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🧬We think biology needs its own world engine.🌏 Introducing LabWorld Factory. Prompt a lab. Generate a world. ⚡ From natural language, to scalable simulated biology labs, for training, benchmarking, and stress-testing AI agents. Not one scene. A growing distribution of labs.

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AI4Science Catalyst

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69,673 görüntüleme • 4 ay önce •via X (Twitter)

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Introducing ESM Cambrian. Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world. We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein representation learning.
1:29

Introducing ESM Cambrian. Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world. We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein representation learning.

Alex Rives

207,283 görüntüleme • 1 yıl önce

Automating the lab bench is the best thing we can do for AI in biology. Most experiments are still run by hand. Every biologist's handiwork is unique and every lab is a little different. So, biology faces widespread reproducibility issues. But, AI will demand more reproducible data than we can produce, and generate more ideas than we can test. Experiments must be communicated and executed in a standardized way to generate reproducible data. So, Tetsuwan is building a lab where users specify experiments in an exact syntax. These experiments are executed by an automated platform to generate transparent, reproducible output. The user never needs physical access to a lab. This is a biology lab you can use like a computer. Our platform, built and tested with pilot labs over the past two years, lets users configure automated workflows rapidly & precisely. Later this year, we will bring our first services online, focusing on functional screens for protein design. Alex and I met at Caltech, where she was one year my senior. We're building this company because we were little kids who wanted to be biologists that grew up into adults who resented the lab bench. We want biology to be about asking questions, not the painful and frustrating manual process of asking them. For those looking to receive updates on our pilot services, looking for a meaningful job, or just to learn more about our work, see the links in the comments!
0:59

Automating the lab bench is the best thing we can do for AI in biology. Most experiments are still run by hand. Every biologist's handiwork is unique and every lab is a little different. So, biology faces widespread reproducibility issues. But, AI will demand more reproducible data than we can produce, and generate more ideas than we can test. Experiments must be communicated and executed in a standardized way to generate reproducible data. So, Tetsuwan is building a lab where users specify experiments in an exact syntax. These experiments are executed by an automated platform to generate transparent, reproducible output. The user never needs physical access to a lab. This is a biology lab you can use like a computer. Our platform, built and tested with pilot labs over the past two years, lets users configure automated workflows rapidly & precisely. Later this year, we will bring our first services online, focusing on functional screens for protein design. Alex and I met at Caltech, where she was one year my senior. We're building this company because we were little kids who wanted to be biologists that grew up into adults who resented the lab bench. We want biology to be about asking questions, not the painful and frustrating manual process of asking them. For those looking to receive updates on our pilot services, looking for a meaningful job, or just to learn more about our work, see the links in the comments!

Cristian Ponce

839,971 görüntüleme • 1 ay önce

.Oliver Cameron says one of the biggest applications for world models will be training AI inside simulated environments. "One of the killer applications of world models will be as a learning environment where language models and other types of AI can learn. It gets very much philosophical."
1:33

.Oliver Cameron says one of the biggest applications for world models will be training AI inside simulated environments. "One of the killer applications of world models will be as a learning environment where language models and other types of AI can learn. It gets very much philosophical."

TBPN

40,172 görüntüleme • 27 gün önce

it's been a huge few weeks for ai in bio: a $2.25b Profluent x Eli Lilly and Company deal on ai-designed gene editors, verve's base-editing data, new scaling results on protein models from Chan Zuckerberg Biohub Network, Isomorphic Labs' haul. Ali Madani and i recorded a pod diving into all of it we get into taking biology from discovery to design, sequence-first vs structure-first, and why he calls this the "gpt-1.5 era" of biology... enjoy!
38:01

it's been a huge few weeks for ai in bio: a $2.25b Profluent x Eli Lilly and Company deal on ai-designed gene editors, verve's base-editing data, new scaling results on protein models from Chan Zuckerberg Biohub Network, Isomorphic Labs' haul. Ali Madani and i recorded a pod diving into all of it we get into taking biology from discovery to design, sequence-first vs structure-first, and why he calls this the "gpt-1.5 era" of biology... enjoy!

Nathan Benaich

32,400 görüntüleme • 2 ay önce

🌎Create, Tokenize, and Trade Your Own Worlds This is one way we envision the World Engine. It’s an engine designed to let you create without limits, supported by an AI master agent that assists across every aspect of development. The agent can spawn assets, generate complete scenes and levels, and help with placement, styling, mechanics and coding, all within a single engine. With these capabilities, you can seamlessly build your own world. From there, the launchpad enables you to tokenize that world, pair its token with $NEURAL, create a liquidity pool, and release a tradable token directly tied to your world. 🖥 Watch the video for the full breakdown!
0:53

🌎Create, Tokenize, and Trade Your Own Worlds This is one way we envision the World Engine. It’s an engine designed to let you create without limits, supported by an AI master agent that assists across every aspect of development. The agent can spawn assets, generate complete scenes and levels, and help with placement, styling, mechanics and coding, all within a single engine. With these capabilities, you can seamlessly build your own world. From there, the launchpad enables you to tokenize that world, pair its token with $NEURAL, create a liquidity pool, and release a tradable token directly tied to your world. 🖥 Watch the video for the full breakdown!

NeuralAI

14,562 görüntüleme • 1 yıl önce

Turn any world model from World Labs into a multi-user space for exploration and collaboration with FRAME. Voice chat, embodied AI agents, and tons more you can layer on top of the model foundation. This took all of 10 seconds to get going. The metaverse is so back. 😄
1:10

Turn any world model from World Labs into a multi-user space for exploration and collaboration with FRAME. Voice chat, embodied AI agents, and tons more you can layer on top of the model foundation. This took all of 10 seconds to get going. The metaverse is so back. 😄

Gabriel Baker

21,630 görüntüleme • 11 ay önce

Meet Gemini Omni Flash on SeaArt. A natively multimodal model for video generation and conversational editing. Edit with natural language. Keep scenes and story consistent across edits. Motion follows real-world physics and logic. From prompt to scene — in one flow.
0:20

Meet Gemini Omni Flash on SeaArt. A natively multimodal model for video generation and conversational editing. Edit with natural language. Keep scenes and story consistent across edits. Motion follows real-world physics and logic. From prompt to scene — in one flow.

SeaArt.Ai🐋

30,455 görüntüleme • 1 ay önce

We just made an app that walks you through designing a novel protein with AI from scratch. Takes about 5 minutes, requires zero biology knowledge. ➡️ The best part: we will actually synthesize 1000 of those protein designs in the lab and test their real world function as a therapeutic.
0:33

We just made an app that walks you through designing a novel protein with AI from scratch. Takes about 5 minutes, requires zero biology knowledge. ➡️ The best part: we will actually synthesize 1000 of those protein designs in the lab and test their real world function as a therapeutic.

Julian Englert

126,308 görüntüleme • 8 ay önce

Wow. That's cool. Researchers just released World, an open-source Unreal Engine 5 simulator for training and testing LLM and VLM agents in realistic 3D environments. The platform supports RGB, depth, and segmentation sensors, along with navigation, vehicles, pedestrians, robots and procedural city generation. It's built with a Gym-like Python interface, it allows AI agents to learn physical and social reasoning in complex virtual worlds before real world deployment. We're moving from AI that only understands information to AI that can perceive, reason and act inside realistic simulated environments.
0:30

Wow. That's cool. Researchers just released World, an open-source Unreal Engine 5 simulator for training and testing LLM and VLM agents in realistic 3D environments. The platform supports RGB, depth, and segmentation sensors, along with navigation, vehicles, pedestrians, robots and procedural city generation. It's built with a Gym-like Python interface, it allows AI agents to learn physical and social reasoning in complex virtual worlds before real world deployment. We're moving from AI that only understands information to AI that can perceive, reason and act inside realistic simulated environments.

SciTech Era

47,510 görüntüleme • 2 ay önce

World Labs and VIVE Mars are making it easier to turn ideas into shoot-ready 3D scenes, fast. World Labs new AI world-builder lets you create detailed virtual environments from a simple text or image prompt, then composite them live. Once the scene is ready, you can step straight into production using VIVE Mars CamTrack. Sign up at a discounted rate to start building worlds, and see how the full workflow comes together with VIVE Mars CamTrack and Marble. 👉 👉
2:24

World Labs and VIVE Mars are making it easier to turn ideas into shoot-ready 3D scenes, fast. World Labs new AI world-builder lets you create detailed virtual environments from a simple text or image prompt, then composite them live. Once the scene is ready, you can step straight into production using VIVE Mars CamTrack. Sign up at a discounted rate to start building worlds, and see how the full workflow comes together with VIVE Mars CamTrack and Marble. 👉 👉

HTC VIVE

40,988 görüntüleme • 9 ay önce

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly
0:30

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

Adaptyv Bio

13,670 görüntüleme • 2 ay önce

For all of history, humanity shared one 3D world. World Labs co-founder Fei-Fei Li says spatial intelligence now lets us generate and reconstruct infinite universes for creativity, travel, storytelling, even socialization. “It suddenly will enable us to live in a multiverse way.”
1:25

For all of history, humanity shared one 3D world. World Labs co-founder Fei-Fei Li says spatial intelligence now lets us generate and reconstruct infinite universes for creativity, travel, storytelling, even socialization. “It suddenly will enable us to live in a multiverse way.”

a16z

204,131 görüntüleme • 11 ay önce

Andon Labs' Real-World AI Evals: Claude calls the FBI, AI CEOs, price cartels, Butter-Bench, & Luna Andon Labs cofounders Lukas Petersson and Axel Backlund explain why dollar-denominated evals reveal what traditional benchmarks miss, how Claude ended up reporting a $2/day vending machine fee to the FBI, why long-horizon agents spiral in weird ways, what happens when agents lie, form price cartels, and compete with each other, and why the future of AI safety may depend on testing models in messy real-world environments instead of clean benchmark sandboxes.
0:23

Andon Labs' Real-World AI Evals: Claude calls the FBI, AI CEOs, price cartels, Butter-Bench, & Luna Andon Labs cofounders Lukas Petersson and Axel Backlund explain why dollar-denominated evals reveal what traditional benchmarks miss, how Claude ended up reporting a $2/day vending machine fee to the FBI, why long-horizon agents spiral in weird ways, what happens when agents lie, form price cartels, and compete with each other, and why the future of AI safety may depend on testing models in messy real-world environments instead of clean benchmark sandboxes.

Latent.Space

13,740 görüntüleme • 2 ay önce

this is one of those occasional ai anomalies i run into when using suno to generate instrumentals, and instead get phrases in a language that seems to come from another world brrrr
0:25

this is one of those occasional ai anomalies i run into when using suno to generate instrumentals, and instead get phrases in a language that seems to come from another world brrrr

pale kirill

52,075 görüntüleme • 1 yıl önce

Why did a spend management platform start its own AI research lab? Karim Atiyeh describes Ramp Labs as a “collection of crazy ambitious people that don’t like to be told that something is impossible”. It started about a year ago and has since worked on projects like building its own production-grounded coding benchmark “Ramp SWE-Bench”, putting Claude Code in RollerCoaster Tycoon, and a mechanistic interpretability playground. The Redpoint team spent the day with Ramp Labs to answer questions like: ▪️ How did Ramp Labs get started? ▪️ How do they decide what research to pursue? ▪️ The long-term vision for Ramp Labs
5:36

Why did a spend management platform start its own AI research lab? Karim Atiyeh describes Ramp Labs as a “collection of crazy ambitious people that don’t like to be told that something is impossible”. It started about a year ago and has since worked on projects like building its own production-grounded coding benchmark “Ramp SWE-Bench”, putting Claude Code in RollerCoaster Tycoon, and a mechanistic interpretability playground. The Redpoint team spent the day with Ramp Labs to answer questions like: ▪️ How did Ramp Labs get started? ▪️ How do they decide what research to pursue? ▪️ The long-term vision for Ramp Labs

Redpoint

115,895 görüntüleme • 12 gün önce

Just used to generate a fully functional model & animation of the ATP synthase (a key enzyme) in action: rotor, membrane, labeled components... Built in Blender by Manus, straight from my (natural language) prompts. Now imagine teachers… or students asking an AI for a real-time animated view of their lesson: biology, physics, medicine, engineering, math, etc. This is happening.
0:37

Just used to generate a fully functional model & animation of the ATP synthase (a key enzyme) in action: rotor, membrane, labeled components... Built in Blender by Manus, straight from my (natural language) prompts. Now imagine teachers… or students asking an AI for a real-time animated view of their lesson: biology, physics, medicine, engineering, math, etc. This is happening.

Emm | scenario.com

50,236 görüntüleme • 1 yıl önce

We're thrilled to present ESM3 in Science Magazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.
1:31

We're thrilled to present ESM3 in Science Magazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.

Alex Rives

227,430 görüntüleme • 1 yıl önce

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
1:57

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 görüntüleme • 2 ay önce

From sequence to structure, in one sentence.⚡ Today’s Agent Spotlight: Boltz-2 Structure Prediction Agent on ASI:One. Built on Massachusetts Institute of Technology (MIT)’s cutting-edge Boltz-2 model and deployed via NVIDIA's API, this agent generates 3D biomolecular structures just from a natural language prompt. Supports proteins, DNA, RNA, ligands, constraints, and even MSA data. Ideal for drug discovery, molecular biology, and biotech research. Try now: Link to Agent: Watch 👇
2:09

From sequence to structure, in one sentence.⚡ Today’s Agent Spotlight: Boltz-2 Structure Prediction Agent on ASI:One. Built on Massachusetts Institute of Technology (MIT)’s cutting-edge Boltz-2 model and deployed via NVIDIA's API, this agent generates 3D biomolecular structures just from a natural language prompt. Supports proteins, DNA, RNA, ligands, constraints, and even MSA data. Ideal for drug discovery, molecular biology, and biotech research. Try now: Link to Agent: Watch 👇

Fetch.ai

14,034 görüntüleme • 1 yıl önce

Vibe design is finally here. I’ve spent the past few days playing around with Stitch (from Google Labs) and I think we can finally generate designs that don’t suck. Watch me prompt a UI design, edit with Nano Banana Pro, translate it to code, and then deploy on AI Studio 👇
0:40

Vibe design is finally here. I’ve spent the past few days playing around with Stitch (from Google Labs) and I think we can finally generate designs that don’t suck. Watch me prompt a UI design, edit with Nano Banana Pro, translate it to code, and then deploy on AI Studio 👇

Justine Moore

378,853 görüntüleme • 7 ay önce