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Introducing Simile. Simulating human behavior is one of the most consequential and technically difficult problems of our time. We raised $100M from Index, Hanabi, A* BCV, Andrej Karpathy Fei-Fei Li Adam D'Angelo Guillermo Rauch scott belsky among others.

Joon Sung Park

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Language models process data as one-dimensional sequences of tokens — ideal for text, but limited for understanding the physical world. In contrast, spatial intelligence embraces a 3D representation, unlocking a deeper understanding of space and time. More from martin_casado's interview with Fei-Fei Li and Justin Johnson:

Language models process data as one-dimensional sequences of tokens — ideal for text, but limited for understanding the physical world. In contrast, spatial intelligence embraces a 3D representation, unlocking a deeper understanding of space and time. More from martin_casado's interview with Fei-Fei Li and Justin Johnson:

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📁 Fei-Fei Li, one of the most influential AI scientists in the world, argues that common sense is not as mysterious as we think. Much of it is already encoded in language, distilled through thousands of years of human communication. When an AI places the sun at the top of a drawing, it does not need deep physics, it is learning shared patterns. In her view, common sense can be learned, and in many ways an AI is not so different from a five year old child.

📁 Fei-Fei Li, one of the most influential AI scientists in the world, argues that common sense is not as mysterious as we think. Much of it is already encoded in language, distilled through thousands of years of human communication. When an AI places the sun at the top of a drawing, it does not need deep physics, it is learning shared patterns. In her view, common sense can be learned, and in many ways an AI is not so different from a five year old child.

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World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

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Fei-Fei Li ( Fei-Fei Li ) beautifully explains Robotics. She defines robotics not by form, like humanoids or cars, but by function: they are any "embodied machines" that must perceive, understand, and act within a physical, 3D space. This core requirement is "spatial intelligence," the unifying principle of all robotics, allowing them to perform tasks and even collaborate with humans. Throughout all of human history, we have been confined to a single, shared reality: the "physical Earth 3D world." This singularity has been our only playground. However, new technologies that combine 3D generation and reconstruction are shattering this limitation. We can now create "infinite universes"—a multiverse of digital worlds for countless purposes, from training robots to enabling creativity, travel, and storytelling. This leap from one physical world to an infinite multiverse unlocks boundless possibilities for human imagination and interaction. Video from a16z

Fei-Fei Li ( Fei-Fei Li ) beautifully explains Robotics. She defines robotics not by form, like humanoids or cars, but by function: they are any "embodied machines" that must perceive, understand, and act within a physical, 3D space. This core requirement is "spatial intelligence," the unifying principle of all robotics, allowing them to perform tasks and even collaborate with humans. Throughout all of human history, we have been confined to a single, shared reality: the "physical Earth 3D world." This singularity has been our only playground. However, new technologies that combine 3D generation and reconstruction are shattering this limitation. We can now create "infinite universes"—a multiverse of digital worlds for countless purposes, from training robots to enabling creativity, travel, and storytelling. This leap from one physical world to an infinite multiverse unlocks boundless possibilities for human imagination and interaction. Video from a16z

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Fei-Fei Li ( Fei-Fei Li ) beautifully explains Robotics. She defines robotics not by form, like humanoids or cars, but by function: they are any "embodied machines" that must perceive, understand, and act within a physical, 3D space. This core requirement is "spatial intelligence," the unifying principle of all robotics, allowing them to perform tasks and even collaborate with humans. Throughout all of human history, we have been confined to a single, shared reality: the "physical Earth 3D world." This singularity has been our only playground. However, new technologies that combine 3D generation and reconstruction are shattering this limitation. We can now create "infinite universes"—a multiverse of digital worlds for countless purposes, from training robots to enabling creativity, travel, and storytelling. This leap from one physical world to an infinite multiverse unlocks boundless possibilities for human imagination and interaction. Video from a16z

Fei-Fei Li ( Fei-Fei Li ) beautifully explains Robotics. She defines robotics not by form, like humanoids or cars, but by function: they are any "embodied machines" that must perceive, understand, and act within a physical, 3D space. This core requirement is "spatial intelligence," the unifying principle of all robotics, allowing them to perform tasks and even collaborate with humans. Throughout all of human history, we have been confined to a single, shared reality: the "physical Earth 3D world." This singularity has been our only playground. However, new technologies that combine 3D generation and reconstruction are shattering this limitation. We can now create "infinite universes"—a multiverse of digital worlds for countless purposes, from training robots to enabling creativity, travel, and storytelling. This leap from one physical world to an infinite multiverse unlocks boundless possibilities for human imagination and interaction. Video from a16z

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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

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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:

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Meta is paying $100M signing bonuses to steal AI engineers - Anthropic got Karpathy anyway. Andrej Karpathy moved from Slovakia to Toronto at 15 wanted to do quantum computing got bored, switched to AI now he's building the next Claude at Anthropic here's his story: > studied under Geoffrey Hinton - the Godfather of AI > PhD at Stanford under Fei-Fei Li - she taught him how to think > coined the term "vibe coding" - guiding AI instead of writing code > one of the founding members of OpenAI > Elon Musk personally recruited him to lead Tesla Autopilot AI > now on Anthropic's pre-training team - teaching Claude how to understand the world in 2012 he wrote: "we are very, very far, this depresses me" 10 years later he's one of the people building the systems he thought were impossible Meta reportedly offers OpenAI engineers $100M signing bonuses to switch sides and even Karpathy tweeted: "I've never felt this much behind as a programmer" the AI race is moving so fast even the people building it can't keep up

Meta is paying $100M signing bonuses to steal AI engineers - Anthropic got Karpathy anyway. Andrej Karpathy moved from Slovakia to Toronto at 15 wanted to do quantum computing got bored, switched to AI now he's building the next Claude at Anthropic here's his story: > studied under Geoffrey Hinton - the Godfather of AI > PhD at Stanford under Fei-Fei Li - she taught him how to think > coined the term "vibe coding" - guiding AI instead of writing code > one of the founding members of OpenAI > Elon Musk personally recruited him to lead Tesla Autopilot AI > now on Anthropic's pre-training team - teaching Claude how to understand the world in 2012 he wrote: "we are very, very far, this depresses me" 10 years later he's one of the people building the systems he thought were impossible Meta reportedly offers OpenAI engineers $100M signing bonuses to switch sides and even Karpathy tweeted: "I've never felt this much behind as a programmer" the AI race is moving so fast even the people building it can't keep up

hammertime

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Andrej Karpathy and Fei Fei Li both did nearly 10 YEARS of higher education before eventually founding Eureka Labs and World Labs. If you have attended major AI conferences like ICML, ICLR, or NeurIPS recently, you will see that there is a huge shift of researchers pivoting to start companies, and a vast amount of VCs who now find deal flow from these conferences. It was interesting to sit down with Ajay Joshi, who did his postdoc at MIT, is a current professor and is now starting his own company, Ciphersonic. Presented with Cerebras // Alycia Cary

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I asked Fei-Fei Li how far we are from AI with the everyday capability of humans. The omelet, the laundry folding, the basketball. First she answered like a scientist: "I never know what's 100%." Then the range: not 100 years, maybe not even 50, and not one year either. Her goal is to get there in her lifetime.

I asked Fei-Fei Li how far we are from AI with the everyday capability of humans. The omelet, the laundry folding, the basketball. First she answered like a scientist: "I never know what's 100%." Then the range: not 100 years, maybe not even 50, and not one year either. Her goal is to get there in her lifetime.

Marina Mogilko

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World Labs CEO Dr. Fei-Fei Li explains says "world model" has become an overloaded term & explains what each kind of world model does: "Right now there are three ways of calling world models when it comes to spatial intelligence." "One is what I call a renderer, when the model puts beautiful pixels on the screen." "Another kind of world model is what we call a planner. That is more for machines, more for robots." "The third kind, which I think is the linchpin of the three, is a simulator." "A simulator could become a renderer. The simulator could become a planner. But this layer is a huge critical path to unlock spatial intelligence. And that's what World Labs is working on." Fei-Fei Li at Bloomberg Tech live with Emily Chang

World Labs CEO Dr. Fei-Fei Li explains says "world model" has become an overloaded term & explains what each kind of world model does: "Right now there are three ways of calling world models when it comes to spatial intelligence." "One is what I call a renderer, when the model puts beautiful pixels on the screen." "Another kind of world model is what we call a planner. That is more for machines, more for robots." "The third kind, which I think is the linchpin of the three, is a simulator." "A simulator could become a renderer. The simulator could become a planner. But this layer is a huge critical path to unlock spatial intelligence. And that's what World Labs is working on." Fei-Fei Li at Bloomberg Tech live with Emily Chang

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Lambda is a cloud designed for the age of AI. Today, we announced a $480M Series D co-led by Andra Capital and SGW with participation from NVIDIA, Andrej Karpathy, In-Q-Tel, ARK Invest, and others.

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From Mel Gibson: One of the most disturbing problems in our world today is human trafficking, and particularly, the trafficking of children. Our future is our children. Now, the first step in eradicating this crime is awareness. Go see Sound of Freedom.

From Mel Gibson: One of the most disturbing problems in our world today is human trafficking, and particularly, the trafficking of children. Our future is our children. Now, the first step in eradicating this crime is awareness. Go see Sound of Freedom.

Dom Lucre | Breaker of Narratives

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"From the bitter divisions of 250 years ago, we forged a friendship that has grown into one of the most consequential alliances in human history." — His Majesty King Charles III As we celebrate 250 years of independence, we honor the enduring bond and shared values between our two great nations.

"From the bitter divisions of 250 years ago, we forged a friendship that has grown into one of the most consequential alliances in human history." — His Majesty King Charles III As we celebrate 250 years of independence, we honor the enduring bond and shared values between our two great nations.

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Introducing Our Master Plan We are hardcore optimists, but we are not blind. Our world is inches away from being properly and royally fucked. There is only one answer. That answer is “Inventor Energy,” the human drive to come together, to build, and to solve hard problems. The story of our species is the story of Inventor Energy in the face of crisis. It’s time to write a new chapter. This is our Master Plan. Save the inventor, save the world.

The Invention Network

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🔩 Introducing Tana Input API One of the most requested problems we need to solve, according to our community is getting data into Tana from other sources. Today we are launching our first step towards a full API: Tana Input API.

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Tana

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Generalist AI has raised a $400M funding round at a ~$2B valuation, bringing the total amount raised since its founding to over $500M . Led by Radical Ventures, with new participation from 8VC, Union Square Ventures, Hanabi Capital, and Norwest. Existing backers NVIDIA's NVentures, Boldstart, Spark, Bezos Expeditions, and NFDG followed on. Notable angel additions: Fei-Fei Li, Naval Ravikant, and Xiaomi co-founder Bin Lin. Founded by alumni of OpenAI, Google DeepMind, and Boston Dynamics, the team is building foundation models that span humanoids, robot arms, mobile warehouse robots, and autonomous space systems. GEN-1 (April 2026) hit 99% reliability on diverse tasks and 3x faster execution than prior models. The new funding will help scale models, the data engine, compute, and commercial deployments.. GEN-1 model in action, fully autonomous:

The Humanoid Hub

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AI “godmother” Fei-Fei Li challenges those who fear an AI future: “Since the dawn of human civilization, we have been creating technologies meant for improving our lives…and yes, they also have negative consequences. Fires burn, cars have fatal crashes, printed books can spread lies, and even medicines meant for saving lives have fatal side effects… Yet it’s undeniable that technologies have contributed vastly to the modernization of our species. So today, I’m not here to argue AI is good or bad in a simple black-and-white manner… I want to advocate for a new framework of thinking about AI. It’s a framework where humans own our agency, dignity, and responsibility to ensure that AI is here to augment our capabilities, to live and work better.”

AI “godmother” Fei-Fei Li challenges those who fear an AI future: “Since the dawn of human civilization, we have been creating technologies meant for improving our lives…and yes, they also have negative consequences. Fires burn, cars have fatal crashes, printed books can spread lies, and even medicines meant for saving lives have fatal side effects… Yet it’s undeniable that technologies have contributed vastly to the modernization of our species. So today, I’m not here to argue AI is good or bad in a simple black-and-white manner… I want to advocate for a new framework of thinking about AI. It’s a framework where humans own our agency, dignity, and responsibility to ensure that AI is here to augment our capabilities, to live and work better.”

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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: Clay AI Harvey, Decagon, Mercor, 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

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🪽Trump honors Scott Adams at Celebration of Life🙏🇺🇸 "The world lost a great one this month when we lost Scott Adams. There was nobody like him. But Heaven gained a good heart, a brilliant mind and a very brave soul." "Scott was one of a kind, among the most interesting and original people and thinkers of our time." "I will never forget that Scott was with me from the very beginning ... And he was a loyal and true friend to all of us until the very end." "Scott, we love you, we miss you and we will never ever forget you. Thank you for everything — and everything you've done for me. And God bless the United States of America, which loves you so much." Daily Caller

🪽Trump honors Scott Adams at Celebration of Life🙏🇺🇸 "The world lost a great one this month when we lost Scott Adams. There was nobody like him. But Heaven gained a good heart, a brilliant mind and a very brave soul." "Scott was one of a kind, among the most interesting and original people and thinkers of our time." "I will never forget that Scott was with me from the very beginning ... And he was a loyal and true friend to all of us until the very end." "Scott, we love you, we miss you and we will never ever forget you. Thank you for everything — and everything you've done for me. And God bless the United States of America, which loves you so much." Daily Caller

Jason Cohen 🇺🇸

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