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🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet...

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Andy ττ

9,821 subscribers

30,393 次观看 • 1 年前 •via X (Twitter)

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5 条评论

TemporaryExistence 的头像
TemporaryExistence1 年前

@logicnet_ait There is no better product than openai and midjourney and they are just getting better which are not decentralized...do you think any decentralize ai can be better than them?

Joshua | Contango Digital 的头像
Joshua | Contango Digital1 年前

@logicnet_ait awesome to see... thanks for covering!

GroKuDino 🦖💚 的头像
GroKuDino 🦖💚1 年前

@logicnet_ait $Tao $ait will follow 💚💚💚🚀🚀🚀

Robin💥 (τ,τ) 的头像
Robin💥 (τ,τ)1 年前

@logicnet_ait Great article 👌

B manu 的头像
B manu1 年前

@logicnet_ait developing applications useful to the greatest number of people would not be a luxury in parallel to your research. in order to promote the adoption of bittensor among all this seems logical to me.

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🚀 Exciting News $SHELL the Future of AI Agents and $TAO with the TTS Subnet on Bittensor! 🚀 MyShell extends the impact of Bittensor's incentive mechanism to its over 1 million registered users and 50,000 creators, greatly expanding Bittensor's and $TAO's influence. MyShell and Bittensor are right at the heart this massive shake-up with $SHELL and $TAO. They’re all about making AI not just smart but also something everyone can get into, thanks to the power of decentralized networks. And at the core? AI agents. These aren't your average digital assistants; they're about to change how we interact with tech on a whole new level. MyShell's Big Idea with $SHELL So, MyShell’s got this big plan to make AI something anyone can dive into. They're launching this TTS Subnet thing on Bittensor's network, which is all about making machines talk in more human-like ways, and they're using $SHELL tokens to fuel this vision. Their goal? To push past old-school AI limits and create with AI as easy as pie, all while keeping it open-source and community-powered. Bittensor Does Its Magic with $TAO On the other side, you’ve got Bittensor doing wonders with $TAO, building this massive network where anyone, anywhere, can chip in on AI research and development. This partnership with MyShell? It’s a game-changer, breaking down walls in AI development and letting folks from all over the world have a go at making AI smarter. $SHELL + $TAO = AI Revolution Putting $SHELL and $TAO together is where the magic really happens. MyShell and Bittensor aren’t just teaming up for the tech; they’re here to transform our digital world, making AI agents a big part of our online lives. Imagine AI that doesn’t just follow orders but helps, creates, and learns with you. That’s the future they’re building. Hop on Board the AI Revolution This isn’t just tech talk; it’s a call to action. MyShell and Bittensor are inviting anyone with a spark for AI to jump in and help shape this new world. Whether you’re a coder, a creator, or just curious, there’s a spot for you to dive in and make a difference. Want to get started? Check out MyShell on GitHub: Follow the latest buzz on X: MyShell.AI Take a deeper dive at Website: This is more than just building AI; it’s about crafting a future where AI is part of everyone’s life, powered by the community, for the community. Let’s make it happen with $SHELL and $TAO. Share on YouTube:
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🚀 Exciting News $SHELL the Future of AI Agents and $TAO with the TTS Subnet on Bittensor! 🚀 MyShell extends the impact of Bittensor's incentive mechanism to its over 1 million registered users and 50,000 creators, greatly expanding Bittensor's and $TAO's influence. MyShell and Bittensor are right at the heart this massive shake-up with $SHELL and $TAO. They’re all about making AI not just smart but also something everyone can get into, thanks to the power of decentralized networks. And at the core? AI agents. These aren't your average digital assistants; they're about to change how we interact with tech on a whole new level. MyShell's Big Idea with $SHELL So, MyShell’s got this big plan to make AI something anyone can dive into. They're launching this TTS Subnet thing on Bittensor's network, which is all about making machines talk in more human-like ways, and they're using $SHELL tokens to fuel this vision. Their goal? To push past old-school AI limits and create with AI as easy as pie, all while keeping it open-source and community-powered. Bittensor Does Its Magic with $TAO On the other side, you’ve got Bittensor doing wonders with $TAO, building this massive network where anyone, anywhere, can chip in on AI research and development. This partnership with MyShell? It’s a game-changer, breaking down walls in AI development and letting folks from all over the world have a go at making AI smarter. $SHELL + $TAO = AI Revolution Putting $SHELL and $TAO together is where the magic really happens. MyShell and Bittensor aren’t just teaming up for the tech; they’re here to transform our digital world, making AI agents a big part of our online lives. Imagine AI that doesn’t just follow orders but helps, creates, and learns with you. That’s the future they’re building. Hop on Board the AI Revolution This isn’t just tech talk; it’s a call to action. MyShell and Bittensor are inviting anyone with a spark for AI to jump in and help shape this new world. Whether you’re a coder, a creator, or just curious, there’s a spot for you to dive in and make a difference. Want to get started? Check out MyShell on GitHub: Follow the latest buzz on X: MyShell.AI Take a deeper dive at Website: This is more than just building AI; it’s about crafting a future where AI is part of everyone’s life, powered by the community, for the community. Let’s make it happen with $SHELL and $TAO. Share on YouTube:

Andy ττ

10,823 次观看 • 2 年前

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next
3:57:39

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next

Rob Wiblin

93,669 次观看 • 1 年前

Bittensor $TAO 🚀 A major milestone for Bittensor! General TAO Ventures continues to build the infrastructure accelerating the global adoption of decentralized artificial intelligence. Bittensor subnet tokens are coming soon to base , through a strategic partnership between Chainlink , Base , and Aerodrome . 👉 $TAO holders will be able to stake and receive xALPHA tokens on Base, which can then be used in AerodromeFi pools to earn additional APY on their $TAO while accumulating alpha bags. This innovation brings Bittensor network liquidity to an unprecedented scale. Anyone with a Coinbase account and the Baseapp will soon be able to explore and interact with subnet tokens. Until now, accessing Bittensor required navigating through experimental tools and a complex wallet architecture. With Project Rubicon, that barrier is gone, retail investors can now join the decentralized AI revolution in just a few clicks. 🌐 A new era begins, one where Bittensor truly opens up to the world. General Tensor Contango Digital Assets mikecontango | τ,τ Joshua Field
14:10

Bittensor $TAO 🚀 A major milestone for Bittensor! General TAO Ventures continues to build the infrastructure accelerating the global adoption of decentralized artificial intelligence. Bittensor subnet tokens are coming soon to base , through a strategic partnership between Chainlink , Base , and Aerodrome . 👉 $TAO holders will be able to stake and receive xALPHA tokens on Base, which can then be used in AerodromeFi pools to earn additional APY on their $TAO while accumulating alpha bags. This innovation brings Bittensor network liquidity to an unprecedented scale. Anyone with a Coinbase account and the Baseapp will soon be able to explore and interact with subnet tokens. Until now, accessing Bittensor required navigating through experimental tools and a complex wallet architecture. With Project Rubicon, that barrier is gone, retail investors can now join the decentralized AI revolution in just a few clicks. 🌐 A new era begins, one where Bittensor truly opens up to the world. General Tensor Contango Digital Assets mikecontango | τ,τ Joshua Field

Punisher ττ

16,037 次观看 • 8 个月前

AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.
30:39

AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.

David Shapiro (L/0)

48,002 次观看 • 1 年前

🤗 Excited to launch the new ALX Applied AI Program #ALX_AI - A Pioneering Initiative for ALX Graduates! 🌟🚀🤖 In today's rapidly evolving world, where Artificial Intelligence (AI) is reshaping the very fabric of society, staying ahead in the technology curve is not just an advantage, it's a necessity. Embracing this transformative era, we are excited to unveil the ALX Applied AI Program #ALX_AI, a unique and visionary initiative meticulously designed by Kalkidan Betre and I. This program emerges from a profound understanding that AI is the future – a future where the statement "AI will not take your job, but someone who uses AI will" becomes an undeniable reality. We aim to equip a new generation of professionals, not just with a superficial grasp of AI, but with a deep, practical understanding that enables them to drive innovation across various sectors, from healthcare to finance. The essence of the Applied AI Program #ALX_AI lies in its approach: to make AI accessible and understandable to everyone, irrespective of their coding background. It's more than just a course; it's a comprehensive journey through AI, offering weekly hands-on projects on practical AI tools, supplemented by a wealth of written tutorials and video guides. This program is tailored to illuminate the myriad aspects of AI, ensuring each student grasps its concepts fully and can apply them in real-world scenarios. Again: no coding background is required! Our first project, "Creating a Deepfake Video - The Trailer," is not only an engaging introduction to AI's capabilities but also a critical lesson in the ethical application of these technologies. We emphasize the responsible use of AI, instilling in our students the importance of consent, integrity, and purposeful creation. In recognition of the dedication and achievements of our ALX Africa graduates (#ALX_SE and all others), we are initially launching this program exclusively for them, and at no charge. This beta phase is an opportunity for ALX alumni to pioneer in this innovative realm, setting the stage for future expansions to include a wider audience. So today, we invite our ALX graduates to be part of this groundbreaking initiative: your journey into the world of AI starts here, a journey where you don't just learn about AI but become an integral part of the AI revolution. It's an opportunity to harness AI as a tool for innovation, creativity, and problem-solving – skills that are essential in the job market of today and tomorrow. If you're an alumnus of any ALX program, watch your inbox for an invitation. We're sending these invites to the email you used during your ALX program. (Haven't seen it yet? Please check your spam folder.) Or directly go to , click "Get Started" and check your inbox (and spam box). For those who have not had the privilege of being part of ALX but are eager to dive into the world of AI, we haven't forgotten you. Join the waitlist here: and be the first to know when we open our doors to a wider audience. Embrace AI, Embrace the Future! Enjoy! 🌐 Stay Connected, Stay Updated: Follow Kalkidan Betre and I for more insights and project previews.
0:49

🤗 Excited to launch the new ALX Applied AI Program #ALX_AI - A Pioneering Initiative for ALX Graduates! 🌟🚀🤖 In today's rapidly evolving world, where Artificial Intelligence (AI) is reshaping the very fabric of society, staying ahead in the technology curve is not just an advantage, it's a necessity. Embracing this transformative era, we are excited to unveil the ALX Applied AI Program #ALX_AI, a unique and visionary initiative meticulously designed by Kalkidan Betre and I. This program emerges from a profound understanding that AI is the future – a future where the statement "AI will not take your job, but someone who uses AI will" becomes an undeniable reality. We aim to equip a new generation of professionals, not just with a superficial grasp of AI, but with a deep, practical understanding that enables them to drive innovation across various sectors, from healthcare to finance. The essence of the Applied AI Program #ALX_AI lies in its approach: to make AI accessible and understandable to everyone, irrespective of their coding background. It's more than just a course; it's a comprehensive journey through AI, offering weekly hands-on projects on practical AI tools, supplemented by a wealth of written tutorials and video guides. This program is tailored to illuminate the myriad aspects of AI, ensuring each student grasps its concepts fully and can apply them in real-world scenarios. Again: no coding background is required! Our first project, "Creating a Deepfake Video - The Trailer," is not only an engaging introduction to AI's capabilities but also a critical lesson in the ethical application of these technologies. We emphasize the responsible use of AI, instilling in our students the importance of consent, integrity, and purposeful creation. In recognition of the dedication and achievements of our ALX Africa graduates (#ALX_SE and all others), we are initially launching this program exclusively for them, and at no charge. This beta phase is an opportunity for ALX alumni to pioneer in this innovative realm, setting the stage for future expansions to include a wider audience. So today, we invite our ALX graduates to be part of this groundbreaking initiative: your journey into the world of AI starts here, a journey where you don't just learn about AI but become an integral part of the AI revolution. It's an opportunity to harness AI as a tool for innovation, creativity, and problem-solving – skills that are essential in the job market of today and tomorrow. If you're an alumnus of any ALX program, watch your inbox for an invitation. We're sending these invites to the email you used during your ALX program. (Haven't seen it yet? Please check your spam folder.) Or directly go to , click "Get Started" and check your inbox (and spam box). For those who have not had the privilege of being part of ALX but are eager to dive into the world of AI, we haven't forgotten you. Join the waitlist here: and be the first to know when we open our doors to a wider audience. Embrace AI, Embrace the Future! Enjoy! 🌐 Stay Connected, Stay Updated: Follow Kalkidan Betre and I for more insights and project previews.

Julien Barbier 🙃❤️🏴‍☠️

46,422 次观看 • 2 年前

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.
1:52

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,904 次观看 • 1 年前

Today is a good day for open science. As part of our continued commitment to the growth and development of an open ecosystem, today at Meta FAIR we’re announcing four new publicly available AI models and additional research artifacts to inspire innovation in the community and help advance AI in a responsible way. More in the video from Joelle Pineau. What we’re releasing: 🦎 Meta Chameleon 7B & 34B language models that support mixed-modal input and text-only outputs. 🪙 Meta Multi-Token Prediction Pretrained Language Models for code completion using Multi-Token Prediction. 🎼 Meta JASCO Generative text-to-music models capable of accepting various conditioning inputs for greater controllability. Paper available today with a pretrained model coming soon. 🗣️ Meta AudioSeal An audio watermarking model that we believe is the first designed specifically for the localized detection of AI-generated speech, available under a commercial license. 📝 Additional RAI artifacts Including research, data and code to measure and improve the representation of geographical and cultural preferences and diversity in AI systems. We believe that access to state-of-the-art AI creates opportunities for everyone – not just a small handful of Big Tech companies. We’re excited to share this work and to see how the community learns, iterates and builds using this technology. Details and access to everything released by FAIR today ➡️
1:14

Today is a good day for open science. As part of our continued commitment to the growth and development of an open ecosystem, today at Meta FAIR we’re announcing four new publicly available AI models and additional research artifacts to inspire innovation in the community and help advance AI in a responsible way. More in the video from Joelle Pineau. What we’re releasing: 🦎 Meta Chameleon 7B & 34B language models that support mixed-modal input and text-only outputs. 🪙 Meta Multi-Token Prediction Pretrained Language Models for code completion using Multi-Token Prediction. 🎼 Meta JASCO Generative text-to-music models capable of accepting various conditioning inputs for greater controllability. Paper available today with a pretrained model coming soon. 🗣️ Meta AudioSeal An audio watermarking model that we believe is the first designed specifically for the localized detection of AI-generated speech, available under a commercial license. 📝 Additional RAI artifacts Including research, data and code to measure and improve the representation of geographical and cultural preferences and diversity in AI systems. We believe that access to state-of-the-art AI creates opportunities for everyone – not just a small handful of Big Tech companies. We’re excited to share this work and to see how the community learns, iterates and builds using this technology. Details and access to everything released by FAIR today ➡️

AI at Meta

380,751 次观看 • 2 年前

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.
1:28

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.

Konstantine Buhler

24,868 次观看 • 9 个月前

Everyone says “learn AI.” No one shows you how to use it for your job, skill level, or daily workflow. So we're launching the world’s first personalized AI education platform: Tailored training, use cases, and live workshops for your career. Here’s what's inside: 1. Industry-specific AI certificate courses across 16 tech verticals 2. 300+ real-world AI use cases filtered by what's relevant to you 3. Live, expert-led workshops with our in-house AI research team + AI tool partners 4. A personalized community and network of AI-minded professionals in your industry 5. $1,000+ in exclusive discounts on top AI tools We've all heard “use AI or be replaced.” But beyond ChatGPT prompts and expensive AI consultants, there’s no real roadmap. So we built one -- by crowdsourcing the best workflows across the 1M+ AI early adopters in our community and turning them into personalized playbooks. That means whether you're in marketing, dev, ops, or any of the 16 industries we cover, you’ll only see what’s actually working in your field. No more noise. We'll show you the vetted AI tools and workflows actually being used in the real world by the early adopters in your industry. We believe the future of work belongs to those who combine AI with domain expertise. And now, there’s no excuse not to start. The first 14 days are 100% free, enough to earn your first certificate 👇
1:40

Everyone says “learn AI.” No one shows you how to use it for your job, skill level, or daily workflow. So we're launching the world’s first personalized AI education platform: Tailored training, use cases, and live workshops for your career. Here’s what's inside: 1. Industry-specific AI certificate courses across 16 tech verticals 2. 300+ real-world AI use cases filtered by what's relevant to you 3. Live, expert-led workshops with our in-house AI research team + AI tool partners 4. A personalized community and network of AI-minded professionals in your industry 5. $1,000+ in exclusive discounts on top AI tools We've all heard “use AI or be replaced.” But beyond ChatGPT prompts and expensive AI consultants, there’s no real roadmap. So we built one -- by crowdsourcing the best workflows across the 1M+ AI early adopters in our community and turning them into personalized playbooks. That means whether you're in marketing, dev, ops, or any of the 16 industries we cover, you’ll only see what’s actually working in your field. No more noise. We'll show you the vetted AI tools and workflows actually being used in the real world by the early adopters in your industry. We believe the future of work belongs to those who combine AI with domain expertise. And now, there’s no excuse not to start. The first 14 days are 100% free, enough to earn your first certificate 👇

Rowan Cheung

288,533 次观看 • 1 年前

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning
1:11

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,827 次观看 • 1 年前

Today, we’re excited to launch Attention Labs. For almost 400,000 years, humanity has progressed through a simple but powerful cycle: we learn, we build, and we pass knowledge forward. Every major leap in civilization, from fire to medicine to computing, has expanded what humans are capable of achieving. We believe AI is the next great tool in that journey. While much of the world is focused on how AI can replace human work, we are focused on a different question: How can AI amplify human potential? At Attention Labs, we are building AI to discover brain-enhancing therapeutics, solve neurocognitive diseases, and accelerate the discovery of medicines for the human mind. We believe the greatest opportunity for AI is not creating a world with fewer humans in the loop, but a world where every human can think more clearly, learn faster, create more boldly, and live more fully. The biggest source of alpha in the age of AI will not come from replacing people. It will come from empowering them. Our mission is simple: Make humans the most intelligent entity on Earth. The future belongs to those who amplify human intelligence, not those who seek to replace it. We're just getting started. Attention Labs
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Today, we’re excited to launch Attention Labs. For almost 400,000 years, humanity has progressed through a simple but powerful cycle: we learn, we build, and we pass knowledge forward. Every major leap in civilization, from fire to medicine to computing, has expanded what humans are capable of achieving. We believe AI is the next great tool in that journey. While much of the world is focused on how AI can replace human work, we are focused on a different question: How can AI amplify human potential? At Attention Labs, we are building AI to discover brain-enhancing therapeutics, solve neurocognitive diseases, and accelerate the discovery of medicines for the human mind. We believe the greatest opportunity for AI is not creating a world with fewer humans in the loop, but a world where every human can think more clearly, learn faster, create more boldly, and live more fully. The biggest source of alpha in the age of AI will not come from replacing people. It will come from empowering them. Our mission is simple: Make humans the most intelligent entity on Earth. The future belongs to those who amplify human intelligence, not those who seek to replace it. We're just getting started. Attention Labs

Temi

37,046 次观看 • 1 个月前

A Bittensor subnet just outscored Claude and Cursor on the SWE benchmark. They spent less than $1 million to get there. Anthropic spent billions. I sat down with Mark Jeffrey, one of the most connected people in the Bittensor ecosystem, and he broke down everything. Here's what most people don't know about TAO. Bittensor takes Bitcoin's mining concept and makes it programmable. Instead of solving meaningless hash puzzles, miners compete on real AI tasks. Best freelancer wins. Blockchain pays them. No company. No CEO. No permission needed. Bitcoin did this for energy. Bittensor does it for talent. The numbers are wild: • Ridges (Subnet 62) built a Claude/Cursor competitor for under $1M • Miners on Ridges were earning $50K per day at peak • The Bittensor network has 128 subnets, each like its own AI startup • Mark says 20-30 of them could become multi-billion dollar companies • Only 20% of TAO is staked in subnets right now • Stakers are earning up to 80% yield on some subnets Mark has been in crypto since 2013. He was in the Ethereum ICO. He's seen every cycle. His take: Bittensor is the most important thing to happen in crypto since Ethereum. He calls TAO the "third great coin" alongside Bitcoin and ETH. The comparison to early Bitcoin is hard to ignore. TAO just had its first halving in December. Same 21 million supply cap. Same post-halving setup. When Bitcoin went through this phase, it jumped from $250 to $10,000. Mark's conservative target for TAO by end of 2026: $3,000. But the real insight was about demand. More subnets means more TAO gets locked up. Subnet cap going from 128 to 256. Staking will absorb most of the supply. And AI agents need crypto to transact. They can't open bank accounts. Bittensor is building the rails for that. Jensen Huang just talked about Templar, a Bittensor subnet, on stage. This isn't theoretical anymore. People are using this stuff. The products on Bittensor are 10 to 100x better than what we saw in early Ethereum. And we're still early.
0:37

A Bittensor subnet just outscored Claude and Cursor on the SWE benchmark. They spent less than $1 million to get there. Anthropic spent billions. I sat down with Mark Jeffrey, one of the most connected people in the Bittensor ecosystem, and he broke down everything. Here's what most people don't know about TAO. Bittensor takes Bitcoin's mining concept and makes it programmable. Instead of solving meaningless hash puzzles, miners compete on real AI tasks. Best freelancer wins. Blockchain pays them. No company. No CEO. No permission needed. Bitcoin did this for energy. Bittensor does it for talent. The numbers are wild: • Ridges (Subnet 62) built a Claude/Cursor competitor for under $1M • Miners on Ridges were earning $50K per day at peak • The Bittensor network has 128 subnets, each like its own AI startup • Mark says 20-30 of them could become multi-billion dollar companies • Only 20% of TAO is staked in subnets right now • Stakers are earning up to 80% yield on some subnets Mark has been in crypto since 2013. He was in the Ethereum ICO. He's seen every cycle. His take: Bittensor is the most important thing to happen in crypto since Ethereum. He calls TAO the "third great coin" alongside Bitcoin and ETH. The comparison to early Bitcoin is hard to ignore. TAO just had its first halving in December. Same 21 million supply cap. Same post-halving setup. When Bitcoin went through this phase, it jumped from $250 to $10,000. Mark's conservative target for TAO by end of 2026: $3,000. But the real insight was about demand. More subnets means more TAO gets locked up. Subnet cap going from 128 to 256. Staking will absorb most of the supply. And AI agents need crypto to transact. They can't open bank accounts. Bittensor is building the rails for that. Jensen Huang just talked about Templar, a Bittensor subnet, on stage. This isn't theoretical anymore. People are using this stuff. The products on Bittensor are 10 to 100x better than what we saw in early Ethereum. And we're still early.

Jesus Martinez

73,314 次观看 • 3 个月前

Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️
1:39

Revolutionizing Bladder Cancer Diagnosis with ZayaAI We heard you Zayans, From our last videos we understood you all want a much easier to understand explanation of our AI models. So let's dive into the latest breakthrough in AI-powered healthcare, our Bladder Cancer Detection Model. This isn't just another AI tool, it's a game-changer for pathologists. Precision, Speed and Seamless Integration: Traditional diagnosis of urothelial carcinoma (bladder cancer) is often slow and prone to errors. Our AI model automatically detects low and high-grade tumors, along with lymphovascular invasion, with unmatched accuracy and speed. That means faster results, fewer mistakes and a more efficient workflow for medical professionals. Why This Matters: 1.Faster Diagnoses → AI speeds up the process, allowing pathologists to focus on critical cases. 2.Higher Accuracy → Reduces human error and reliance on costly, time-consuming tests. 3.Seamless Integration → No need for complex system overhauls. ZayaAI fits right into existing workflows. The Future of AI in Healthcare: Embracing our AI models isn’t just about using new technology, it’s an investment in a future where healthcare is more precise, efficient and patient-focused. Pathologists get to make faster, more informed decisions and ultimately, patient outcomes improve. This is how AI is redefining medical diagnostics and can help save lives. DeSci + AI = $ZAI ! 🔬⚕️

ZayaAI

18,015 次观看 • 1 年前

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption
0:44

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption

Dr Ola Brown

83,394 次观看 • 1 年前

India AI Impact Summit is about many stories on indigenous innovations and achievements. It is a marquee event for display of present and future AI technologies at international level. Each such story is a testament to India's growing AI ecosystem. There are hundreds of stalls displaying futuristic tech being developed in India. From ground zero, I covered the innovations shaping India's AI future. BharatGen AI: Building foundational models in all 22 official Indian languages. ParadigmIT's Sovereign AI Box: Strengthening data security and aligning with the IndiaAI Mission. Skye Air Mobility: 3.6 million autonomous deliveries and 1,000+ tonnes of CO₂ saved. I brought forward stories that matter: Tarakram Maram's AI Trainer Machine, democratizing AI education. Frontier Markets which is empowering rural women entrepreneurs through AI. Drublet Innovation Private Limited, Founded by two students, Agniva and Aaditya, pushing the boundaries of autonomous navigation and robotics. I also explored state pavilions like Bihar's, interacted with international delegations, and highlighted how startups across India are solving real, local challenges with AI. As a journalist on the ground, my focus was simple: bringing the stories of innovation, impact, and aspiration to the viewers. The AI Summit also displays various budding innovations from startups like Sarvam to presence of Indian tech giants like HCL, Airtel, Tata. Top names in the field of AI from across the world like an NVIDIA, Google, OpenAI and many more have also lined up to participate in the Summit. One story about Galgotia University which seemed to go wrong is just an isolated droplet of an otherwise vast reservoir of innovation and future ready technology. If 1 out of hundreds of exhibitors wasn’t being upfront about their innovation, I would not give up on the entire India’s youth who are very innovative. Would you also trash the entire India story just because of one episode? For all tech enthusiasts and those interested in the future of AI, the Summit is a vibrant opportunity to understand how India is at the forefront of the AI revolution. Do visit! #IndiaAISummit2026 #IndiaAIMegaEvent #IndiaForAI #IndiaAIImpactSummit2026 #IndiaAISummit2026 #IndiaAIExpo #ViksitBharat
2:52

India AI Impact Summit is about many stories on indigenous innovations and achievements. It is a marquee event for display of present and future AI technologies at international level. Each such story is a testament to India's growing AI ecosystem. There are hundreds of stalls displaying futuristic tech being developed in India. From ground zero, I covered the innovations shaping India's AI future. BharatGen AI: Building foundational models in all 22 official Indian languages. ParadigmIT's Sovereign AI Box: Strengthening data security and aligning with the IndiaAI Mission. Skye Air Mobility: 3.6 million autonomous deliveries and 1,000+ tonnes of CO₂ saved. I brought forward stories that matter: Tarakram Maram's AI Trainer Machine, democratizing AI education. Frontier Markets which is empowering rural women entrepreneurs through AI. Drublet Innovation Private Limited, Founded by two students, Agniva and Aaditya, pushing the boundaries of autonomous navigation and robotics. I also explored state pavilions like Bihar's, interacted with international delegations, and highlighted how startups across India are solving real, local challenges with AI. As a journalist on the ground, my focus was simple: bringing the stories of innovation, impact, and aspiration to the viewers. The AI Summit also displays various budding innovations from startups like Sarvam to presence of Indian tech giants like HCL, Airtel, Tata. Top names in the field of AI from across the world like an NVIDIA, Google, OpenAI and many more have also lined up to participate in the Summit. One story about Galgotia University which seemed to go wrong is just an isolated droplet of an otherwise vast reservoir of innovation and future ready technology. If 1 out of hundreds of exhibitors wasn’t being upfront about their innovation, I would not give up on the entire India’s youth who are very innovative. Would you also trash the entire India story just because of one episode? For all tech enthusiasts and those interested in the future of AI, the Summit is a vibrant opportunity to understand how India is at the forefront of the AI revolution. Do visit! #IndiaAISummit2026 #IndiaAIMegaEvent #IndiaForAI #IndiaAIImpactSummit2026 #IndiaAISummit2026 #IndiaAIExpo #ViksitBharat

Tapas Bhattachary

25,088 次观看 • 4 个月前

“AI won’t take people’s jobs. Other people who know how to use AI will” - Jensen Huang, NVIDIA CEO ​ Jensen Huang said the quiet part out loud: AI revolution isn't about robots taking jobs. It's about people with AI taking jobs from people without AI. ​ Why this matters more than it seems: We're fixated on the wrong question: 'Will AI replace me?' Right question: 'How do I use AI to become irreplaceable?' ​ Real life examples: ​ Junior developer with Copilot, supervised by Senior dev, can write Senior-level code ​ Marketer with AI generates content like entire department ​ Analyst with Claude conducts research like team of 5 ​ This isn't 'AI does work for you'. It's 'AI enables you to do 10x more'. ​ But here's uncomfortable truth: most people use AI at 5% capacity. ChatGPT for writing emails is like using supercomputer as calculator. ​ Real moat in AI era: ​ Ability to define tasks (prompting is the new coding) Ability to verify results (critical thinking > ever) Ability to combine AI tools (stack of AIs = superpower) ​ Huang gave us warning. Those who heard - already learning. Others will wonder why they got replaced by 22-year-old kid with right AI stack. ​ The race is on. But between humans who adapt and those who don't.
0:20

“AI won’t take people’s jobs. Other people who know how to use AI will” - Jensen Huang, NVIDIA CEO ​ Jensen Huang said the quiet part out loud: AI revolution isn't about robots taking jobs. It's about people with AI taking jobs from people without AI. ​ Why this matters more than it seems: We're fixated on the wrong question: 'Will AI replace me?' Right question: 'How do I use AI to become irreplaceable?' ​ Real life examples: ​ Junior developer with Copilot, supervised by Senior dev, can write Senior-level code ​ Marketer with AI generates content like entire department ​ Analyst with Claude conducts research like team of 5 ​ This isn't 'AI does work for you'. It's 'AI enables you to do 10x more'. ​ But here's uncomfortable truth: most people use AI at 5% capacity. ChatGPT for writing emails is like using supercomputer as calculator. ​ Real moat in AI era: ​ Ability to define tasks (prompting is the new coding) Ability to verify results (critical thinking > ever) Ability to combine AI tools (stack of AIs = superpower) ​ Huang gave us warning. Those who heard - already learning. Others will wonder why they got replaced by 22-year-old kid with right AI stack. ​ The race is on. But between humans who adapt and those who don't.

Rezo🛡₿RRR

50,818 次观看 • 1 年前