Workshop Labs is joining @thinkymachines.
We believe there's a path for AI to make humans matter more. We couldn’t be prouder to join Thinking Machines to see this work through.
Letting a provider see all your data is the price of admission for AI. We're changing that.
Introducing Silo, the first private post-training and inference stack for frontier models, with hardware-level guarantees that we can’t see your data.
Privacy without compromises. 🧵
Introducing Trellis for Kimi K2 Thinking.
It's post-training code that's 50x faster than the best single-node open-source version and 2x cheaper than training APIs.
After safety testing, we're open-sourcing it, giving builders the best tools to customize a frontier model.
🧵
Open weights isn't open training.
@AddieF38654 on our team wrote up her experience trying to post-train a 1T parameter MoE model using the existing open source infra.
Let's find out how many monkey-patches it takes to post-train an open-weights model. A thread🧵