Tyler Golato

@vincentweisser legends!

👨‍🍳

@johannes_hage huge ambiance

you met the PI research team at a very French time in their life

@vincentweisser @eliebakouch inspiring!

Blessed to work with the absolute dream team, and to have our favorite people in AI join us - welcome @eliebakouch 🙌

@EIiasNajarro permutation city!

3D particle life running on browser using WebGPU/WGSL - najarro.science/pl

hiring call for a very specific role: "research product engineer" DM if this is you: - have a background in front-end/web dev, highly opinionated about design, ideally have product experience at a fast-growth startup - have some experience building with + for agents - have interest in / exposure to modern ai research topics (e.g. you follow model releases + benchmarks, are "on ai twitter", occasionally read papers, roughly know how LLMs work, can explain the difference between pretraining and RL) - high-agency + have a personal project/portfolio i can look at - are open to in-person in SF - are excited about the mission of democratizing AI research you'll have a high degree of ownership in shaping the evolution of the UX for our Lab platform. the bar for the role is high, we want someone excellent.

@owl_posting in my experience, these kinds of cycles have quite a bit of inertia, made worse by wanting to change them. the only thing I found effective was to genuinely stop caring/thinking about it, which for me meant no more tracking + spending an hour each night reading before bed

im yo-yo'ing back between 5.5 hours of sleep for 3 days, 7.5 hours of sleep for 1 day, and then repeat i have discussed this at length with claude and am doing basically all its supplement + most of its lifestyle recommendations. what else do i do? do i buy an 8sleep?

@WillManidis thank you for this incredible piece, Will we all yearn for the sacred whether we realize it or not

a billion scientists are born - everyone with their own lab. very excited for this future

@vincentweisser congrats!! so cool to see this come together

Excited to launch Lab — the full stack for training your own models Unifying RL environments, hosted training, and evals into one platform Going from research to optimized model without infra headaches

@johannes_hage congrats, this is incredible

Introducing Lab. More companies should be able to own their model <> product optimization loop. If every company had access to frontier model capabilities and the post-training infrastructure that is currently locked behind the walls of the big labs, we would see far more progress. We would see many more ChatGPT or Claude Code level product experience breakthroughs across every area of economically valuable knowledge work. This is what we've built Lab for. It lowers the barrier to running the full post-training lifecycle, from large scale agentic RL to inference and evaluation, without having to manage the underlying infrastructure. Starting today, you can use the same infrastructure we use to train our own open frontier models, in a simple and accessible way. Hosted Training lets you run RL experiments in your own environments across many small and large open-source models. We are launching with support for agentic RL with multi tenant LoRA, built on top of our prime-rl training library. Support for SFT and dedicated deployments for full fine tuning are coming soon. Over time, Lab will serve as our platform to productionize all our research initiatives and make them accessible to anyone. If you are an AI Company, and you seek to have an AI Lab, you now have one.

@manveerxyz wow

wrote the entire product manifesto stream-of-conscious on a random saturday night a few months ago here it is now, almost verbatim Lab is the culmination of months of incredibly talented engineering, contentious product design, and a belief that we can shape the future of AI

@PrimeIntellect Incredible!

Introducing Lab: A full-stack platform for training your own agentic models Build, evaluate and train on your own environments at scale without managing the underlying infrastructure. Giving everyone their own frontier AI lab.

@manveerxyz !!!

launch days always have such special energy

New preprint with @GiovanniPezzulo : arxiv.org/abs/2602.08079 Bootstrapping Life-Inspired Machine Intelligence: The Biological Route from Chemistry to Cognition and Creativity "Achieving advanced machine intelligence remains a central challenge in AI research, often approached through scaling neural architectures and generative models. However, biological systems offer a broader repertoire of strategies for adaptive, goal-directed behavior - strategies that emerged long before nervous systems evolved. This paper advocates a genuinely life-inspired approach to machine intelligence, drawing on principles from biology that enable robustness, autonomy, and open-ended problem-solving across scales. We frame intelligence as flexible problem-solving, following William James, and develop the concept of cognitive light cones to characterize the continuum of intelligence in living systems and machines. We argue that biological evolution has discovered a scalable recipe for intelligence - and the progressive expansion of organisms' "cognitive light cone", predictive and control capacities. To explain how this is possible, we distill five design principles - multiscale autonomy, growth through self-assemblage of active components, continuous reconstruction of capabilities, exploitation of physical and embodied constraints, and pervasive signaling enabling self-organization and top-down control from goals - that underpin life's ability to navigate creatively diverse problem spaces. We discuss how these principles contrast with current AI paradigms and outline pathways for integrating them into future autonomous, embodied, and resilient artificial systems."

@owl_posting always excited to read your research!

Heuristics for lab robotics, and where its future may go (8.4k words, 38 minutes reading time) owlposting.com/p/heuristics-f… this is the longest article i have ever written. in it, i discuss the three ideologies of lab robotics progress, why they may all converge on the same business model, whether any of it will be actually helpful for the problems that plague drug discovery the most, and more this article involved discussions with sixteen people over the course of three weeks, and i am very grateful to them for answering the many questions i had about a field that i had long considered alien finally: this is a complicated field that is really still being birthed, so please let me know if i got anything wrong

@timrpeterson think it's a good point if we are talking about LLMs trained on existing data but I think learning from experience (AlphaGenome, AlphaFold, for example) is where things change

@GolatoTyler maybe the problem is that unlike human language, molecular language isn't shared well

Probably someone has made this point before: English language has been around for a thousand years. Molecular language has been around for a hundred. It will take a lot more wet lab experiments to make AI useful for biology. The results it gives now are the equivalent to a young kid's command of the english language.

@BecomingCritter god or cybernetics, but I also enjoy @drmichaellevin's argument that its behavioral science all the way down

Is there a secret science that bridges all science?