Zerodha faces a technical glitch, users' order positions are not displayed. The broking firm says the issue is fixed.

Zerodha's technical glitch: Users complain about problems in order positions

As Bengaluru-headquartered, tech-driven investment platforms such as Zerodha and Groww pull in more investors from across India, the city’s share in trading activity, by Kamath’s calculation, should increase. But individual Bengaluru investors ...

For Bengaluru households, it’s real estate over financial investments

Clients of Zerodha's trading platform Kite suggested that the trades were being executed but were not reflecting in the position section.

Zerodha trading platform Kite sees technical issue; Nithin Kamath's co replies

Meant for investors with a longer-term horizon, the Nifty LargeMidcap 250 Index combines 100 Largecaps (represented by the Nifty 100 Index) and 150 Midcaps (represented by the Nifty Midcap 150 Index) in equal proportion.

Era of passive investing begins, says Zerodha after launching 2 mutual fund NFOs

An all-time high of 67,927. Thats where the BSE Sensex went in September 2023. The Nifty also reached the milestone of 20,000 points. This was good enough to engineer an unprecedented surge in systematic investment plans or SIP inflows in mutual funds,

Sipping Away

Ahmedabad: A total of 266 students — 184 from undergraduate and 82 from postgraduate courses — got degrees at the convocation of National Institute of.

NIFT-Gn: 266 get degrees

Trading Platform Groww India's Revenue Crosses 1,000 Cr Milestone - Groww, a stock broking platform based in Bengaluru, has achieved an important milestone by turning

Trading Platform Groww India's Revenue Crosses 1,000 Cr Milestone

Zerodha Fund House announced the launch of its maiden funds. The NFO opened on 20th October 2023 and will be closed on 3rd November 2023.

Zerodha Fund House Launches Its Maiden Funds: NFO To Close Next Week

This was about eight years ago, well before “funding winter” had been coined. Investor money was flowing into India’s startups. As a news manager, I used to scoff at funding announcements of less than $25 million.

Zerodha vs Groww = VC vs bootstrap

Bengaluru-based fintech startup Groww has turned profitable as it registered Rs 1,277 crore in revenue in FY23, a huge 266 per cent surge. The Zerodha rival reported a net profit of Rs 448.7 crore in FY23 against Rs 239 crore in net loss in the previous ...

Fintech firm Groww’s revenue surges 266% in FY23, turns profitable

Groww, India

groww

This is by (source: ). Kuznetsov is the Co-founder and CPO of INXY Payments. Twitter thread Serge Kuznetsov @GrowWithSerge 05-23-2023 https://twitter.com/GrowWithSerge/status/1660965113526976514?embedable=true&thread=true The lead image for this article was generated by HackerNoon's via the prompt "Entrepreneur Success.” AI Image Generator

Naval Ravikant's 10 Entrepreneur Rules for Success

In-App Chat allows Mobile Apps and Websites to improve their User Engagement, and achieve new use-cases. Whether it’s a conversation between – Service Providers and Customers in , Doctors and Patients in , Teachers and Parents in , Advisors and Investors in , Recruiters and Candidates in , Attendees in , or Prospects in , effective Chat feature in the App can be used to empower all! On-demand Services Apps Healthcare Education Finance Apps Jobs Apps Event Apps Dating Through better assistance in conversations and collaboration, In-App Chat also presents an innate opportunity for . Monetization In this article, we’re going to list some innovative ways in which a Chat feature that creates 1-1 or Group Connections between users can generate opportunities for , leading to Revenue Growth for many App-enabled Businesses. Monetization Subscriptions are a popular technique for monetizing Apps. They are a methodology for offering products and benefits to customers with a recurring payment model, thus generating a consistent stream of income. Subscriptions To achieve monetization with Chat through subscriptions, one of the most important methods is . What is RBAC? RBAC provides restrictions on the access of features based on the roles of users. With the help of RBAC, you will be allowed to give access to certain features of Chat, or limit the use of certain features of Chat, to privileged/paid users. RBAC (Role-Based Access Control) In , where Chat is a straightforward requirement for engagement, users can be provided access to features according to their subscription plan. One such possibility could be that users of can exchange Text messages with their prospects, but will be able to access more advanced features like with their prospects. For example: Dating Applications Free Plan paid / premium users Video Calling Dating application , which , operates on a similar line with paid membership required for chatting with other prospects. eHarmony reportedly has an annual revenue of $75 mn This method can be used to create further segments within the users based on their interest to pay, thereby opening more monetization options. Credits Utilization and their utilization is another effective way to generate revenue from Chat in your Apps. Users can pay in advance to buy credits and get access to Chat features while paying from their Credits credits as-they-go. can be associated with the utilization of various chat features, like: Credits deduction Number of Chat Messages sent Number of Contacts messaged Number of Call minutes consumed, etc Such a credit utilization method can be a great addition to many App Types. With this , users will not have to worry about their subscription getting renewed every month without using Premium features. They can purchase credits according to their usage. pay-as-you-use model A good example of such Chat Monetization cases are the or where users connect with . Influencer Networks Online Communities Influencer Members Pay per Conversation Many App Businesses use Chat as an important utility feature. Such App types, where Chats are formal and need-based, and not casual, earn from their customer users paying for each Chat Conversation. Such Apps mostly offer to their users, and some examples of these are: Advisory & Consultation Services where Patients seek online consultation from Doctors. Healthcare Apps where Financial Advisors provide consultation to Investor Users. Financial Services Apps (like ) where Lawyers provide legal advice to customers Legal Marketplaces rocketlawyer.com In all such cases, different fees can be charged from users for different types of conversations (Chat & Calling). , which is a popular healthcare app, charges patients a lesser fee for a consultation with Doctors over text chat, and a higher fee for consultation over a video call. Lybrate Such Apps may also choose for the conversations to remain open for a fixed time-frame, and ask customers to pay again when they need consultation next time. , many doctors provide free follow-ups for a couple of days after the consultation. For example For such app-based businesses to consistently grow their revenue from Chat, it is important to get good consultation or advisory providers on their platform. Customers would come back to their app only if they have benefited from their past interactions. Paid Group Chats Ever heard of , the famous messenger application? In 2015, Telegram launched , a form of messaging where a user can create an open or closed group and only the group admins can post content in that. Telegram Channels These types of and can also be used for generating revenues. While some groups can be kept free to generate engagement, those premium groups which are led by Experts or Influencers, or which are based on Hot Topics can be made Paid. The payment for such groups can also be of a recurring subscription type because of the regular flow of information. Channels Groups One industry where this can be very popular is the An providing financial advisory might have multiple , each led by investment experts or brokers. Users can get connected with over such channels to get expert advice, such as stock market tips. They can subscribe to their channels by paying a certain amount. Groups led by experts having proven strategies can command higher subscription fees. Some apps that are operating on similar lines are and Financial Industry. Example: online marketplace/community groups/channels Finance Experts Groww PickRight. For further monetization, users can make additional payments to get 1-1 consultancy from the experts via Voice or Video Call. Sponsored Messages Most of us would have received or on sometime or the other. While normal users can only message their contacts, advertisers or paid users are able to send targeted sponsored messages, or send InMails to users they’re not connected with. Such sponsored messages may include , or . Sponsored Messages InMails LinkedIn offers promotions sales announcements This strategy to generate revenue can be used by Apps where there is considerable engagement between users via Chat with their connections. According to of revenue, or was generated by in the year 2016 through their Premium subscription model. Most of this was from a combination of services related to User-to-User communication features like sending messages on LinkedIn’s email system (sponsored ) and contacting members outside of their users’ networks. Investopedia , 17% $162 million LinkedIn In-Mails Chat as a Value Add-on feature Many types of apps can benefit greatly from their users communicating with each other. In such cases, Chat complements the core offering of the apps and becomes a value add-on feature that boosts revenue by increasing the repeat purchase rate. Some examples of this are: Chat in : Allowing attendees to network with each other before, during and after events increase the value they get by ordering tickets from such event apps. Event Apps Chat in : and Services marketplaces that allow customers to connect with Sellers and Service Providers via Chat gain trust of customers, and see repeat orders. Also, deal-making becomes faster, so you can see improvement in the speed of revenue coming in. has made it very convenient for passengers to coordinate with drivers via Chat in their Apps, and this feature gets used widely. Marketplaces Ecommerce On-demand Uber Bonus: In-App Advertisement It’s true that there is nothing novel about advertising. After applying all the above techniques, is just like a cherry on the cake. In-App Chat feature empowers brands and to innovatively put their Advertisements in the Chat interface for better awareness and revenue. And as per the research conducted on online shopping patterns of customers, users are more likely to spend after going through a personalized advertisement within a Chat interface, rather than a traditional web advertisement. In-App Advertisement marketers Getting Chat features in your App technologies have grown immensely in the past few years. Top messaging apps like , , and get some of the highest engagement levels, and so customers expect the same experience from Chat features they see in other Apps. Effective, feature-rich Chat also presents technology challenges at both application and infrastructure levels. talks very well about why it makes more sense to Buy or Rent an In-App Chat Solution, than Build one. Chat and real-time communication WhatsApp Facebook Messenger Telegram This article providers like help you hit the ground running with a faster time to market and good ROI. Such platforms provide , Chat SDKs, Pre-built user-interfaces and Webhooks that enable Apps to launch Chat in hours or days, rather than months, with custom work-flows that are seamlessly integrated into other features of your app. Chat-Platform-as-a-Service (CPaaS) Channelize.io Messaging APIs In Conclusion Hope this article has given a good idea of how Chat in your App can open many new opportunities. If there are any ideas for generating revenue with Chat that I’ve missed, please feel free to add in Comments. Previously published at https://blog.channelize.io/monetization-strategies-generate-revenue-using-chat/

6 Techniques to Generate Revenue Using Chat APIs

When thinking about robots and artificial intelligence (AI) most of us will envision the archetypical images of Star Wars legends R2D2 and C3PO or my personal favourite childhood badass the Terminator. While science fiction literature and movies have provided a stage for robots to display their awesome potential, they also often paint a picture of a dystopian world in which robots become self-aware beings, rebelling against and ultimately suppressing mankind. I wouldn’t be surprised if a lot of people are actually quite anxious about robots taking over the world in the future. Luckily this is not the case (yet) and are robots nowadays used for carrying out all kind of routine or complex tasks. Currently, robots can be used to perform various tasks, such as: surgery, accompany the elderly, diffuse bombs, and space exploration. Hence robots can save lives and perform tasks that would otherwise be too complex or too dangerous to perform by humans. In this article I would like to take you on an adventure and take a look at the interesting history of robotics and AI. How to define the term robot There are a lot of different definitions of what a robot is; but perhaps the simplest and most accurate definition is: “ ”. a robot is a machine, especially one programmable by a computer, capable of carrying out a complex series of actions automatically The term “robot” was first coined by the Czech in the play ( ) originated in 1920. is a satirical play about robots manufactured with the sole purpose of performing all unpleasant manual labor. The word was derived from the Czech word , meaning servitude. In 1942, science fiction author formulated the , which are: Karel Čapek R.U.R. Rossum’s Universal Robots R.U.R. robota Isaac Asimov Three Laws of Robotics The first encounters Perhaps the earliest instance of robotics dates as far back as 1500 B.C. During that period the Egyptians developed the so-called water clock. The water clocks measured time as a result of the force water falling through it at a constant rate and used human figurines to strike the hour bells. The oldest example of the water clock, found in the tomb of Amenhotep I, dates as far back as . 1500 B.C. In 350 B.C. the Greek mathematician Archytas invented “The Pigeon”, a mechanical bird that could be propelled into the air via the use of steam. Another well known automation is a humanoid drawn by Leonardo da Vinci dating back to around 1495. Leonardo’s Da Vinci’s drawings was that of a mechanical in armour which was able to sit up, move its head and jaw and wave its arms. knight Da Vinci’s mechanical knight My personal favourite attempt of robotics was the built by Wolfgang von Kempelen, which was basically designed to be a robot that could play a strong game of chess. During the late 18th and 19th century this machine toured all over Europe and defeated many challengers including Napoleon Bonaparte and Benjamin Franklin. Eventually the Mechanical Turk was revealed to be a hoax, with a real human chess master being hidden inside the compartment and operating the machine. Mechanical Turk the Mechanical Turk Chess Engine The first humanoid robot is said to be built in 1810 by Friedrich Kaufmann and represented a soldier blowing on a trumpet. The Kaufmann Trumpeter had leather bellows acting as lungs and reeds which mimicked the sound of a trumpet. For that time, this was quite the spectacle. Advances during the 20th century During World War I remote control weapons were deployed. Most noteworthy it was , who had designed and manufactured an electrical boat that could be controlled remotely via radio signals. Nikola Tesla In 1932 Lilliput was introduced in Japan, which is considered to be the first toy robot. Lilliput was a 15 cm tall wind-up toy that could walk around. In Japan the love for Robots grew and during the 1950’s robots became well-known comic book characters. Perhaps the most iconic one being . Astro Boy Thanks to the advances in programmable computers during the 1940s, the robots as we know them today began to take shape. George Devol would invent , which is considered to be the first industrial robot and one of the most important milestones in the evolution of robotics. Unimate was able to transport die castings and weld them into automobiles and through the hands of Joseph Engelberg (who later acquired the nickname “the father of robotics”) joined the assembly line at the General Motors. Unimate Joseph Engelberg, the father of robotics The 1970s and 1980s were characterized by new advances and gave rise to projects such as: , which was the first general-purpose mobile robot able to reason based on its own actions. Shakey was able to perform tasks, such as: travelling from one location to another, opening doors and pushing obstacles around. The would become the standard regarding the design for future robot arms, and ultimately gave rise to the , the first medical robot to be used in surgery. Puma350’s task was to orient the needle during a brain biopsy, but it was discontinued for safety reasons. Shakey Stanford Arm Puma350 Another big milestone in the history of robotics was the development of the Mars rover . The Mars rover was part of the mission (1997) and was built to perform semi-autonomous operations on Mars’ surface. Equipped with an obstacle avoidance program, the Mars rover was able to plan and navigate routes across the terrain in order to study the surface of the planet. Sojourner Mars Pathfinder Mars rover Sojourner During the same year ’s would go on to be the first computer to defeat a world chess champion (in this case Garry Kasparov) under tournament conditions. Noteworthy is that Google’s AlphaGo defeated world-class GO player Lee Sedol in 2015 ( ), using neural networks and reinforced learning; whereas previously computers were only able to beat amateur Go players. IBM Deep Blue computer AlphaGo versus Lee Sedol The years 2000 till present The last two decades have seen a lot of technology enhancement in the field of robotics and AI and a lot of interesting projects have emerged. Too many to name them all, so I have made a small selection to represent the current advances. , During the aftermath of the attacks, the collapsed buildings were too dangerous and confined for humans or dogs to navigate. The small PackBots (manufactured by iRobot) were used to determine the structural condition of the buildings and search the debris for survivors. PackBots Sept. 11 , In 2000 Honda brought us ASIMO, which was designed to advance the mobility of robots, allowing it to walk smoothly and climb stairs. Newer versions of ASIMO were even able to run, turn, navigate uneven surfaces, map its environment, avoid obstacles, reach for and grasp objects and even recognize faces. ASIMO robot ASIMO playing soccer , Another robot manufactured by iRobot is the Roomba. The Roomba can be considered the first widespread used domestic robot, riding around the house vacuuming the floors, without any instruction or aid from its owner. Roomba , In May 2006, a robot integrated with data from 10,000 real operations conducted an unassisted, 50-minute surgical procedure on a 34-year-old man’s heart. Robot Surgeon , the transportation industry can greatly benefit from technological advancements, such as: urban aerial mobility, drones and self-driving cars; making transportation safer and reducing traffic congestions. Two promising projects I would like to highlight are: and . Hyperloop’s objective is to be the fastest land transportation ever with a projected top speed of 1,080 kilometres per hour. Transportation industry Hyperloop One Pop.up NEXT Design of the Hyperloop.one Pop.up NEXT is a modular vehicle capable of either ground or air transportation. With the wheels activated the vehicle functions as a car; but when the fly-module is attached the vehicle can also function as a helicopter; click for a video. here is modelled after actress and is characterized by a human-like appearance and behavior, which is more advanced than previous robotic entities. Sophia uses artificial intelligence, visual data processing and facial recognition to imitates human gestures and facial expressions and is designed to get smarter over time. Sophia is also capable of engaging in simple conversation and answering various questions. On , Sophia was granted Saudi Arabian citizenship, making her the first robot ever to have a nationality. Although this is pretty cool; it also raises a few questions as whether this implies that Sophia is eligible to vote or marry, or whether a deliberate shutdown of Sophia’s system can be indicated as murder. Very interesting food for thought to say the least. Sophia , Audrey Hepburn 25 October 2017 Say hi to Sophia Kambria, the next evolutionary step? Although the field of robotics and AI is growing, a lot of the knowledge remains siloed, leading to similar projects doing the same research and development. The development of the robotics and AI industry can benefit from more collaboration between developers. aims to disrupt the robotics an AI industry by building an open innovation platform which will accelerate the growth of the industry, enabling faster, cheaper, and easier development and adoption of technologies. Kambria Network Kambria Kambria proposes a blockchain based platform that incentivizes contributors which will fuel the platform through with the help of Kambria Network’s native KAT tokens. Kambria that was initiated by robotics and AI manufacturing company which developed telepresence robot Ohmni. By using 3d printing technology and streamlining an iterative design, OhmniLabs offers an affordable telepresence robot to customers worldwide. While working on Ohmni, the team noticed they were wasting precious time and resources because they were researching things that were already done by other companies or university research labs. OhmniLabs This issue led them to start Kambria. By sharing thoughts, ideas, research, designs and incentivizing those that contribute to the Kambria platform, the industry can become much more efficient, grow faster and reduce overall costs. Five main pillars Kambria Network is comprised of the following : five main pillars - The KDNA codebase: The platform’s foundation is the Kambria codebase or KDNA. The codebase contains all the information, software, firmware, hardware and AI needed to build a robot. - The Manufacturing Alliance (KMA): The codebase will be supported by the manufacturing alliance, which allows people to prototype and manufacture the robots created with the help of the KDNA codebase. - The innovation bounty marketplace: In the innovation marketplace manufacturers can offer robotic parts in exchange for a bounty, or interested parties can launch a crowdfunding campaign that runs on bounty tokens where developers manufacture a robot based on their demands. - Legal Protection: The community will come together to protect the innovation platform in the Proof of Violation (PoV) standard. Besides legal protection, there will also be a fair use policy put in place that consists of terms and conditions for community members. Free-riders will be dealt with in the appropriate way. - Value capture: This feature will use KAT tokens to bring value to the platform so that the longevity can be guaranteed and the project is not dependent on donations. Various value points will be created. For instance, when a robot is manufactured, after the value point occurs the fee will be enforced and the collected KAT tokens will be disbursed to the manufacturer (largest part) and into the community reserve (small part). It will be interesting to see new steps that will be taken in the development of robotics and chances are that the Kambria platform can speed up the next evolutionary step by facilitating cooperation between researcher, developers and manufacturers. Website: Kambria Social Media https://kambria.io/ Whitepaper: https://bit.ly/2y7eckC Telegram (ENG): https://t.me/kambriaofficial Twitter: https://twitter.com/KambriaNetwork Medium: https://medium.com/kambria-network . Disclaimer : This article is not intended as investment advice. It is just my personal opinion about Kambria. You should always do your own research #DYOR. Kambria incentivizes me for writing this article and encourages me to express my own opinions Subscribe to my channels: , and if you enjoy my articles and would like to be informed about blockchain, cryptocurrency and news. You can also read my articles on . Medium Twitter Steemit LinkedIn If you have any questions about this article, please comment in the comment section below. Claps are also welcome, Thank you! CryptoShowdown

The Next Step in the Evolution of Robotics and Artificial Intelligence

When we think about managers, we think about people we know (or knew) who have shaped us. We think about people we either look up to or despise. We think about people who are incompetent, and you could do their job better, or those you are amazed at their time management skills. I’d like to share a few personal stories today on some of my managers and how they have shaped me over the years. There are some good and some bad. There are those who knew what they were doing and those who were thrown in the deep end. Some were leaders, and some were following what they were told. I call this essay “I am a Good Manager”, not because I am a good (I’m not even a manager yet), but because I want to enlighten people on what good and bad management looks like. manager For those of you who don’t know me, I’m a lead engineer with a few companies under my belt. I’ve experienced the ups and downs of the software world. I’m learning about leadership and management every day, and I’m trying my best to stay humble. I’m not saying I know everything there is to know about management or leadership, but I have had some glimpses and insights as to what a good manager looks like to me. software My earliest management experience comes from my dad. He’s one of the people I most respect in the world. He has built a company of family values from the ground up and kept a culture burning within the company that shares in happiness, hard work, and family. What do I mean by family? My dad has kept all his employees close. Most of them have stayed with the business through good and bad times. Most of my family has worked with my dad at some point, and most are still working for him. Even those who aren’t related by blood seem almost like an extended family. Everyone respects my dad and the effort he has done to create the company. But what I most like about my dad, is the management. Now, I’m not an expert in my dad’s management practices. I only worked for him for a few short weeks in between school and university. What I do know, is that he was always friendly with the staff. I never saw him talk down to someone. He could hang out with the labourers as well as with the office staff. Even with me, being a nobody at the company, I saw how his management trickled down. My next manager(s) was one of many. I worked briefly in what I thought would be a dream-come-true job (at the time). I was working at a local cinema. But, it was a somewhat impersonal job. It was not a career. During my time there, I learnt how the real world works. We had some basic training. Work at the till, scoop some ice cream, clean the machines, clean the cinemas, check the tickets. It was a hectic job with lots of downtime between showings. The strongest memory I have of my managers was when I had to deal with misbehaving customers. I stick to the rules. You won’t find me breaking any because my parents brought me up that way. Now, to paint you a picture, the managers at the cinema, usually kept to a small office (unless it was super busy) and let the frontline staff deal with most of the work. So, how does this relate to management? A film had just come out (I forgot which), but it was R16 — which in New Zealand means you have to be 16 or older to see it. No ID, no entry. A father had brought his son along to this film. We are taught to ask for ID. So I did. Now, the father said his son had no ID, but he’s given his son permission to watch it. I said no. That’s illegal. You can go back to the till and ask for a refund. The father started acting aggressively. Why can’t his son see this film? He’d paid for it. It’s his right. Again, I remained calm. No, I insisted. At this point, I got on my walkie-talkie and called for my manager. I didn’t know how to deal with this, so I escalated. My manager did not come to my rescue. They waited at the till and I pointed out to the father that my manager is over there if they want to talk about the rules. The father huffed and puffed but eventually gave in and stormed over to the manager. My point in this story is that the manager was not proactive, but reactive. Sure, if it had gone further, they probably would’ve intervened. But luckily it didn’t. A proactive manager would’ve seen I was like a deer in front of headlights and walked over to offer support. So, I’ve learnt a lesson for my future self, if you see your people in trouble — don’t wait until they call for help — help them as soon as possible. If we skip ahead a few years, I can tell a story more relevant to my current expertise, software engineering. This story left me wounded for some time. I lost my voice, my character, my passion. But, because of my manager at the time, I came out not completely broken. The entire story is a bit of a blur to me. However, I’ll give you the events as I remember them. I was a graduate engineer at the time with a lot of energy. We all know the type. The ones who are fresh out of university and think they know everything. Let me tell you; I didn’t. But I did have a voice, and at my company, even graduates were heard. We, as the development team, had a meeting about some architectural decision. The seniors spoke first and presented their ideas. And here comes my mistake, I interrupted a senior engineer as I couldn’t hold mine in. “Shut the fuck up. It’s my turn to speak.” I was shocked. I shut up and didn’t say a word more in the meeting. No one had ever talked to me that way before. I wasn’t expecting it at work at all. I walked out of the meeting a mute. I’m pretty sure I was almost shaking. My manager was present and pulled me aside. “Alex, that never should’ve happened. I’m sorry.” My heart warmed a little. I didn’t feel so alone in that situation. All I needed was that bit of empathy to put me through the day. I nodded to my manager and went back to work, still feeling utterly destroyed. Later in the day, the senior developer popped around and asked if we could chat. He apologised to me and mentioned that it was nothing to do with me at all, he has just had a bad day. I felt better, but it still took me months to recover my previous voice. The moral of this story is that a manager needs empathy and should be able to feel when something isn’t right. A good manager needs to help facilitate the healing when something is broken, but they should also know the right time to talk to people. The next experience I want to talk about is how not to treat your employees. Again, a different company and a different time. If the following is your management style, please stop what you’re doing. I can tell you what happens in the end. No one is happy. So, I was in a well-established team. We were working fast on our product and producing new features all the time. There was never any word from above that things were moving slow or that there were problems. There was just one small thing — mobile. The company had decided that mobile was the way forward and wanted to move to the mobile web as soon as possible. Can you guess what happened to my team? “Tomorrow, you’ll be working with team B and C together on the mobile website. DROP EVERYTHING YOU’RE DOING.” The company was not a “startup”, but a company that had been around for a few years and had almost 1000 employees. As a developer, I can tell you that being told to drop everything you’re doing and start working with people you’ve never worked with is not great. Plans like this shouldn’t be kept from the team that you’re managing. You should have transparency. Even our team leads didn’t know! With such drastic changes, you lose the trust of your team. How can they trust anything promises you make when you could at any point do a complete 360? For me, as a developer, I was shocked at first, but then I’m a pretty calm person, so it didn’t completely rock me. Other members of my team had heated discussions with management and each other. Why would they do this to us? It caused complete chaos, and I’m not sure if we moved faster to mobile because of it. It was a harsh lesson learned for management, and I think they lost a lot of respect from the move. Later on, they admitted it was a mistake, but I guess it was too little too late. You’d have thought that they would learn from this, right? Just before I left that company, my team was disbanded and scattered to other teams in the business. Management gave them a couple of weeks notice. Why the move? Because they wanted to move the development of that product to another office. Again, there was no transparency from management and communication was pretty poor. Transparency is important. People like to know what’s going to happen in a couple of months. They don’t like surprises. Especially when it comes to your job. That’s a skill that I now know I need to have. Communicate early and often. Managers need to be able to train their staff. They need to be a mentor as well as a manager. Your power as a manager comes from how your team (or teams) perform. This next story is how I felt disconnected from my manager and in turn, the company. I’m ambitious. I’m not going to lie. I will tell you day one where I want to be in your company and ask how to get there. I know not everyone likes ambitious people. They may feel insecure, or you may have ruffled their feathers. I don’t know. In a company that I’ve worked for, I told my manager during the interview and during our one-on-ones that I want to be a manager. I set my goals high and asked for guidance on how to get there because I had no idea on what I needed to do to make that jump. In the second one-on-one, I pushed my manager. How can I make the jump to become a manager? What do I need to do? “Are you looking for a pay rise or do you really (emphasis on really) want to become a manager?” That was like a punch in the gut for me. I felt like a balloon that had just deflated. My manager is questioning my motives. I had previously told him that in my last company I found leading a team a refreshing change from development and that I’d like to move more in that direction. Being a mentor means that you should support your employees’ lofty goals and let them know what they need to do to reach that within the confines of your company’s development framework. When you question your employee’s motives, they will feel disconnected as I did. We’re supposed to build trust during one-on-ones, and it is so easy to break. I felt like my manager was not a mentor to me then and it was clear that he probably wouldn’t push me towards my goals. “I really want to be a manager. I don’t need a pay rise.” Over the next year, I persisted with my goal. “What can I do to get there?” I would ask him. Vague responses returned. “Lead your team more.” I realised then that I probably wouldn’t reach my goal at this company. My manager was not a mentor to me. Don’t be that guy/gal. Listen to what your employee needs or wants and help them get there. If you don’t know, then ask someone who does. To be a good manager doesn’t mean you need to be perfect. You’re human; no one expects you to be. But you do need to be there for your employees. They’re human too; not just resources ready to be used. Be friendly and kind. Don’t just sit and wait for a fire to happen. Be proactive and prevent the fires in the first place. When you see someone struggling, go and ask if they need help. Ask what you can do for them. Don’t wait until they come to you with problems. Have a little empathy. When you see or hear about a bad/toxic situation, please see if there’s anything you can do or say. Sometimes just listening helps. But don’t try to step in the middle — you might lose trust from both sides. Be transparent and open with your communication. Communicate your decisions as early as possible, especially big decisions that affect someone’s job. People need time to prepare, and as long as your decision is well thought out and justified, we will understand. Lastly, be a mentor. Help your employees reach their potential. It’ll pay you back ten-fold and the company. You want to hire and keep stars. You want people who want to grow. It’s not an easy job to manage people. Everyone has different expectations of what a manager should or should not be. Every company has different expectations for managers. Be a people-first manager. I think you’ll find your team will shine. Originally published at www.alexaitken.nz on September 3, 2018.

I am a Good Manager

Replacing Paper Contracts? Photo by on Christa Dodoo Unsplash When we talk about smart contracts, the first thing that comes to our mind would usually be (ETH) — to put it bluntly, the mother of all smart contracts. Well, that statement may be a little misleading, but I would argue that Ethereum was the first project which drew public attention to smart contracts implementation. It was made possible due to the design of a infrastructure. And just in case you might not know what Ethereum is, it is a decentralised platform for running smart contracts. Ethereum blockchain https://www.ethereum.org/ So what exactly is a Smart Contract? A smart contract is a program which contains a set of commitments, including how the contract participants shall fulfil these commitments. It executes across multiple computers so that the computers can have a consensus on the computation which enforces the validity of the contract — and is widely used in Ethereum. Today, mainstream smart contract adoption includes , , and whereas more widespread applications of smart contracts are still in its early stages of development. ICOs Multisig transactions Cryptokitties , On Ethereum specifically, every smart contract that is deployed runs on every in the Ethereum blockchain. Whenever a user wants to call a smart contract, that smart contract gets activated on each of the full node across the entire Ethereum network. This has resulted in scalability issues, which is somewhat recognised as the key technical challenge that needs to be solved in order for blockchain applications to reach mass adoption. The , while other enterprises/organisations have ventured into creating their own blockchains, seeking to address the scalability issues. full node Ethereum community has since been diving into new technical implementations Before we dive into exploring other newer blockchains which feature smart contracts, it is interesting to note that — the term was coined and explored with 10 years before Bitcoin’s existence. However, the term and its appliances have only recently been further explored. Ethereum’s platform has allowed developers to build DApps (Decentralised Apps) on its blockchain, that is defined by smart contracts. The immutability and cryptographic security features on the blockchain keep these contracts secure. smart contracts are not totally new Having a middle ground to store smart contracts removes the need for an intermediary party, as conditions within the contracts can be now developed and enforced on the platform itself. A simple example would be a buy-sell agreement — the moment the buyer makes payment to a seller, the contract enforces the item to be released from the seller to the buyer. The Evolution of Smart Contracts Since Ethereum, the potential of implementing smart contracts has continued to be explored. Other communities and enterprises have also started looking into more specific ways in which smart contracts can be adopted. Public Smart Contracts So far, the use of public smart contracts has been limited. As mentioned above, token sales, multisig transactions and cryptokitties are the main areas in which we have seen smart contracts being deployed on the public chain. However, in regard to these implementations have arisen since. . . . The case of the Cryptokitties alone has made the entire Ethereum blockchain seem unreliable, where scalability issues have been commonly brought up. problems Ponzi scheme ICOs Multisig wallets being hacked Scalability issues on the Ethereum blockchain last December with the launch of Cryptokitties Newer (than Ethereum) startups like have since launched into trying to provide a ‘better’ consensus protocol; it boasts that it is able to process thousands of transactions per second, and writing smart contracts in more commonly used programming languages like Golang, Python etc., compared to Ethereum’s Solidity limitations. Tendermint (Tendermint itself is another whole virtual realm of services & products that we can discuss in another article) Enterprise Smart Contracts Large enterprises like , , , , , and many others that I may have missed have also ventured into providing consultation services and building blockchains in a number of industries ( , etc.)to build smart contracts on. Microsoft IBM JPMorgan SAP Consensys private / consortium logistics financial institutions This is with the intention that smart contracts need not necessarily be deployed in an entire public blockchain for the world to see. Participating parties of the smart contract can simply spin off full nodes of the smart contract within a consortium blockchain to enforce these smart contracts — keeping the details of the contract private. Other methods also include leveraging on to protect details of the smart contract and linking it to the Ethereum (public) blockchain. c_ryplets_ Other DApps-chains Disclaimer: The segment below highlights a few DApps-chains, but the number of existing blockchains which allows decentralised applications to be built is non-exhaustive. Also, in no way am I trying to promote these cryptocurrencies below. The number of public blockchains which features DApps (decentralised apps) has also surged tremendously. Relatively newer platforms such as Enigma (ENG), EOS (EOS), ICON (ICX), and NEO (NEO & GAS), have different goals on what they aim to empower the world with. (or not so new anymore) where the team is building a blockchain which provides ‘ ’ — due to the fact that data (inclusive of smart contracts) on the public blockchain is public. Secret contracts deployed on Enigma would remain private. Enigma , secret contracts (aka. Ethereum on Steroids), focuses on Ethereum flaws to build a ‘better blockchain’ as they claim to provide better technical capabilities compared to Ethereum. One of the main technical capabilities being addressed is the number of transactions per second (TPS), which has been a well-known issue both and Ethereum has been facing while scaling. EOS Bitcoin , or the ICON Foundation, which seeks to provide a network in which multiple independent blockchains can be built on the ICON blockchain with DApps, and be able to communicate with one another. ICON (within the ICON Republic) , the eldest of the four, has the deepest relations in China, a key player in innovative technology. It’s preparing itself for the , and places a huge emphasis on staying regulatory compliant. Here is a list of existing available currently. NEO smart economy NEO + NEP-5 tokens The Future? From this alone, we can clearly see that many parties are figuring out on the best way to leverage on the blockchain infrastructure to shape the next phase of technology. It is clear that smart contract adoption will only continue to grow for now, as more and more parties are seeking on ways in which smart contracts can be better utilised. We should, however, remain vigilant on the potential . could very much be one of the first few who has taken a big leap in creating a . Despite that, it is essential to keep in mind that security audits and vulnerability discovery on smart contracts are still in its infant stages. dangers of relying on smart contracts Quantstamp smart contract security-auditing protocol

The Evolution of Smart Contracts

-> Source As the breadth of new subculture segments increases, to these communities is becoming harder to scale. marketing Who remembers these movies? North Shore, where a lonely Arizonan breaks into the radical pro surfing culture on Oahu. Rad, where a persistent BMX rider is determined to take on the Helltrack despite many obstacles. Donnie Brasco, where an undercover agent infiltrates the mafia. These movies all provide a realistic analogy of the inclusive exclusivity of micro-cultures. If we go back 60 years, our marketing segments were much more homogenized and binary, in the sense of cool|not-cool, athlete|nerd, pretty|average, good|evil, smoker|non-smoker, clean|dirty, homemaker|breadwinner, man|woman, sweater|jacket, ketchup|mustard, red|menthol. These more binary social/cultural constructions also led to easier segmentation of customers into larger ‘buckets.’ Marginal interest groups were marketed to on back pages and local newsprint at best. Sexist Alcoa Aluminum ad Internet culture has changed everything. We’re seeing thousands of micro-communities emerge as positive, creative and inclusive respites for a new tide of special interests. This is creating an incredible breadth of community content to market against. As their breadth continues to increase, micro-cultures also remain nuanced and exclusive, creating new challenges for marketers. In his 1996 book , Professor Robert Shields and some of his contemporaries explored the ideas of Internet sub-cultures very early on. 19 years ago Professor Shields wrote: Cultures of the Internet: Virtual Spaces, Real Histories, Living Bodies New discursive norms are being invented and disseminated on the Internet and from there ‘infect’ the design, layout and textual strategies of advertising, literary works and research reports.[…]It is essential to treat computer-mediated communication as a process involving differentiated ‘bodies.’ The tendency has been to treat all users as alike according to a stereotype of young, socially inept and thus culturally marginalized male ‘computer addicts.’ Professor Shields’ notes underscore the importance of this rapidly growing space of Internet culture and the general misunderstanding of it’s cultural phenomena, which have taken on great importance in the consciousness of young people. These new communities are not unlike the punk music, skateboarding and surfing communities of the 80s and 90s. Marketers have always required an authentic connection to touch and influence these groups. Any communications that were outside of what the community considered authentic would be quickly deflected and/or ostracized. Consider the success of Reddit and it’s hyper-moderated list groups. These function in just the same way. With new micro-cultures emerging around interests like pizza, cats, memes, yoga, crossfit, footwear, crafts, wellness, normcore, fit goth, seapunk, furries, otherkin, survival, webcams, fan fiction, and many more, marginalized obscurity is the new ‘normal.’ Few people talk about why the majority of online companies, particularly e-commerce and non-platform SaaS, are so hard to scale. Many have raised $100M dollars, yet struggle to turn a profit as online customers are harder to find, isolate and impress. It is becoming more difficult for our online ad units to create an authentic connection with viewers because their online interests are becoming hyper-nuanced and continually informed by a new real-time culture, i.e. a finitely engaged and fundamentally distracted Internet culture. Cultural fragmentation away from the status quo continues at an accelerated pace. E-pollution is out of control. And so, we take this rapidly expanding Internet culture space, with all of its nuance, breadth and complexity, and we layer on top of it the most vile, often unmentioned cancer on the web: Bots. According to a study by Incapsula, . According to the Wall Street Journal, over . This is scary stuff and applicable to every class of online ad: video, search, affiliate, streaming, display. During my time building data warehouses and analytics products, I can say that these reports are completely consistent with what I’ve seen in the real world. over 50% of current web traffic could be different forms of fraudulent ‘bot’ traffic 30% of our paid advertising clicks could also be from fraudulent bots Authenticity as the only currency moving forward. With all of the cultural fragmentation and low-quality traffic, we have to take a much closer look at brand narrative and content. How do we speak to all of these micro-cultures instead of just describing them as attributes in a database of millions? Authenticity of brand communication and narrative has never been more important. Sincere connection will be the future currency of marketing products online. [ ] Tweet this The allure of web-scale often distracts our brands from a truly unique identity and narrative. Even more troubling for marketers, we find that micro-community influencers like , , , , , , , , , and have become the new narrators of ‘cool.’ It is becoming much more difficult for brands to compete with content that commodifies brands and champions unique community-driven narratives. Adam Gallagher Veronica Belmont Gregory Han Justine Ezarik Christian Kimber Annaka Linowska Abdulqadir Johnie Gall Karl-Edwin Guerre Tom Emrich Authenticity is not the same as personalization. Knowing if I’m male or female, or knowing that my zip code is 90254, is not the same as marketing to my . Cultural connection requires authenticity and knowledge of a nuanced complexity of language, semantics, tone and color. Often this is ‘tribal’ information, changing organically with the community. culture A great example of authentic micro-culture marketing with larger mass influence is . , Founder and Creative Director explains, “Poler is meant to inspire people to reconnect with the outdoors in simple everyday ways that are meaningful to them. Because of this, we’ve seen great support across different culture segments like outdoor exploration, hiking, car camping, skateboarding, snowboarding, surfing and dirtbiking. Also, because of our unique content and storytelling, Poler has really been embraced by a spectrum of influencers, artists and content creators.” Poler Outdoor Stuff Benji Wagner Poler Outdoor Stuff, Portland, OR flagship display The wider the scope of our online marketing programs, the more our content needs to be customized to meet the cultural expectations of each visitor. This goes far beyond just contextual and personalized customization. This will be the big challenge for brands in the next decade. The future may dictate that each new customer segment require an entirely new narrative and marketing strategy. Some of our tech-focused CRM companies are just scratching the surface of this new reality, companies like , , , , . SailThru Retention Science Afinity Custora RichRelevance The honesty of scale. In order to grow sustainably, we need to be honest about the potential scale of our products. For example, e-commerce brands sometimes confuse themselves with platforms, anticipating unrealistic organic growth. Some of our products seem to sell themselves, either from brilliant design execution or broad platform dynamics. The last decade has clearly shown us that content communities and platforms matter. If a company can combine revenue generation with platform dynamics, the possibilities are great. In this case, micro-communities can adopt, self-select and enforce their cultures on each platform while driving incremental revenue in specialized segments. We have seen this with companies like Slack, VBulletin, IFTTT, Salesforce, Heroku, Shopify, Magento, Pinterest and more. The reality of Internet marketing for a non-platform product is brutal. If we are paying $1 per click for qualified traffic and 2% of our new visitors make a purchase, that means it costs us $100 per hundred people and we get two purchasers. If we sell our product for $40, we might make $15 in ( ). So we’ve made $30 for our two purchases and spent $100, which leaves us with a . Let’s say our LTV is $120 (or three purchases), that would be six purchases across the lifetime of our two new customers, which would result in $90 in gross margin. We still end up with a over the lifetime of these new customers for our $100 spent on clicks. gross margin link to great slide deck $70 loss $10 loss Because our current content production model cannot keep up with the pace of micro-community growth, it might cost $100,000 of these ads to find $10k of sustainably reproducible traffic. Need more scale, $10M to find $1M of reproducible traffic, and so on. “Micro-testing campaigns with authentic content is so important,” says Dirk McGregor, VP of Customer Acquisition at Regent Equity Partners, whose portfolio companies generate over $300M in revenue. “I think what we’re seeing on the larger market are companies scaling too wide with their standard ad campaigns from day one. They sadly end up losing a substantial piece of that investment without first considering the rising tide of low-quality traffic on today’s networks. Without a disciplined approach, it’s tough to find the quick scale people often expect.” How do we scale in this new era? Given our new reality, we not only need to focus on authentic content and narrative, but we also need to limit our financial risk when testing new audiences. While more traditional growth initiatives like email marketing, affiliate marketing, physical events, and traditional lead-generation have a much lower risk profile, they do not scale as quickly as display advertising (which is growing to include internet radio, video and various new social ad units). Just like using , we can also apply these core ideas to scale our marketing initiatives. We want to reduce our risk profile, or batch size, as much as possible in order to test our hypotheses, i.e. spend less, learn more. We can achieve this with disciplined hypothesis testing for new audience segments. Lean methodologies for product development Something like this is a good start: Construct our new audience hypothesis, i.e. develop narrative, content, ads and communication strategy for our new audience. Micro-test our hypothesis, i.e. run ads, emails, social. Include A/B/C/D testing wherever possible. Set a tight limit to our initial spend. Review our data. Clean our traffic sources, i.e. block fraudulent and/or non-performing sources. Adjust our strategy. Repeat. Programmatic buying can provide efficient, larger scale. If we take the Lean approach, we increase our chances for success and remove a large amount of waste/risk from our advertising machine. If we can combine this methodology with real tech and significant resources for , content production and targeting across large ad networks, we have a much better chance for sustainable scale. When we talk about this, we are saying that we can automate our audience segment testing and analysis, including partial automation of content production. Obviously this is no small task. programmatic buying Many search companies have proven this model, companies like Culture Machine, TubeMogul, 26.2 Media Agency, Dex Media, CampusExplorer, YP.com, Rubicon, [ more research on this, these are probably no longer relevant… ] Content production must adapt to a large number of customer segments. As we successfully test our audience segments and develop new narratives, authentic content production will become a large cost center. We see companies like , , , , and creating efficiencies in the content lifecycle. Can we merge cultural understanding with authentic content production at scale? Tongal Kapost Marketo Infusionsoft Hubspot Enter the ‘Culture Manager.’ As a general rule, founding level employees build the first culture narrative for a product or service. What about the next audience segment? What if there are 1,000s of these audience segments? It’s a scary idea that as conversion rates drop and Internet pollution increases by orders of magnitude, we might need experts for each micro-culture to create a narrative effective enough to break through the noise. Who is this person? Is this a new position entirely? I think it might be. This person is almost an Internet anthropologist, in charge of understanding several important micro-cultures. Jason Provisor, Head of Marketing Strategy at , expands on this idea: “Many of the companies we work with are too close to their own brands. It’s the age of the consumer. You no longer tell, you ask. At Tongal we’ve built a platform that crowdsources insights from within important micro-cultures to drive marketing content production. It’s no longer about creating ads, but creating narratives that resonate with each community.” Tongal Our primary paradigm in the ‘lean startup’ era is to just follow the data; test everything, measure everything and respond to the data. Unfortunately this is not going to help much if our marketers or product developers are completely detached from the micro-cultures they are meant to serve. If we use the example of the skateboarding and surfing communities, imagine a fresh Ivy League MBA who grew up playing competitive chess and doubles badminton trying to ‘learn’ his way into marketing to these communities, it would be a massacre. Open our coats and compress our learnings. Much of what we’re seeing is the confluence of a new breadth of Internet micro-cultures and the new reality of Internet ad performance. In many ways, we have been collectively floating down a widening river into a vast ocean of marketing inefficiencies, a black hole of phantom clicks and ad narrative lost in translation. Surely there is no single formula to combat our new reality. Risk mitigation is generally my number one priority. While it’s easy and fun to spend VC money and corporate display budgets on underperforming ads, . An honest and introspective approach to building new products and authentic culture narratives, together with lean testing of new audience segments will be essential in the coming years. perhaps that’s more a sign of the times than a long-term strategy

Marketing To New Micro-Cultures Difficult As Web Grows

**TALLINN, Estonia, November 20th, 2024/Chainwire/--**Following its global unveiling on the main stage of Binance’s Blockchain Week  conference in Dubai, AI platform bitGPT is experiencing sizable growth across every vertical of the project, from active partnership conversations to the number of users currently testing its technology. bitGPT’s X and Telegram communities grew in size by more than 1,000% in the days following its presentation at Binance in which hundreds of onlookers watched as its AI platform was launched and tested for the first time in front of a public audience. The demonstration replay surpassed a quarter-million views on Binance’s website within hours of being posted – the most popular replay event of the conference. bitGPT’s live demo and subsequent growth have been covered by several major new outlets, including reporting from Decrypt that predicted bitGPT’s AI platform “will help onboard the next billion Web3 users and kickstart the AI Agent economy.” https://youtu.be/Lm8hI_ZuiI8 https://www.youtube.com/embed/Lm8hI_ZuiI8 Backed by former SingularityNET co-founders and a growing team of AI and Web3 experts, bitGPT bridges the mass acceleration and adoption of generative AI technologies with the entire crypto ecosystem, providing users – both humans and AI agents – with a unified UX to connect and transact across any decentralized network or service using natural language commands. Available in more than 25 languages, its platform overcomes language, literacy, and interface barriers in what appears to be the Web3 industry’s most legitimate effort yet to onboard its first billion Web3 users, all while positioning the platform as a central node for kickstarting the AI Agent economy. Developed in stealth for more than two years, bitGPT’s AI platform has already been tested by a wide audience, with a growing community of dedicated users generating valuable data and insights that have been continually used to refine and expand the capabilities of its model. After advancing from Alpha to Beta earlier this year, bitGPT is preparing for full launch just as interest and attention for AI-enabled Web3 technologies take off. Despite achieving rapid significant adoption, centralized AI model providers present critical challenges, including data privacy risks, restricted accessibility, systemic vulnerabilities, and the emergence of techno-feudalism due to reliance on dominant third-party entities. This centralization compromises user autonomy, undermines digital sovereignty, and fosters a dependency cycle that stifles innovation and equitable access. A growing ecosystem of crypto projects including NEAR Protocol, bittensor, and The Graph have entered the space to introduce Web3’s privacy and security benefits to the ever-growing AI category. Yet usability and adoption challenges continue to limit the industry’s long-term potential. And many of these networks and services still do not connect directly with the end user, meaning users may fail to realize the security and privacy benefits of decentralized options. bitGPT’s breakthrough platform brings to reality the potential for an on-chain economy with its first billion human users, plus billions upon billions of AI Agents. Its platform goes beyond conventional interfaces, offering an intuitive, AI-driven ecosystem for all Web3 activities. By seamlessly integrating cutting-edge technologies with user-centric design, bitGPT provides an unparalleled suite of intelligent tools that simplify and enhance every aspect of blockchain engagement. With bitGPT, users can instantly connect with and transact across any network or service, creating a universally interoperable user experience. Use cases are truly endless, including: Cross-chain Swap Optimization — AI algorithms analyze liquidity across multiple DEXs and chains to find the most efficient swap routes.
Gas Fee Prediction — Machine learning models forecast gas prices, allowing users to optimize transaction timing.
Sentiment Analysis — Real-time analysis of social media, news, and on-chain data to gauge market sentiment.
Trend Prediction — Advanced machine learning models for short and medium-term price trend forecasting.
Alpha Discovery — Identification of potential high-growth opportunities based on on-chain metrics and market data.
Proposal Summarization — AI-generated summaries of complex governance proposals.
Voting Recommendations — Personalized suggestions based on user's previous voting patterns and stated preferences.
Impact Assessment — AI-driven analysis of potential outcomes for different chain governance voting scenarios.
24/7 Market Monitoring — Agents track user-specified metrics and events across multiple chains and platforms. Users can set specific criteria for alerts and research focus.
External Data Integration — Agents can access and analyze data from approved external sources for comprehensive research. In the spirit of Web3 technologies and the wider universe of decentralized networks and services, bitGPT enables the mass transition away from Large Language Models (LLMs) to privacy-preserving Small Language Models (SLMs), ensuring user data protection without compromising functionality. bitGPT allows for on-device AI processing – significantly enhancing security and reducing latency for a seamless user experience – and AI-powered cross-chain operations and market analysis, enabling users to navigate the multi-chain landscape with unprecedented ease. The platform is capable of hosting a virtually unlimited number of AI Agents that can perform any on-chain task automatically and autonomously, adding significant demand for nearly every decentralized project while fueling innovation across the entire crypto universe. After its successful unveiling on the main stage of Binance’s Blockchain Week conference – a demonstration that was followed immediately by Binance founder Changpeng Zhao – the bitGPT team is now focused on organizing its final Beta releases before full launch, including a fully featured mobile app, with a growing list of enterprise and Web3 partners positioned to assist its launch. About bitGPT Backed by a strong team of Web3 and AI industry leaders — including the cofounders of several major crypto projects like SingularityNET — bitGPT represents a revolutionary transformation in blockchain interaction, redefining the user experience through advanced artificial intelligence. Its platform goes beyond conventional interfaces, offering an intuitive, AI-driven ecosystem for all Web3 activities. By seamlessly integrating cutting-edge technology with user-centric design, bitGPT provides an unparalleled suite of intelligent tools that simplify and enhance every aspect of blockchain engagement. The result is an AI-driven platform capable of onboarding the next billion Web3 users as well as kickstarting the AI Agent economy. Learn more — www.BitGPT.network Join the BitGPT community: Telegram Discord X Contact bitGPT info@bitgpt.network This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here **TALLINN, Estonia, November 20th, 2024/Chainwire/--**Following its global unveiling on the main stage of Binance’s Blockchain Week  conference in Dubai, AI platform bitGPT is experiencing sizable growth across every vertical of the project, from active partnership conversations to the number of users currently testing its technology. bitGPT’s X and Telegram communities grew in size by more than 1,000% in the days following its presentation at Binance in which hundreds of onlookers watched as its AI platform was launched and tested for the first time in front of a public audience. X X Telegram Telegram The demonstration replay surpassed a quarter-million views on Binance’s website within hours of being posted – the most popular replay event of the conference. replay replay bitGPT’s live demo and subsequent growth have been covered by several major new outlets, including reporting from Decrypt that predicted bitGPT’s AI platform “will help onboard the next billion Web3 users and kickstart the AI Agent economy.” Decrypt Decrypt https://youtu.be/Lm8hI_ZuiI8 https://youtu.be/Lm8hI_ZuiI8 https://youtu.be/Lm8hI_ZuiI8 https://www.youtube.com/embed/Lm8hI_ZuiI8 https://www.youtube.com/embed/Lm8hI_ZuiI8 https://www.youtube.com/embed/Lm8hI_ZuiI8 Backed by former SingularityNET co-founders and a growing team of AI and Web3 experts, bitGPT bridges the mass acceleration and adoption of generative AI technologies with the entire crypto ecosystem, providing users – both humans and AI agents – with a unified UX to connect and transact across any decentralized network or service using natural language commands. SingularityNET SingularityNET Available in more than 25 languages, its platform overcomes language, literacy, and interface barriers in what appears to be the Web3 industry’s most legitimate effort yet to onboard its first billion Web3 users, all while positioning the platform as a central node for kickstarting the AI Agent economy. Developed in stealth for more than two years, bitGPT’s AI platform has already been tested by a wide audience, with a growing community of dedicated users generating valuable data and insights that have been continually used to refine and expand the capabilities of its model. After advancing from Alpha to Beta earlier this year, bitGPT is preparing for full launch just as interest and attention for AI-enabled Web3 technologies take off. Despite achieving rapid significant adoption, centralized AI model providers present critical challenges, including data privacy risks, restricted accessibility, systemic vulnerabilities, and the emergence of techno-feudalism due to reliance on dominant third-party entities. This centralization compromises user autonomy, undermines digital sovereignty, and fosters a dependency cycle that stifles innovation and equitable access. A growing ecosystem of crypto projects including NEAR Protocol, bittensor, and The Graph have entered the space to introduce Web3’s privacy and security benefits to the ever-growing AI category. Yet usability and adoption challenges continue to limit the industry’s long-term potential. And many of these networks and services still do not connect directly with the end user, meaning users may fail to realize the security and privacy benefits of decentralized options. bitGPT’s breakthrough platform brings to reality the potential for an on-chain economy with its first billion human users, plus billions upon billions of AI Agents. Its platform goes beyond conventional interfaces, offering an intuitive, AI-driven ecosystem for all Web3 activities. By seamlessly integrating cutting-edge technologies with user-centric design, bitGPT provides an unparalleled suite of intelligent tools that simplify and enhance every aspect of blockchain engagement. With bitGPT, users can instantly connect with and transact across any network or service, creating a universally interoperable user experience. Use cases are truly endless, including: Cross-chain Swap Optimization — AI algorithms analyze liquidity across multiple DEXs and chains to find the most efficient swap routes. Gas Fee Prediction — Machine learning models forecast gas prices, allowing users to optimize transaction timing. Sentiment Analysis — Real-time analysis of social media, news, and on-chain data to gauge market sentiment. Trend Prediction — Advanced machine learning models for short and medium-term price trend forecasting. Alpha Discovery — Identification of potential high-growth opportunities based on on-chain metrics and market data. Proposal Summarization — AI-generated summaries of complex governance proposals. Voting Recommendations — Personalized suggestions based on user's previous voting patterns and stated preferences. Impact Assessment — AI-driven analysis of potential outcomes for different chain governance voting scenarios. 24/7 Market Monitoring — Agents track user-specified metrics and events across multiple chains and platforms. Users can set specific criteria for alerts and research focus. External Data Integration — Agents can access and analyze data from approved external sources for comprehensive research. Cross-chain Swap Optimization — AI algorithms analyze liquidity across multiple DEXs and chains to find the most efficient swap routes. Gas Fee Prediction — Machine learning models forecast gas prices, allowing users to optimize transaction timing. Sentiment Analysis — Real-time analysis of social media, news, and on-chain data to gauge market sentiment. Trend Prediction — Advanced machine learning models for short and medium-term price trend forecasting. Alpha Discovery — Identification of potential high-growth opportunities based on on-chain metrics and market data. Proposal Summarization — AI-generated summaries of complex governance proposals. Voting Recommendations — Personalized suggestions based on user's previous voting patterns and stated preferences. Impact Assessment — AI-driven analysis of potential outcomes for different chain governance voting scenarios. 24/7 Market Monitoring — Agents track user-specified metrics and events across multiple chains and platforms. Users can set specific criteria for alerts and research focus. External Data Integration — Agents can access and analyze data from approved external sources for comprehensive research. In the spirit of Web3 technologies and the wider universe of decentralized networks and services, bitGPT enables the mass transition away from Large Language Models (LLMs) to privacy-preserving Small Language Models (SLMs), ensuring user data protection without compromising functionality. bitGPT allows for on-device AI processing – significantly enhancing security and reducing latency for a seamless user experience – and AI-powered cross-chain operations and market analysis, enabling users to navigate the multi-chain landscape with unprecedented ease. The platform is capable of hosting a virtually unlimited number of AI Agents that can perform any on-chain task automatically and autonomously, adding significant demand for nearly every decentralized project while fueling innovation across the entire crypto universe. After its successful unveiling on the main stage of Binance’s Blockchain Week conference – a demonstration that was followed immediately by Binance founder Changpeng Zhao – the bitGPT team is now focused on organizing its final Beta releases before full launch, including a fully featured mobile app, with a growing list of enterprise and Web3 partners positioned to assist its launch. About bitGPT Backed by a strong team of Web3 and AI industry leaders — including the cofounders of several major crypto projects like SingularityNET — bitGPT represents a revolutionary transformation in blockchain interaction, redefining the user experience through advanced artificial intelligence. Its platform goes beyond conventional interfaces, offering an intuitive, AI-driven ecosystem for all Web3 activities. bitGPT bitGPT By seamlessly integrating cutting-edge technology with user-centric design, bitGPT provides an unparalleled suite of intelligent tools that simplify and enhance every aspect of blockchain engagement. The result is an AI-driven platform capable of onboarding the next billion Web3 users as well as kickstarting the AI Agent economy. Learn more — www.BitGPT.network www.BitGPT.network www.BitGPT.network Join the BitGPT community: Telegram Telegram Discord Discord X X Contact bitGPT info@bitgpt.network This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

AI Platform bitGPT Experiences Significant Growth Following Binance Demonstration

AI platforma bitGPT doživljava značajan rast nakon Binance demonstracije

La plataforma de inteligencia artificial bitGPT experimenta un crecimiento significativo tras la demostración de Binance

پلتفرم هوش مصنوعی bitGPT پس از نمایش بایننس، رشد قابل توجهی را تجربه می کند

Platfòm AI bitGPT fè eksperyans yon kwasans enpòtan apre demonstrasyon Binance

AIプラットフォームbitGPT、Binanceのデモンストレーション後に大幅な成長を記録

AI პლატფორმა bitGPT განიცდის მნიშვნელოვან ზრდას Binance-ის დემონსტრირების შემდეგ

AI platforma bitGPT patyrė reikšmingą augimą po „Binance“ demonstravimo

AI платформ bitGPT нь Binance-ийн үзүүлбэрийн дараа мэдэгдэхүйц өсөлттэй байна

د AI پلیټ فارم bitGPT د بائنانس مظاهرې وروسته د پام وړ وده تجربه کوي

AI Platform bitGPT Zvakaitika Kukura Kwakakosha Kutevera Binance Kuratidzira

แพลตฟอร์ม AI bitGPT ประสบการเติบโตอย่างมีนัยสำคัญหลังการสาธิตของ Binance

AI platformasi bitGPT Binance namoyishidan keyin sezilarli o'sishni boshdan kechirmoqda

The DePIN sector is experiencing a surge, drawing attention as more people recognize its potential in reshaping the digital landscape. Recently, a viral poll, conducted by CoinList, asked users, “What category of projects do you want to see most on CoinList?” DePIN emerged as the top choice, a testament to its rising prominence. Following this, U2U Network - a DePIN-focused Layer 1, announced a collaboration with CoinList for an exclusive incentivized mainnet campaign. This means U2U Network is the first DePIN project to launch a growth campaign on CoinList in Q4 2024. DePIN - Beyond a Passing Trend DePIN (Decentralized Physical Infrastructure Network) stands out as one of today’s promising technologies, challenging the skepticism often directed at the blockchain industry. Unlike fleeting trends, DePIN aims to represent a foundational shift in managing infrastructure. By decentralizing essential services such as computing, energy, and telecommunications, DePIN delivers scalability, resilience, and cost-efficiency that surpass the usual capabilities of centralized systems. This innovation could mark the next wave of technological progress - one that democratizes access and unlocks wealth-generation opportunities for communities historically excluded from economic advancement. DePIN’s impact is poised to be more than incremental, serving as a catalyst for widespread change. The DePIN sector is gaining attention but also substantial investment as well, with a market capitalization exceeding $33.6 billion (Coingecko). Esteemed venture capitalists have begun investing in innovative DePIN projects, underscoring the sector’s vast potential. According to a 2023 report by Messari, the market potential for DePIN is valued at $2.2 trillion, with projections to surge to $3.5 trillion by 2028. To date, leading DePIN projects have collectively secured over $1 billion in funding, illustrating the growing confidence of investors in this space. Acknowledging the potential thrive of DePIN with the successful listing from peaq, U2U Network, a leading DePIN Layer1 in Asia, has just announced its new collaboration with CoinList, a top token launch platform in crypto with many successful DePIN projects such as Filecoin, NATIX, Koii, peaq, etc., for a new pre-listing campaign. CoinList x U2U Network: U2U Incentivized Mainnet Saga Campaign U2U Network, backed by Kucoin Ventures, Chain Capital, IDG Blockchain, JDI, Cointelegraph, Crypto Assets Japan, and V3V Ventures, is a modular Layer 1 network that uses advanced directed acyclic graph (DAG) technology and Ethereum Virtual Machine (EVM) compatibility to provide fast transactions and quick finality. U2U Network aims to address the fragmented nature of the DePIN market, where full integration across applications is rare. Its vision is to create a complete blockchain solution for DePIN. The network’s unique subnet technology allows for the creation of customizable, independent sub-networks that offer scalability and flexibility tailored for DePIN applications. This design provides high performance, strong security, and adaptability, giving developers the tools to build and launch DePINs efficiently while enabling users to connect, contribute, and potentially earn from various DePIN projects. CoinList’s collaboration with U2U Network reflects their shared commitment to advancing the DePIN sector. This collaboration is highlighted by the U2U Incentivized Mainnet Saga Campaign, marking a key step in driving the growth and adoption of DePIN technology. This campaign could serve as gateway to earning $U2U tokens before they hit the market. Participants can gain access to $U2U tokens through Owlto Finance by bridging $USDT to receive $pUSDT, which can then be staked in the U2U Incentivized Staking Pool. The program offers a reward pool of 10,000,000 $U2U tokens for eligible participants. Timeline: 90 days, from 12th Nov 2024 to 10th Feb 2025 For more information, users can read here: <https://mainnetsaga.u2u.xyz/ ](https://mainnetsaga.u2u.xyz/) Beyond its collaboration with CoinList, U2U Network is set to embark on an ambitious campaign with Bitget, a world-leading cryptocurrency exchange and Web3 ininnovaton. This collaboration marks another step in U2U Network’s mission to expand its reach and influence within the DePIN ecosystem. Users can stay connected with U2U Network’s social channels for upcoming details about this exciting venture. The Future Goes On Momentum is growing within the community from U2U Network’s pre-listing campaigns; the anticipated listing is set to launch in Q4 2024. With its vision to be a comprehensive blockchain solution for DePIN, U2U Network is positioned to make a significant impact on blockchain space, bringing robust innovation and value to its ecosystem and users alike. As the listing approaches, the path forward for U2U Network indicates significant opportunities and impactful contributions to the blockchain industry and beyond. The U2U incentivized mainnet campaign is not available to residents in the U.S. (and its territories), Canada and certain other jurisdictions. The content on this page has been provided by U2U Network and is for general informational purposes only. CoinList does not make any representations or warranties, express or implied, regarding the accuracy, completeness or timeliness of the information provided. Additionally, CoinList does not endorse or recommend any products, or services, mentioned on this page, nor does anything contained herein constitute financial, investment, legal or other professional advice. Users are encouraged to consult their own independent advisors before making any decisions based on the content of this site. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here The DePIN sector is experiencing a surge, drawing attention as more people recognize its potential in reshaping the digital landscape. Recently, a viral poll, conducted by CoinList , asked users, “What category of projects do you want to see most on CoinList?” DePIN emerged as the top choice, a testament to its rising prominence. CoinList CoinList Following this, U2U Network - a DePIN-focused Layer 1, announced a collaboration with CoinList for an exclusive incentivized mainnet campaign. This means U2U Network is the first DePIN project to launch a growth campaign on CoinList in Q4 2024. U2U Network U2U Network CoinList CoinList DePIN - Beyond a Passing Trend DePIN (Decentralized Physical Infrastructure Network) stands out as one of today’s promising technologies, challenging the skepticism often directed at the blockchain industry. Unlike fleeting trends, DePIN aims to represent a foundational shift in managing infrastructure. By decentralizing essential services such as computing, energy, and telecommunications, DePIN delivers scalability, resilience, and cost-efficiency that surpass the usual capabilities of centralized systems. This innovation could mark the next wave of technological progress - one that democratizes access and unlocks wealth-generation opportunities for communities historically excluded from economic advancement. DePIN’s impact is poised to be more than incremental, serving as a catalyst for widespread change. The DePIN sector is gaining attention but also substantial investment as well, with a market capitalization exceeding $33.6 billion ( Coingecko ). Esteemed venture capitalists have begun investing in innovative DePIN projects, underscoring the sector’s vast potential. Coingecko Coingecko According to a 2023 report by Messari , the market potential for DePIN is valued at $2.2 trillion, with projections to surge to $3.5 trillion by 2028. To date, leading DePIN projects have collectively secured over $1 billion in funding , illustrating the growing confidence of investors in this space. a 2023 report by Messari a 2023 report by Messari secured over $1 billion in funding secured over $1 billion in funding Acknowledging the potential thrive of DePIN with the successful listing from peaq, U2U Network, a leading DePIN Layer1 in Asia, has just announced its new collaboration with CoinList , a top token launch platform in crypto with many successful DePIN projects such as Filecoin , NATIX , Koii , peaq , etc., for a new pre-listing campaign. CoinList CoinList Filecoin Filecoin NATIX NATIX Koii Koii peaq peaq CoinList x U2U Network: U2U Incentivized Mainnet Saga Campaign U2U Network, backed by Kucoin Ventures , Chain Capital , IDG Blockchain , JDI , Cointelegraph , Crypto Assets Japan, and V3V Ventures , is a modular Layer 1 network that uses advanced directed acyclic graph (DAG) technology and Ethereum Virtual Machine (EVM) compatibility to provide fast transactions and quick finality. Kucoin Ventures Kucoin Ventures Chain Capital Chain Capital IDG Blockchain IDG Blockchain JDI JDI Cointelegraph Cointelegraph V3V Ventures V3V Ventures U2U Network aims to address the fragmented nature of the DePIN market, where full integration across applications is rare. Its vision is to create a complete blockchain solution for DePIN. The network’s unique subnet technology allows for the creation of customizable, independent sub-networks that offer scalability and flexibility tailored for DePIN applications. This design provides high performance, strong security, and adaptability, giving developers the tools to build and launch DePINs efficiently while enabling users to connect, contribute, and potentially earn from various DePIN projects. CoinList’s collaboration with U2U Network reflects their shared commitment to advancing the DePIN sector. This collaboration is highlighted by the U2U Incentivized Mainnet Saga Campaign, marking a key step in driving the growth and adoption of DePIN technology. This campaign could serve as gateway to earning $U2U tokens before they hit the market. Participants can gain access to $U2U tokens through Owlto Finance by bridging $USDT to receive $pUSDT, which can then be staked in the U2U Incentivized Staking Pool . The program offers a reward pool of 10,000,000 $U2U tokens for eligible participants. Owlto Finance Owlto Finance U2U Incentivized Staking Pool U2U Incentivized Staking Pool Timeline: 90 days, from 12th Nov 2024 to 10th Feb 2025 For more information, users can read here: <https://mainnetsaga.u2u.xyz/ ](https://mainnetsaga.u2u.xyz/) For more information, users can read here: <https://mainnetsaga.u2u.xyz/ ](https://mainnetsaga.u2u.xyz/) <https://mainnetsaga.u2u.xyz/ ](https://mainnetsaga.u2u.xyz/) Beyond its collaboration with CoinList, U2U Network is set to embark on an ambitious campaign with Bitget, a world-leading cryptocurrency exchange and Web3 ininnovaton. This collaboration marks another step in U2U Network’s mission to expand its reach and influence within the DePIN ecosystem. Users can stay connected with U2U Network’s social channels for upcoming details about this exciting venture. The Future Goes On Momentum is growing within the community from U2U Network’s pre-listing campaigns; the anticipated listing is set to launch in Q4 2024. With its vision to be a comprehensive blockchain solution for DePIN, U2U Network is positioned to make a significant impact on blockchain space, bringing robust innovation and value to its ecosystem and users alike. As the listing approaches, the path forward for U2U Network indicates significant opportunities and impactful contributions to the blockchain industry and beyond. The U2U incentivized mainnet campaign is not available to residents in the U.S. (and its territories), Canada and certain other jurisdictions . other jurisdictions The content on this page has been provided by U2U Network and is for general informational purposes only. CoinList does not make any representations or warranties, express or implied, regarding the accuracy, completeness or timeliness of the information provided. Additionally, CoinList does not endorse or recommend any products, or services, mentioned on this page, nor does anything contained herein constitute financial, investment, legal or other professional advice. Users are encouraged to consult their own independent advisors before making any decisions based on the content of this site. The content on this page has been provided by U2U Network and is for general informational purposes only. CoinList does not make any representations or warranties, express or implied, regarding the accuracy, completeness or timeliness of the information provided. Additionally, CoinList does not endorse or recommend any products, or services, mentioned on this page, nor does anything contained herein constitute financial, investment, legal or other professional advice. Users are encouraged to consult their own independent advisors before making any decisions based on the content of this site. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

U2U Network - The First DePIN Project To Launch Growth Campaign On CoinList In Q4 2024

Síť U2U – první projekt DePIN, který ve 4. čtvrtletí 2024 spustí kampaň růstu na CoinList

Red U2U: el primer proyecto DePIN que lanzará una campaña de crecimiento en CoinList en el cuarto trimestre de 2024

U2U Network – Ensimmäinen DePIN-projekti, joka käynnistää kasvukampanjan CoinListissa vuoden 2024 viimeisellä neljänneksellä

U2U Network: o primeiro proxecto DePIN en lanzar unha campaña de crecemento en CoinList no cuarto trimestre de 2024

רשת U2U - פרויקט ה-DePIN הראשון להשיק קמפיין צמיחה ברשימת CoinList ברבעון הרביעי של 2024

U2U Ցանց - Առաջին DePIN նախագիծը, որը գործարկում է աճի արշավ CoinList-ում 2024 թվականի 4-րդ եռամսյակում

U2U ネットワーク - 2024 年第 4 四半期に CoinList で成長キャンペーンを開始する最初の DePIN プロジェクト

បណ្តាញ U2U - គម្រោង DePIN ដំបូងដើម្បីចាប់ផ្តើមយុទ្ធនាការកំណើននៅលើ CoinList នៅក្នុង Q4 2024

U2U नेटवर्क - Q4 2024 मा CoinList मा वृद्धि अभियान सुरु गर्न पहिलो DePIN परियोजना।

Sieć U2U — pierwszy projekt DePIN, który uruchomi kampanię wzrostu na CoinList w czwartym kwartale 2024 r.

U2U Umuyoboro - Umushinga wambere DePIN wo gutangiza ubukangurambaga bwo Gukura Kurutonde rwibiceri Muri Q4 2024

U2U نیٹ ورک - Q4 2024 میں CoinList پر ترقی کی مہم شروع کرنے والا پہلا DePIN پروجیکٹ

Why does the mind stay sharper than muscles as age advances? Why do professional athletes in several sports retire after 30? What is the difference between genes expressed elsewhere in the body and those expressed in the brain, by neurons? Why does muscle mass decrease after 30? If the mind controls muscle movement through life, does the mind have a role in muscle growth? An offspring does not inherit the language of the parent, but an offspring inherits anatomic features of the parent. What is the difference between the mechanism for language and those for the features of the parent? Both are made possible by genes, but one can be said to be indirect and the other say direct. Genes are present in all cells. They act as engines--with instructions--to make determinations. They work in muscle cells. They work across several cells and are expressed across functions. However, what is the relationship between when genes are expressed in several functions and when the brain is said to regulate those functions? Why is it possible that nurture for an offspring can result in huge differences from the parent, even if physical features are similar? What is the relationship between genes and the mind? Genes contain instructions, but it is postulated that they are almost totally regimented. Many of their instructions, conceptually, are not that flexible, so what they have to express is almost the same way it has to be expressed, without much changes--so to speak. It is theorized that what makes several functions--or options--possible is the mind. This means that genes are near fixed, but the mind runs the flexibility. A second difference is that the ability for the mind to give and receive information is greater than genes, that mostly send out instructions, though they receive information, it is not often as much as the mind, conceptually. Also, for what genes control directly and what the mind does too, directly, how do genes and the mind work together. What is the human mind? The mind is not genes nor neurons. The candidate for the human mind, conceptually, are the electrical and chemical signals of neurons, with their interactions and features in sets, in clusters of neurons across the central and peripheral nervous systems. Sets of signals have configurations [or arrangements] for which the basis of functions is held. This means that a smell, a sound, and so forth are all configurations of signals. Configuration templates arrive by the instruction of genes, but the contents are made by signals. However, there are several cases, conceptually, where genes are responsible for situations of the mind by anomalies in templates. This means that some individuals that have certain susceptibilities may have a template-induced configuration problem, such that when the problem takes place, with signals, it is at the error of genes. Simply, genes make it possible to have templates for which signals can build configurations. These templates--for several functions are generally similar--but anomalies exist within some, which may also be inherited, responsible for some kinds of addictions or mind disorders. A question is that for some of these template problems, are they from scratch or are they activated at a stage during development? Since genes are involved across cells, for development through life, it is possible to theorize that they also play roles in some of the templates for the configurations of mind, through adulthood, in many ways. This means that there could be continuous instruction passages about what templates should be, for certain functions, so that signals can then build configurations into them. In summary, genes can be said to make carvings, while signals enable a fill for those, as configurations. How Do Genes Work With The Mind? The mind is the front face of interaction with the world after birth, though the mind has already formed, conceptually before birth, it has no direct interface with the world. The mind becomes the operational source for many functions. Though genes in cells send out growth instructions, shaping cells for tissues, organs, and systems with timelines and extents, it is signals that operate at availability, while genes build availability. For example, the hand at any growth stage is by the genes, but its control or operation is by the mind. Genes can be said to have caps, theoretically, while the mind does not have caps. Even though genes lay out the possibility for what the mind can fill or build configurations for, the mind seems limitless with what it can learn, what it can be trained to do, though within the capacity of genes, but far beyond the allowance that genes have. It is theorized that a reason why sports retirement is common after 30, for many athletes, is that the stretch of genes becomes capped for certain activities around that age, even though the mind is still as sharp. Genes are also theorized to be responsible for aging, since their lack of continuous instruction for growth, unlike previously, may result in a peak then decline, by cells, of the tissue or organ. However, the mind, in use, often make it possible to keep functions active, even when growth by genes have stalled, conceptually. Mind and genes work closely together, but there is a lot that the mind decides. For example, what is the role of the mind in diseases? How do they relate to genes? Even though there are genetic anomalies responsible for some conditions, how does the mind factor? It is possible to use a conceptual model for the mind towards mapping the reach of genes against diseases. There is a recent feature, Gene therapy protects against motor neuron disease in rats, stating that, "University of Wisconsin–Madison researchers targeting a group of hereditary neurodegenerative diseases have found success using a gene therapy treatment in an animal model. The approach, which uses CRISPR-Cas9 genome editing technology, offers a unique and promising strategy that could one day treat rare but debilitating motor neuron diseases in humans. Hereditary spastic paraplegia, or HSP, is a group of movement disorders that cause progressive weakness and stiffness in the legs of people with certain inherited genetic mutations. The rare disorders usually lead to physical limitations and use of a wheelchair. Studying disease processes in animal models is an indispensable part of developing and testing any new treatments before they’re offered to humans. But scientists had historically struggled to replicate HSP’s symptoms and disease progression in animal models." There is another recent story, Aging-related genomic culprit found in Alzheimer’s disease – WashU Medicine, stating that, " Researchers at Washington University School of Medicine in St. Louis have developed a way to capture the effects of aging in the development of Alzheimer’s disease. They have devised a method to study aged neurons in the lab without a brain biopsy, an advancement that could contribute to a better understanding of the disease and new treatment strategies. The scientists transformed skin cells taken from patients with late-onset Alzheimer’s disease into brain cells called neurons. Late-onset Alzheimer’s develops gradually over many decades and only starts to show symptoms at age 65 or older. For the first time, these lab-derived neurons accurately reproduced the hallmarks of this type of dementia, including the amyloid beta buildup, tau protein deposits and neuronal cell death. By studying these cells, the researchers identified aspects of cells’ genomes — called retrotransposable elements, which change their activity as we age — in the development of late-onset Alzheimer’s disease. The findings suggest new treatment strategies targeting these factors." Why does the mind stay sharper than muscles as age advances? Why do professional athletes in several sports retire after 30? What is the difference between genes expressed elsewhere in the body and those expressed in the brain, by neurons? Why does muscle mass decrease after 30? If the mind controls muscle movement through life, does the mind have a role in muscle growth? An offspring does not inherit the language of the parent, but an offspring inherits anatomic features of the parent. What is the difference between the mechanism for language and those for the features of the parent? Both are made possible by genes, but one can be said to be indirect and the other say direct. Genes are present in all cells. They act as engines--with instructions--to make determinations. They work in muscle cells. They work across several cells and are expressed across functions. However, what is the relationship between when genes are expressed in several functions and when the brain is said to regulate those functions? Why is it possible that nurture for an offspring can result in huge differences from the parent, even if physical features are similar? What is the relationship between genes and the mind ? What is the relationship between genes and the mind Genes contain instructions, but it is postulated that they are almost totally regimented. Many of their instructions, conceptually, are not that flexible, so what they have to express is almost the same way it has to be expressed, without much changes--so to speak. It is theorized that what makes several functions--or options--possible is the mind. This means that genes are near fixed, but the mind runs the flexibility. A second difference is that the ability for the mind to give and receive information is greater than genes, that mostly send out instructions, though they receive information, it is not often as much as the mind, conceptually. Also, for what genes control directly and what the mind does too, directly, how do genes and the mind work together. What is the human mind? The mind is not genes nor neurons. The candidate for the human mind, conceptually, are the electrical and chemical signals of neurons, with their interactions and features in sets, in clusters of neurons across the central and peripheral nervous systems. Sets of signals have configurations [or arrangements] for which the basis of functions is held. This means that a smell, a sound, and so forth are all configurations of signals. Configuration templates arrive by the instruction of genes, but the contents are made by signals. templates However, there are several cases, conceptually, where genes are responsible for situations of the mind by anomalies in templates. This means that some individuals that have certain susceptibilities may have a template-induced configuration problem, such that when the problem takes place, with signals, it is at the error of genes. templates. template-induced Simply, genes make it possible to have templates for which signals can build configurations. These templates--for several functions are generally similar--but anomalies exist within some, which may also be inherited, responsible for some kinds of addictions or mind disorders. A question is that for some of these template problems, are they from scratch or are they activated at a stage during development? Since genes are involved across cells, for development through life, it is possible to theorize that they also play roles in some of the templates for the configurations of mind, through adulthood, in many ways. templates This means that there could be continuous instruction passages about what templates should be, for certain functions, so that signals can then build configurations into them. templates In summary, genes can be said to make carvings, while signals enable a fill for those, as configurations . while signals enable a fill for those, as configurations How Do Genes Work With The Mind? How Do Genes Work With The Mind? The mind is the front face of interaction with the world after birth, though the mind has already formed, conceptually before birth, it has no direct interface with the world. The mind becomes the operational source for many functions. Though genes in cells send out growth instructions, shaping cells for tissues, organs, and systems with timelines and extents, it is signals that operate at availability, while genes build availability. For example, the hand at any growth stage is by the genes, but its control or operation is by the mind. Genes can be said to have caps, theoretically, while the mind does not have caps. Even though genes lay out the possibility for what the mind can fill or build configurations for, the mind seems limitless with what it can learn, what it can be trained to do, though within the capacity of genes, but far beyond the allowance that genes have. It is theorized that a reason why sports retirement is common after 30, for many athletes, is that the stretch of genes becomes capped for certain activities around that age, even though the mind is still as sharp. Genes are also theorized to be responsible for aging, since their lack of continuous instruction for growth, unlike previously, may result in a peak then decline, by cells, of the tissue or organ. However, the mind, in use, often make it possible to keep functions active, even when growth by genes have stalled, conceptually. Mind and genes work closely together, but there is a lot that the mind decides. For example, what is the role of the mind in diseases? How do they relate to genes? Even though there are genetic anomalies responsible for some conditions, how does the mind factor? It is possible to use a conceptual model for the mind towards mapping the reach of genes against diseases. There is a recent feature, Gene therapy protects against motor neuron disease in rats , stating that, "University of Wisconsin–Madison researchers targeting a group of hereditary neurodegenerative diseases have found success using a gene therapy treatment in an animal model. The approach, which uses CRISPR-Cas9 genome editing technology, offers a unique and promising strategy that could one day treat rare but debilitating motor neuron diseases in humans. Hereditary spastic paraplegia, or HSP, is a group of movement disorders that cause progressive weakness and stiffness in the legs of people with certain inherited genetic mutations. The rare disorders usually lead to physical limitations and use of a wheelchair. Studying disease processes in animal models is an indispensable part of developing and testing any new treatments before they’re offered to humans. But scientists had historically struggled to replicate HSP’s symptoms and disease progression in animal models." Gene therapy protects against motor neuron disease in rats There is another recent story, Aging-related genomic culprit found in Alzheimer’s disease – WashU Medicine , stating that, " Researchers at Washington University School of Medicine in St. Louis have developed a way to capture the effects of aging in the development of Alzheimer’s disease. They have devised a method to study aged neurons in the lab without a brain biopsy, an advancement that could contribute to a better understanding of the disease and new treatment strategies. The scientists transformed skin cells taken from patients with late-onset Alzheimer’s disease into brain cells called neurons. Late-onset Alzheimer’s develops gradually over many decades and only starts to show symptoms at age 65 or older. For the first time, these lab-derived neurons accurately reproduced the hallmarks of this type of dementia, including the amyloid beta buildup, tau protein deposits and neuronal cell death. By studying these cells, the researchers identified aspects of cells’ genomes — called retrotransposable elements, which change their activity as we age — in the development of late-onset Alzheimer’s disease. The findings suggest new treatment strategies targeting these factors." Aging-related genomic culprit found in Alzheimer’s disease – WashU Medicine

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