CL • Le Cong
140 posts
@lecong
Building AI4Science Foundation Models and AI Agents for Biomedicine, Accelerating the Engineering of Life, on Earth, on Mars, and Beyond!
The hardest part of AI in science is the "last mile" This brilliant open source GitHub repository from Stanford and Princeton researchers is giving you a way to automate the boring parts of science. With it, you can basically tell an AI agent: "Go find this gene sequence in the NCBI database, run a fold analysis, and write a summary of the clinical trials associated with it." Because of these 211 "skills," the agent knows which buttons to push and which APIs to call to do that entire workflow autonomously. If you're tracking the "AI Scientist" space, the stack is starting to look like this: a reasoning core, a skill library like LabClaw, and an execution layer like LabOS. It’s a very clean, production-grade architecture.
Advanced Machine Intelligence (AMI) is building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe. We’ve raised a $1.03B (~€890M) round from global investors who believe in our vision of universally intelligent systems centered on world models. This round is co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions, along with other investors and angels across the world. We are a growing team of researchers and builders, operating in Paris, New York, Montreal and Singapore from day one. Read more: amilabs.xyz AMI - Real world. Real intelligence.
Thrilled to announce alphagenome-pytorch, an accurate, readable, and careful port of AlphaGenome's architecture and weights to PyTorch. Work with @gtcaa @m_kjellberg @chriswzou @tuxinming as part of the GenomicsxAI initiative between @anshulkundaje and @pkoo562 labs.
Thrilled to announce alphagenome-pytorch, an accurate, readable, and careful port of AlphaGenome's architecture and weights to PyTorch. Work with @gtcaa @m_kjellberg @chriswzou @tuxinming as part of the GenomicsxAI initiative between @anshulkundaje and @pkoo562 labs.
We’re thrilled to open-source LabClaw — the Skill Operating Layer for LabOS by Stanford-Princeton Team One command turns any OpenClaw agent into a full AI Co-Scientist. Demo: labclaw-ai.github.io Dragon Shrimp Army reporting for duty 🦞🔬 #AIforScience #OpenClaw
