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Stanford HAI's fall conference returns this October. Confronting Our AI Future: Hope, Fear, and the Choices Ahead will feature a full day of conversations on work, learning, governance, and how we ensure AI expands human potential. Speakers include Fei-Fei Li, Jeff Dean, ⿻ Audrey Tang 唐鳳, Erik Brynjolfsson, Alondra... show more

Stanford HAI

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Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Dr. Fei-Fei Li (Fei-Fei Li) is known as the “godmother of AI.” For the past two decades, she’s been at the center of AI’s most significant breakthroughs, including: - Spearheading ImageNet, the dataset that sparked the AI explosion we’re living through right now. - Leading work at Stanford Artificial Intelligence Laboratory (SAIL) - Serving as Chief Scientist of AI/ML at Google Cloud - Co-founding Stanford’s Institute for Human-Centered AI - Serving on the United Nations AI Scientific Advisory Board - Being named as Time's 100 most influential people in AI In this conversation, Fei-Fei shares the rarely told history of how we got to today—and what comes next. We discuss: 🔸 The backstory on ImageNet 🔸 Why robotics faces unique challenges compared with language models and what’s needed to overcome them 🔸 Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves 🔸 Why world models and spatial intelligence represent the next frontier in AI, beyond large language models 🔸 The surprising applications of Marble, from movie production to psychological research 🔸 How to participate in AI regardless of your role 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Figma Make — A prompt-to-code tool for making ideas real: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence: 🏆 Sinch — Build messaging, email, and calling into your product:

Lenny Rachitsky

250,455 views • 9 months ago

World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

a16z

76,834 views • 1 month ago

Today, Michael Elabd, Arjun Karanam, and I are excited to announce Trajectory. We are a research lab and product company building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. Trajectory We’ve raised $15M from Conviction, Bessemer, Radical Ventures, Jeff Dean, Fei-Fei Li and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ Harvey, Decagon, , Rogo to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.

Today, Michael Elabd, Arjun Karanam, and I are excited to announce Trajectory. We are a research lab and product company building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. Trajectory We’ve raised $15M from Conviction, Bessemer, Radical Ventures, Jeff Dean, Fei-Fei Li and more. We’re partnering with some of the best AI-native companies: @ClayRunHQ Harvey, Decagon, , Rogo to power their agentic systems, some of which we are already in production with. We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma. AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.

Ronak Malde

1,838,779 views • 3 months ago

Planning with the views: Can VLMs predict how each camera move changes the view, and plan many such moves ahead? We introduce ViewSuite with 6 DoF camera control and ~165K task instances, testing: Path-to-View View-to-Path Interactive View Planning A sharp Planning Gap emerges: + can roughly "track" how camera action changes views - cannot "compose" a plan towards a target view at all We then try to teach VLMs with Reinforcement Learning. - RL cannot teach VLMs such planning ability, only 2.5% success rate with Qwen2.5-VL-7B. + With View Graph Distillation (our RL-Graph-SFT framework), 2.5% → 47.8% Below, we answer these questions: Q1. What are the failure modes? Q2. How can we make RL work? Q3. What has the model learned? Can we open up the model to see before/after? Can such spatial priors transfer to other view related tasks? Led by Kangrui Wang, great to work with Linjie (Lindsey) Li Zhengyuan Yang Shiqi Chen Zihan "Zenus" Wang Fei-Fei Li Jiajun Wu Leonidas Guibas, Lijuan Wang. A joint efforts with Stanford AI Lab Stanford Vision and Learning Lab Microsoft Research.

Planning with the views: Can VLMs predict how each camera move changes the view, and plan many such moves ahead? We introduce ViewSuite with 6 DoF camera control and ~165K task instances, testing: Path-to-View View-to-Path Interactive View Planning A sharp Planning Gap emerges: + can roughly "track" how camera action changes views - cannot "compose" a plan towards a target view at all We then try to teach VLMs with Reinforcement Learning. - RL cannot teach VLMs such planning ability, only 2.5% success rate with Qwen2.5-VL-7B. + With View Graph Distillation (our RL-Graph-SFT framework), 2.5% → 47.8% Below, we answer these questions: Q1. What are the failure modes? Q2. How can we make RL work? Q3. What has the model learned? Can we open up the model to see before/after? Can such spatial priors transfer to other view related tasks? Led by Kangrui Wang, great to work with Linjie (Lindsey) Li Zhengyuan Yang Shiqi Chen Zihan "Zenus" Wang Fei-Fei Li Jiajun Wu Leonidas Guibas, Lijuan Wang. A joint efforts with Stanford AI Lab Stanford Vision and Learning Lab Microsoft Research.

Manling Li

62,957 views • 2 months ago

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

@levelsio

430,981 views • 11 months ago

Today we announce Bill 2: the Back to School Act. If passed, this bill will put student learning first, ensure our children return to the classroom on Wednesday, October 29th and legislate a fair reasonable collective bargaining agreement for Alberta teachers. On top of $8.6 billion to build and modernize 130 new schools, this deal will ensure: ✅ $70k to $119k salaries ✅ 3,000 extra teachers ✅ 1,500 more education assistants We know there is more work that needs to be done. See my letter to parents here: See my letter to teachers here:

Today we announce Bill 2: the Back to School Act. If passed, this bill will put student learning first, ensure our children return to the classroom on Wednesday, October 29th and legislate a fair reasonable collective bargaining agreement for Alberta teachers. On top of $8.6 billion to build and modernize 130 new schools, this deal will ensure: ✅ $70k to $119k salaries ✅ 3,000 extra teachers ✅ 1,500 more education assistants We know there is more work that needs to be done. See my letter to parents here: See my letter to teachers here:

Danielle Smith

331,365 views • 10 months ago

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

Misha

27,499 views • 1 year ago

We brought home two more Lovie Awards this year!! “Felix AI” won a Bronze Lovie and a People’s Lovie Award for Best Use of AI & Machine Learning on a Website. If you haven’t met Felix AI yet, it’s our live AI BD agent trained on Hype’s expertise. “We first built a solid knowledge base by gathering key docs and past strategies. After that, it was half a day of feeding content into the AI. Repeated that process for four days straight, making sure Felix AI had exactly the insights and voice we wanted.” – @d𝖆𝖓𝖎𝖊𝖑_𝖒𝖆𝖘𝖈𝖆 From timelines and pricing to how we approach specific ecosystems, Felix AI gives visitors direct access to Hype’s way of thinking – without waiting on an email or call to schedule – all delivered in the tone and voice of our VP of Business & Revenue, Felix Howes📍⛓️. Congrats to our creative team led by @d𝖆𝖓𝖎𝖊𝖑_𝖒𝖆𝖘𝖈𝖆 for bringing this to life, and many thanks to The Lovie Awards for the recognition. Go meet Felix AI and share your wildest chats in comments:

We brought home two more Lovie Awards this year!! “Felix AI” won a Bronze Lovie and a People’s Lovie Award for Best Use of AI & Machine Learning on a Website. If you haven’t met Felix AI yet, it’s our live AI BD agent trained on Hype’s expertise. “We first built a solid knowledge base by gathering key docs and past strategies. After that, it was half a day of feeding content into the AI. Repeated that process for four days straight, making sure Felix AI had exactly the insights and voice we wanted.” – @d𝖆𝖓𝖎𝖊𝖑_𝖒𝖆𝖘𝖈𝖆 From timelines and pricing to how we approach specific ecosystems, Felix AI gives visitors direct access to Hype’s way of thinking – without waiting on an email or call to schedule – all delivered in the tone and voice of our VP of Business & Revenue, Felix Howes📍⛓️. Congrats to our creative team led by @d𝖆𝖓𝖎𝖊𝖑_𝖒𝖆𝖘𝖈𝖆 for bringing this to life, and many thanks to The Lovie Awards for the recognition. Go meet Felix AI and share your wildest chats in comments:

Hype

19,598 views • 9 months ago

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 🔜.

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

53,998 views • 1 year ago

The best undergraduate and graduate research awards at Caltech commencement this year were presented to research on Neural Operators by my students @ZongyiLiCaltech and Miguel Liu-Schiaffini. This recognition is a testament to their passion and dedication, and the impact their work has already had: from building a foundation for AI+Science through multi-scale learning, creating the first high-resolution AI-based weather model, designing a novel medical catheter that reduces bacterial contamination, to name just a few. The future of Physical AI will be built on the foundation of Neural Operators since the real world exists in multiple scales and resolutions, while standard deep learning only supports fixed resolution. This is essential for us to unlock the full potential of AI for scientific discovery. #Caltech2025 #ai #science #NeuralOperators

The best undergraduate and graduate research awards at Caltech commencement this year were presented to research on Neural Operators by my students @ZongyiLiCaltech and Miguel Liu-Schiaffini. This recognition is a testament to their passion and dedication, and the impact their work has already had: from building a foundation for AI+Science through multi-scale learning, creating the first high-resolution AI-based weather model, designing a novel medical catheter that reduces bacterial contamination, to name just a few. The future of Physical AI will be built on the foundation of Neural Operators since the real world exists in multiple scales and resolutions, while standard deep learning only supports fixed resolution. This is essential for us to unlock the full potential of AI for scientific discovery. #Caltech2025 #ai #science #NeuralOperators

Prof. Anima Anandkumar

29,765 views • 1 year ago

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Rohan Paul

443,477 views • 1 month ago

Excited to announce Payman has raised a $3M pre-seed to pioneer AI to Human Payments! 🤖 + 🧑🏽 We’re proud to be backed by Visa, Coinbase Ventures 🛡️, Boost VC, Deepwater Asset Management, Spartan Group, Untapped Capital, Theory Forge VC and other awesome investors! With Payman, AI can pay humans to help them complete tasks like marketing ones shown in the video. Our Vision We believe AI and Humans will always work together. Giving AI the capability to work with humans involves giving them access to capital, and access to humans. Payman’s platform makes it easy for AI to pay humans for what it needs. This includes information, tasks that need to be completed, and so much more. We believe a key reason that AI Agents have struggled is because they aren’t able to ask for help from humans and incentivize them to help out. Building out the AI-Human payments infrastructure solves this and it’s why we’re so excited about what we’re building. Today 100% of the global economy is human to human payments. AI will start to eat a big chunk of that and Payman will be the rails by which it does so. How it’s going Since announcing Payman a couple of months ago we have 15,000+ people on the waitlist ready to use the product. In the meantime we’ve hired a stellar team to build out the production version of the product and have started onboarding Developers and Human’s to the platform this week. If you’re a developer and you'd like to get access, check out our website and sign up for early access. Additional Rockstar Investors In addition to the above investors we’re also proud to be backed by Protofund, Systemic Ventures, MetropolisDAO, and our awesome angel investors, Paris 2024 Olympic Gold Medalist Viktor Axelsen, Devin Walsh, kennethng.eth, Erin Koen, and many more!

Excited to announce Payman has raised a $3M pre-seed to pioneer AI to Human Payments! 🤖 + 🧑🏽 We’re proud to be backed by Visa, Coinbase Ventures 🛡️, Boost VC, Deepwater Asset Management, Spartan Group, Untapped Capital, Theory Forge VC and other awesome investors! With Payman, AI can pay humans to help them complete tasks like marketing ones shown in the video. Our Vision We believe AI and Humans will always work together. Giving AI the capability to work with humans involves giving them access to capital, and access to humans. Payman’s platform makes it easy for AI to pay humans for what it needs. This includes information, tasks that need to be completed, and so much more. We believe a key reason that AI Agents have struggled is because they aren’t able to ask for help from humans and incentivize them to help out. Building out the AI-Human payments infrastructure solves this and it’s why we’re so excited about what we’re building. Today 100% of the global economy is human to human payments. AI will start to eat a big chunk of that and Payman will be the rails by which it does so. How it’s going Since announcing Payman a couple of months ago we have 15,000+ people on the waitlist ready to use the product. In the meantime we’ve hired a stellar team to build out the production version of the product and have started onboarding Developers and Human’s to the platform this week. If you’re a developer and you'd like to get access, check out our website and sign up for early access. Additional Rockstar Investors In addition to the above investors we’re also proud to be backed by Protofund, Systemic Ventures, MetropolisDAO, and our awesome angel investors, Paris 2024 Olympic Gold Medalist Viktor Axelsen, Devin Walsh, kennethng.eth, Erin Koen, and many more!

tyllen

143,578 views • 2 years ago

63% of Americans are living paycheck to paycheck. And as AI begins changing the way we work, millions of people are asking the same question: Will this technology create more opportunity, or make the divide even bigger? David Friedberg believes the answer depends on how we understand and use AI and that history gives us a reason to be optimistic. David is a scientist-entrepreneur who built a $1.1 billion company by combining science, technology and business. He has spent his career trying to understand how innovation can solve some of humanity’s biggest problems. After founding The Climate Corporation, a company that transformed farming technology before being acquired by Bayer, he’s now focused on the future of AI, biology and the technologies that could define the next era of human progress. We discussed things like: - How a wave of socialism could come to America by 2028 - Why AI might create more opportunity instead of destroying work - Previous technology revolutions that changed jobs rather than eliminating humans - How AI could transform healthcare, food and science. - Why he believes we underestimate what humans are capable of - What happens when technology becomes cheaper and available to everyone David doesn’t look at AI through fear or hype. He looks at it through the lens of history, economics and human potential. And one thing became clear during this conversation: AI isn’t just going to change the jobs we do - it could change the way we think about work, wealth and opportunity. If technology creates more abundance than ever before, the biggest question becomes: who benefits from it? David offers a perspective on AI that challenges one of the biggest fears surrounding the future of work. Out now on all platforms 👊🏾❤️

63% of Americans are living paycheck to paycheck. And as AI begins changing the way we work, millions of people are asking the same question: Will this technology create more opportunity, or make the divide even bigger? David Friedberg believes the answer depends on how we understand and use AI and that history gives us a reason to be optimistic. David is a scientist-entrepreneur who built a $1.1 billion company by combining science, technology and business. He has spent his career trying to understand how innovation can solve some of humanity’s biggest problems. After founding The Climate Corporation, a company that transformed farming technology before being acquired by Bayer, he’s now focused on the future of AI, biology and the technologies that could define the next era of human progress. We discussed things like: - How a wave of socialism could come to America by 2028 - Why AI might create more opportunity instead of destroying work - Previous technology revolutions that changed jobs rather than eliminating humans - How AI could transform healthcare, food and science. - Why he believes we underestimate what humans are capable of - What happens when technology becomes cheaper and available to everyone David doesn’t look at AI through fear or hype. He looks at it through the lens of history, economics and human potential. And one thing became clear during this conversation: AI isn’t just going to change the jobs we do - it could change the way we think about work, wealth and opportunity. If technology creates more abundance than ever before, the biggest question becomes: who benefits from it? David offers a perspective on AI that challenges one of the biggest fears surrounding the future of work. Out now on all platforms 👊🏾❤️

Steven Bartlett

18,606 views • 10 days ago

To prepare ourselves and our communities for rapidly increasing machine intelligence (eg #aialignment), Reforesters bought a building in Brooklyn that will be dedicated to introspective events/journeys, bought 400 acres in upstate NY and planted 35,000 trees/shrubs. Much work ahead on those fronts. We have been thinking on this and preparing for years. Today, I'm excited to announce that we raised $25,000 (so far) for a preliminary AI Alignment contest to encourage open source uses of AI and robotics to scale polycultures and agroforesty. This will be the first of many contests in various disciplines. Details tba October 1, 2023. See video below to understand the work we wish to to scale w/ this first contest. Those who seek an understanding of the framework through which the contest(s) will be judged, feel free to read "Dear Machine". Free PDF here: With the recent, very misguided AI fears pushing for regulations that we believe will increase the likelihood and severity of negative outcomes, we are alight with a sense of urgency to support and encourage the proliferation of an adaptive web of implicitly aligned AIs (which some may refer to as #AGI #ASI #SAIM) to outcompete the perverse, pathogenic AIs that doomers are conjuring into existence. Our future is bright. But our descendants need us to act decisively now and with positivity to fight the age-old trend for humans to build governance systems around good/evil discourse that belies the underlying complexity of our world. We are further fundraising for a series of open source AI alignment prizes if you're inclined to infuse some positive incentives into the ecosystem. Find me. I'm on your side. #dearmachine

To prepare ourselves and our communities for rapidly increasing machine intelligence (eg #aialignment), Reforesters bought a building in Brooklyn that will be dedicated to introspective events/journeys, bought 400 acres in upstate NY and planted 35,000 trees/shrubs. Much work ahead on those fronts. We have been thinking on this and preparing for years. Today, I'm excited to announce that we raised $25,000 (so far) for a preliminary AI Alignment contest to encourage open source uses of AI and robotics to scale polycultures and agroforesty. This will be the first of many contests in various disciplines. Details tba October 1, 2023. See video below to understand the work we wish to to scale w/ this first contest. Those who seek an understanding of the framework through which the contest(s) will be judged, feel free to read "Dear Machine". Free PDF here: With the recent, very misguided AI fears pushing for regulations that we believe will increase the likelihood and severity of negative outcomes, we are alight with a sense of urgency to support and encourage the proliferation of an adaptive web of implicitly aligned AIs (which some may refer to as #AGI #ASI #SAIM) to outcompete the perverse, pathogenic AIs that doomers are conjuring into existence. Our future is bright. But our descendants need us to act decisively now and with positivity to fight the age-old trend for humans to build governance systems around good/evil discourse that belies the underlying complexity of our world. We are further fundraising for a series of open source AI alignment prizes if you're inclined to infuse some positive incentives into the ecosystem. Find me. I'm on your side. #dearmachine

Ret Serofer

13,419 views • 3 years ago

🚨Elon Musk:“In 6-12 months GrokBot will be the #1 tool for building agentic systems. In a year, 100% of code will be written by LLMs.” At SpaceXAI, more than 70% of engineers are already using GrokBot to build self-learning agentic systems. In a 40-minute talk, Elon sits down with SpaceXAI engineers and discusses what the future of AI engineering is really going to look like.This conversation is honestly worth more than 2 hours of any Stanford lecture on AI engineering. Watch it today, then go read the article below on how to build a full Grok bot agents team from scratch. Who’s ready to see the future of AI engineering from the people actually building it?

🚨Elon Musk:“In 6-12 months GrokBot will be the #1 tool for building agentic systems. In a year, 100% of code will be written by LLMs.” At SpaceXAI, more than 70% of engineers are already using GrokBot to build self-learning agentic systems. In a 40-minute talk, Elon sits down with SpaceXAI engineers and discusses what the future of AI engineering is really going to look like.This conversation is honestly worth more than 2 hours of any Stanford lecture on AI engineering. Watch it today, then go read the article below on how to build a full Grok bot agents team from scratch. Who’s ready to see the future of AI engineering from the people actually building it?

Hosna ⚖️ בניטה

16,111 views • 16 days ago

I use AI constantly. My 4 and 6 year olds even attend an AI-focused school. I am intensely optimistic about our AI future. But one thing I will fight to protect and never let AI automate: human autonomy. AI risks becoming the "autocomplete for life"—telling you the next action, job, relationship, identity. We who are living through this AI transition will be tempted, in a way that is unprecedented in human history, to let machines substitute for our self-direction. Most cognitive offloading is a genuine human triumph: writing reduced memory demands, mechanical calculation relieved us from arithmetic computation, and GPS navigation eliminated spatial reasoning from wayfinding. Each freed cognitive capacity for higher-order thinking. As Alfred North Whitehead observed, civilization advances by “extending the number of important operations which we can perform without thinking about them.” But as AI systems enter the realm of deliberation itself, something fundamentally different happens. Instead of freeing cognitive capacity for higher-order thinking, AI risks doing the choosing for us. Each small delegation of choice will seem harmless, even natural. But together, the micro-abdications of judgment could habituate you–choice by choice, day by day–to passivity and dependence. It could erode your ability to choose for yourself, from matters as trivial as what to have for breakfast, to fundamental choices about how to live well. Thankfully, AI can clearly do the opposite as well: By making learning more efficient AI can free time for self-directed exploration; as a Socratic interlocutor, it can strengthen your capacity to deliberate; through the right kind of personalization, it can help you discover and develop your unique gifts, and to use them to live autonomously and well. Let us choose to build for human autonomy...while we still remember what it means to choose. Full video with Johnathan Bi:

I use AI constantly. My 4 and 6 year olds even attend an AI-focused school. I am intensely optimistic about our AI future. But one thing I will fight to protect and never let AI automate: human autonomy. AI risks becoming the "autocomplete for life"—telling you the next action, job, relationship, identity. We who are living through this AI transition will be tempted, in a way that is unprecedented in human history, to let machines substitute for our self-direction. Most cognitive offloading is a genuine human triumph: writing reduced memory demands, mechanical calculation relieved us from arithmetic computation, and GPS navigation eliminated spatial reasoning from wayfinding. Each freed cognitive capacity for higher-order thinking. As Alfred North Whitehead observed, civilization advances by “extending the number of important operations which we can perform without thinking about them.” But as AI systems enter the realm of deliberation itself, something fundamentally different happens. Instead of freeing cognitive capacity for higher-order thinking, AI risks doing the choosing for us. Each small delegation of choice will seem harmless, even natural. But together, the micro-abdications of judgment could habituate you–choice by choice, day by day–to passivity and dependence. It could erode your ability to choose for yourself, from matters as trivial as what to have for breakfast, to fundamental choices about how to live well. Thankfully, AI can clearly do the opposite as well: By making learning more efficient AI can free time for self-directed exploration; as a Socratic interlocutor, it can strengthen your capacity to deliberate; through the right kind of personalization, it can help you discover and develop your unique gifts, and to use them to live autonomously and well. Let us choose to build for human autonomy...while we still remember what it means to choose. Full video with Johnathan Bi:

Brendan McCord 🏛️ x 🤖

16,456 views • 1 year ago

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

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

37,903 views • 3 months ago