OB1x @ob1xai

UC Berkeley researchers created a new genomic language AI model, GPN-Star, that far outpaces its competitors at identifying genetic variants that impact human health — while only using a fraction of the computing resources needed to train larger models. bit.ly/4A9xXn8

what if our notes behaved like force fields? a conceptual demo of shaping ideas by gesture: - draw a thread, the notes fields shape the ideas on the thread - focus on one idea, move the surrounding fields closer or farther and see how it changes

The world of R&D is forking into two paths: the token-abundant research, and the token-starved research. The future is in the former - evidentially, the progress by today's top AI industry teams and neolabs is breathtaking, where researchers’ human brilliance is super charged by AI’s assistance. Every research university president should be reading this report and reflecting on what the future of higher education research should be. openai.com/index/research…

"Our feeds shouldn't value confrontational engagement over complementary content, nor should they obsequiously feed us only content we agree with. They should strike a balance and mend social disagreements rather than make them worse." Stanford HAI Senior Fellow Michael Bernstein on X's "For You" algorithm: hai.stanford.edu/news/your-for-…

Introducing Arm Total Design for Physical AI — bringing an inital 80+ companies together around a shared goal to accelerate physical AI from development to deployment. One of the first initiatives is a Robotics Capability Framework, creating a common language for defining increasingly intelligent and capable robotic systems. The next frontier for AI is the physical world. We’re helping the ecosystem get there faster. okt.to/dQ3xMC

Highlighting the Sandia Science & Technology Park’s local economic impact on this Labor Day 💵 Over 27 years, the park’s companies have paid $8.6 billion in wages and generated nearly 6,600 jobs, according to a recent analysis. ➡️ bit.ly/4cy20L1

>be dr. fei-fei li >born in beijing, raised in chengdu >dad moves to new jersey, follow at age 16 >speak almost no english >parents open a dry cleaner >work the counter on weekends >get into princeton on a full scholarship >study physics, because why not >caltech phd >everyone in AI is obsessed with algorithms >bet on data instead >"this will never scale" they say >do it anyway >get 14 million images hand-labeled >a team from toronto trains a convnet on it in 2012 >error rate falls off a cliff >deep learning era begins >become stanford professor >become google cloud chief scientist >found stanford HAI >press starts calling you the godmother of AI >2024, most of the field is racing on language >you say the next frontier is spatial intelligence >co-found World Labs in 2024 >ship Atlas in 2026, a model that turns a few photos into a whole 3D world

a16z @a16z

2 weeks ago

World Labs co-founders Fei-Fei Li, Justin Johnson, Ben Mildenhall, and a16z's Martin Casado on Atlas, a world model for spatial intelligence: LLMs are built on next token prediction. Video models are built on next frame prediction. Atlas is built on new view prediction, and it's

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@BenMildenhall working with you all is a dream and a goal.

@BenMildenhall This is exciting.

absolute 360

World Labs co-founder Justin Johnson on how five photos from your phone could teach a robot to work in a room it has never seen: "I think there's a couple different tech trees that people are working on. One is this notion of fully in-context learning. Maybe I've got a robotics foundation model, then I can demonstrate to the robot once how a task should be performed, and that's enough for the robot to figure out that task." "Another version is what we're calling real-to-sim-to-real. Maybe I've got my pre-trained robotics foundation model, but I want to adapt it to this particular environment." "Like this studio... You could come in here and take just a couple casual videos with your phone or a couple images with your phone, use Atlas to reconstruct the space, and now stage all kinds of robotics interactions in this studio space in particular." "Literally you could do it in five minutes. Take five photos, upload it to Atlas, have it generate a simulation, describe in natural language what kind of task you want the robot to do, have an agent go build that simulation for you, RL fine-tune your general purpose robotics foundation model, and now you've got a robot... that's perfectly adapted to this space." @jcjohnss on @MTSlive

World Labs @theworldlabs

3 weeks ago

Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.

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World Labs co-founder Justin Johnson says Atlas can recreate the famous "Bullet Time" shot from The Matrix with iPhones: "The way they did that shot is they had a ring of hundreds of cameras. [Neo] fell over in the studio, they had hundreds of cameras viewing that angle on a green screen, and then they used those hundreds and hundreds of cameras to make that famous shot in The Matrix." "Now with Atlas, we can do this with as few as three cameras. No studio capture, no green screen, no expensive calibration. We can literally stick three iPhones on tripods and use these to take video of something happening." "From those three iPhone videos, we can then reframe the shot and imagine, like, freeze time, have the camera fly in as the milk is splashing up, and get these amazing frozen-time views. We can do this with just a couple cameras." @jcjohnss

a16z @a16z

2 weeks ago

World Labs co-founders Fei-Fei Li, Justin Johnson, Ben Mildenhall, and a16z's Martin Casado on Atlas, a world model for spatial intelligence: LLMs are built on next token prediction. Video models are built on next frame prediction. Atlas is built on new view prediction, and it's

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@LinkedInHelp @sounavasarkar 72 days. Still restricted, still no response through email, the official verification form. @LinkedInHelp, at this point I'd just like acknowledgment that a human is looking at this.

@drfeifei @theworldlabs Congratulations to the team and @drfeifei

We pre-trained Atlas from scratch to take multimodal inputs, including camera movement, and turn it into 3D grounded views. Atlas puts you in control: direct the views, reconstruct real spaces with your inputs, and build explorable worlds. Read more: worldlabs.ai/blog/atlas

By positioning multiple input views within the model's spatial context, Atlas allows you to generate image and video frames with precise control. Here, we hand-designed a camera trajectory to generate a 1 minute video at 1440p resolution from seven reference images.

@theworldlabs Yes. Spatial Intelligence let's GO!

@LinkedInHelp Please help. I kindly request for a review to my account. I have also reached out thru DMs. Please let me know if you have an update. Thank you.

Check out this new exhibition premiering at the Worth Ryder Art Gallery! The exhibition Hidden Layers: AI Infrastructures and Hallucinations brings together 17 international artists and researchers to make visible what AI keeps out of sight. ischool.berkeley.edu/events/2026/ex…

WebMCP by Microsoft and Google is HERE and I'm surprised more people aren't talking about it. Why does it matter? BILLIONS of dollars are about to move through agents, and the internet isn't built for them yet. 1. SEO was about Google understanding your page. 2. AEO was about AI citing you. 3. WebMCP is about the agent actually finishing the job (buying, researching, requesting quote etc). WebMCP is basically websites with agent buttons. Instead of an agent scanning a page like a human, screenshotting and guessing where to click, the site just tells it "here's how to search, here's how to book, here's how to buy." 2 cash flowing businesses you could start today using WebMCP: 1. A WebMCP conversion agency Make boring business websites agent-ready. Law firms, HVAC, med spas, dentists. Build them the first tools (request a quote, book a consult), sell the setup for $2k, then charge a few hundred a month to monitor and improve it. 2. An agent mystery shopper. Test whether agents can actually complete the important journeys on someone's site, buying the hoodie, booking the consult, filing the claim. Hand them a report on where the agent got stuck, missing tools, bad descriptions, lost conversions. Charge monthly, then turn the repeated fixes into software. Full episode on @startupideaspod with @hot_town below youtu.be/EoNH3Tn8wYE?si… You'll learn what WebMCP really is, see examples of it IN ACTION, and hear more about 2 startup ideas using WebMCP you can start today. WebMCP is pretty cool. Watch.