping, and honestly trying to turn this NFT game into a ponzi scheme. I think it's at that point in their scam where the money they're stealing drowns out everything else. Reviews for WOMBAT in the Play Store seem to be artificial & Spielwoks doesn't seem to give a f*** about their Dev profile. 4-5 star reviews seem to be from bots & critical reviews have gotten the same copy/paste fake apology since 2022. Mind you, $WOMBAT only been official for just maybe 5 years. So, their App & Web3 browser makes you pay them to get unlimited access to all your private keys for the different tokens they offer; AND it's a monthly subscription. They claimed that subscribing gets you unlimited access to all your wallets on their app along with unlimited WAX, but the way their RAM is set up, you can't swap. AND they don't give you unlimited WAX, so you can't withdraw either. That's a Rug Pull. How this Will Impact P2E, NFTS & the Cryptocurrency Industry? I hate to seem used to this because Scams always suck, but at this point it's nearly a regular occurrence. I was doing my research for this article on blockscan.io and saw so many other tokens aside from $WOMBAT with the Phishing tag w their wallet profile. There were at least 300 different fake/broken NFTs tagged as either Suspicious, Spam, or straight up Phishing. Gamers will perhaps get tired of this and cut out NFT Gaming entirely or create our own software, specifically to Scam (or expose) the growing number of Scammers. so so We may also end up with some kind of regulatory body over the Blockchain instead of it being decentralized with only Governance & Security Coins. Centralized banks definitely aren't going to back cryptocurrency any time soon because Defi is an easier target for scammers; but the very same currency that markets itself on being unhackable & decentralized is under near contant attack from Scammers. Because it's decentralized. Because Final Thoughts on Wombat Exchange/Womplay.io Scam? Be careful out here, honestly. Despite the fact running a legitimate business is more profitable and brings you more opportunities as an entrepreneur, scammers are going to do what they do. Scammers are going to keep up with their schemes & plots until things go so far left that they seem to come full circle, so I think us consumers/programmers/hackers should take a right and stop them in their tracks. They play stupid games (pun intended), they win stupid prizes. ** That **should be the next Governance token added to the Blockchain. That Of course, here are some of those Google reviews They tried to act like Womplay & Wombat are two different things, but Womplay is the browser that comes with the app. Before the app came, Womplay.io stood alone as the Gamefi Browser & Exchange. SmartConverter (Proxy) (0xE73) Is simply a conversion coin with Zero monetary value, no White paper, and it just funnels stolen crypto to a different wallet trace here . here

Wombat Exchange? Womplay.io? $WOMBAT, WOM, WAX, TELOS? 

Mike DeKock, Founder and CEO at MJD Advisors As data security increases with the demand to seal systems against the overwhelming wave of cyber attacks, more startups have taken to SOC 2 reports to prove their cyber hygiene to clients. Many even do it to enhance their business opportunities. However, you might still have your hangups about the auditing process, as it’s been portrayed as a difficult requirement you’d rather avoid. The truth is the compliance sector has been undergoing massive shifts in recent years to adjust to business demands, completely changing how companies can demonstrate their data security. For example, gathering evidence isn’t done manually anymore, which used to require a lot of effort and time from everyone involved. Governance, risk, and compliance (GRC) software now automates those tasks to run in the back of your operations — it’s also a booming market estimated to make $37.63 billion within the next four years. Still, misconceptions run high, with companies even resorting to shapeshifting their operations overnight to please auditors rather than doing it for the well-being of their business. While temporarily helpful, this isn’t what good compliance should yield for you. Instead, it should look like a growth accelerator that showcases your good practices and creates positive change within your organization. So, if you’re a CTO, a senior engineer, or any other business leader responsible for data compliance, it’s time we debunk and clarify three things for you to confidently undertake a SOC 2 examination. What You Know About SOC 2 Is in the Past While SOC 2’s history stretches back to the 1970s, it’s a relatively new compliance standard established in 2010. It’s been almost 15 years, yet the process has only dramatically shifted in the last couple of them. It’s not filled with endless print screens and form after form of security questionnaires. However, this is how the majority of people still perceive compliance. Most misconceptions simply lack context or are outdated. Today, thanks to compliance management tools, the process is much easier and smoother. These programs specialize in automating manual and time-consuming tasks so tasks are automated and done asynchronously, eliminating the need for lengthy meetings and business slowdowns to meet SOC 2 requirements. For example, some GRC platforms connect with popular developer tools like GitHub to monitor their daily activities for compliance purposes without constantly interrupting their workflow. These tools have exponentially reduced the time it takes to perform complex audit activities, injecting value and efficiency into them instead. Automating tasks has also taken the weight off of auditors’ shoulders, allowing them to spend more time on analytical tasks. Their highly technical approach to compliance has also helped them understand what the programs they’re examining are about. As a result, they’ve evolved into professionals who can aid businesses in adopting better data security practices and GRC tools to stay compliant beyond SOC 2. SOC 2 Isn’t As Requirement-Intensive As You Think In the midst of all the compliance requirements tech companies must complete, something about SOC 2 got lost in translation. As opposed to other more rigid audits, SOC 2 reports are shaped around company needs facing their industry and client base, not a checklist of standard conditions you must fit into. In short, it’s businesses who make the rules to demonstrate the security commitments they’ve made to their clients. While this sounds counterintuitive to what compliance is — where everyone needs to adhere to very specific practices mandated by a regulatory agency — this freedom is actually what makes SOC 2 such a successful compliance report. It’s also what has made North American companies in industries like SaaS prefer it over security questionnaires. This approach is advantageous because, as a security framework, SOC 2 recognizes all companies operate differently, cater to diverse clients, and offer a wide range of products or services. It would be impossible to expect everyone to follow the same requirements. For example, an edtech company might focus on access controls for student data, while a financial services company might prioritize data encryption for monetary transactions. What’s true is that SOC 2 uses five Trust Service Criteria, of which only one is mandatory (security controls). When meeting with an auditor, you will discuss your product and assess which criteria you must meet and which ones you’d like to leave out. Remember, SOC 2 isn’t mandatory but rather a business decision that will benefit your company, so it’s up to you to understand your needs and wisely choose which criteria to comply with. Don’t Upgrade Just To Please Auditors As someone who has been in the auditing business for decades, I’ve seen it all. One of those things I witness way too often, and which companies should definitely refrain from, is acquiring security tools right before your examination just to please auditors. Whether you keep those tools after completing your report or not, you shouldn’t perceive them as a temporary bandaid to pass a test. SOC 2 takes inventory of practices and processes you already do to provide your clients and potential ones an insight into your security posture. If you were to temporarily use programs like intrusion detection, static code analysis, and other vulnerability management tools just for the audit, you’d be letting down, and even misleading, clients with your SOC 2 report. Ultimately, you can end up harming your company with deceitful practices. Instead, CTOs should be encouraged to sit down with auditors and be as transparent as possible — they’re there to highlight the good work you already do, not point out your weaknesses. If you receive an exception, this means auditors did their job well and provided you with a solution to improve your practices and comply with better data security. If anything, allow audits to be the reason you implement good security practices, enabling your company to land better deals and achieve greater success in the future. Who wouldn’t want that? While we understand the SOC 2 perception shift won’t happen overnight, it’s important to advocate for its renewed approach, easing more companies into it with more confidence and willingness to showcase their security practices. Auditing firms are quickly adapting to the pace of the startup and tech industry, making compliance a streamlined requirement that barely looks like its past self. Mike DeKock, Founder and CEO at MJD Advisors Mike DeKock , Founder and CEO at MJD Advisors Mike DeKock Mike DeKock MJD Advisors MJD Advisors As data security increases with the demand to seal systems against the overwhelming wave of cyber attacks, more startups have taken to SOC 2 reports to prove their cyber hygiene to clients. Many even do it to enhance their business opportunities . However, you might still have your hangups about the auditing process, as it’s been portrayed as a difficult requirement you’d rather avoid. business opportunities business opportunities The truth is the compliance sector has been undergoing massive shifts in recent years to adjust to business demands, completely changing how companies can demonstrate their data security. For example, gathering evidence isn’t done manually anymore, which used to require a lot of effort and time from everyone involved. Governance, risk, and compliance (GRC) software now automates those tasks to run in the back of your operations — it’s also a booming market estimated to make $37.63 billion within the next four years. $37.63 billion $37.63 billion Still, misconceptions run high, with companies even resorting to shapeshifting their operations overnight to please auditors rather than doing it for the well-being of their business. While temporarily helpful, this isn’t what good compliance should yield for you. Instead, it should look like a growth accelerator that showcases your good practices and creates positive change within your organization. So, if you’re a CTO, a senior engineer, or any other business leader responsible for data compliance, it’s time we debunk and clarify three things for you to confidently undertake a SOC 2 examination. What You Know About SOC 2 Is in the Past What You Know About SOC 2 Is in the Past While SOC 2’s history stretches back to the 1970s , it’s a relatively new compliance standard established in 2010. It’s been almost 15 years, yet the process has only dramatically shifted in the last couple of them. It’s not filled with endless print screens and form after form of security questionnaires. However, this is how the majority of people still perceive compliance. stretches back to the 1970s stretches back to the 1970s Most misconceptions simply lack context or are outdated. Today, thanks to compliance management tools, the process is much easier and smoother. These programs specialize in automating manual and time-consuming tasks so tasks are automated and done asynchronously, eliminating the need for lengthy meetings and business slowdowns to meet SOC 2 requirements. For example, some GRC platforms connect with popular developer tools like GitHub to monitor their daily activities for compliance purposes without constantly interrupting their workflow. These tools have exponentially reduced the time it takes to perform complex audit activities, injecting value and efficiency into them instead. Automating tasks has also taken the weight off of auditors’ shoulders, allowing them to spend more time on analytical tasks. Their highly technical approach to compliance has also helped them understand what the programs they’re examining are about. As a result, they’ve evolved into professionals who can aid businesses in adopting better data security practices and GRC tools to stay compliant beyond SOC 2. SOC 2 Isn’t As Requirement-Intensive As You Think SOC 2 Isn’t As Requirement-Intensive As You Think In the midst of all the compliance requirements tech companies must complete, something about SOC 2 got lost in translation. As opposed to other more rigid audits, SOC 2 reports are shaped around company needs facing their industry and client base, not a checklist of standard conditions you must fit into. In short, it’s businesses who make the rules to demonstrate the security commitments they’ve made to their clients. While this sounds counterintuitive to what compliance is — where everyone needs to adhere to very specific practices mandated by a regulatory agency — this freedom is actually what makes SOC 2 such a successful compliance report. It’s also what has made North American companies in industries like SaaS prefer it over security questionnaires. This approach is advantageous because, as a security framework, SOC 2 recognizes all companies operate differently, cater to diverse clients, and offer a wide range of products or services. It would be impossible to expect everyone to follow the same requirements. For example, an edtech company might focus on access controls for student data, while a financial services company might prioritize data encryption for monetary transactions. What’s true is that SOC 2 uses five Trust Service Criteria , of which only one is mandatory (security controls). When meeting with an auditor, you will discuss your product and assess which criteria you must meet and which ones you’d like to leave out. Remember, SOC 2 isn’t mandatory but rather a business decision that will benefit your company, so it’s up to you to understand your needs and wisely choose which criteria to comply with. five Trust Service Criteria five Trust Service Criteria Don’t Upgrade Just To Please Auditors Don’t Upgrade Just To Please Auditors As someone who has been in the auditing business for decades, I’ve seen it all. One of those things I witness way too often, and which companies should definitely refrain from, is acquiring security tools right before your examination just to please auditors. Whether you keep those tools after completing your report or not, you shouldn’t perceive them as a temporary bandaid to pass a test. SOC 2 takes inventory of practices and processes you already do to provide your clients and potential ones an insight into your security posture. If you were to temporarily use programs like intrusion detection, static code analysis, and other vulnerability management tools just for the audit, you’d be letting down, and even misleading, clients with your SOC 2 report. Ultimately, you can end up harming your company with deceitful practices. Instead, CTOs should be encouraged to sit down with auditors and be as transparent as possible — they’re there to highlight the good work you already do, not point out your weaknesses. If you receive an exception, this means auditors did their job well and provided you with a solution to improve your practices and comply with better data security. If anything, allow audits to be the reason you implement good security practices, enabling your company to land better deals and achieve greater success in the future. Who wouldn’t want that? While we understand the SOC 2 perception shift won’t happen overnight, it’s important to advocate for its renewed approach, easing more companies into it with more confidence and willingness to showcase their security practices. Auditing firms are quickly adapting to the pace of the startup and tech industry, making compliance a streamlined requirement that barely looks like its past self.

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