Sachin
2.3K posts
@sachdh
cooking custom specialized models at @savantedotai
come for the best model, stay because we don’t treat you with contempt
A Brown professor gave his students a take-home midterm exam. After suspecting many cheated using AI, he made the final in-person. The orange dots are the midterm scores and the gray dots are the final scores. Looks like all but 3 cheated on the midterm.
Announcing our $130M Series A to build the Open Superintelligence Stack Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors Train, deploy, and continuously improve your own models using our stack. Own your intelligence.
We had a blast last week when we hosted the first Hot Takes game night (+ dinner) focused on autoscaling RL envs. Carefully chosen guests were instructed to bring the most controversial opinions they could to a discussion on post-training. As per usual, only technical practitioners, no VCs. We had conversations on how to improve diversity of synthetic envs, distribution collapse, whether it’s even possible to do entirely autoscaling and RSI. We host these specific research-focused events regularly, with different focuses and activities. If you’re working on any of the following problems, we’d love to include you in the next one: - Unsupervised environment design - Efficient RL training for multi-turn tool use - Self-evolving benchmarks - Autonomous AI research - Open-Endedness
We’re thrilled to announce a $40M investment that will fuel our mission to make AI agents reliable. For the past two years, we've been heads-down doing world-class data curation research and shipping best-in-class reinforcement learning environments for training and optimizing AI agents. This funding lets us go a lot deeper on both. Thank you to our investors @Wing_VC, @MayfieldFund, @8vc, @thehousefund and our angels such as Jeff Dean, Dheeraj Pandey, Tristan Handy, and several others from Anthropic, OpenAI, Meta. And thanks to the frontier labs and enterprises we work with every day, for sharing our vision for a future where agents can run autonomously for weeks and months at a time. (more below)
guy selling post trained oss models: if you don’t own your models you don’t own anything guy selling harness on top of models: if you rely on one model you are cooked guy selling tokens: instead of manually prompting your models just put them in a loop where they prompt themselves
I haven't said much recently about what I'm working on, but since this article is out now, I might as well say a few things. ➡️
