I had my O-1 approved 👽🇺🇸 Excited to keep working with my best friends @freesolo in San Francisco! Thanks @0xSigil and everyone else who helped.

Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting started on what diffusion can do for language.

2 weeks ago, Brett Adcock posted a public browser agent challenge; the website contained 30 steps and had to be solved in under 5 minutes. The first thing that stood out to me was that I only got to step 8 in 5 minutes, a far cry from 30 minutes. Any agent that can complete this would surely have to be ‘superhuman’. In addition, no frontier model was able to solve this, so, in some sense, any solution also needs to 'push the frontier' on this particular challenge. As it turns out, traditional post training (RL) was not the best solution to this problem instead a recursive DSPy policy pushed GPT OSS 120B from being unable to complete step 1 to finishing all 30 in 4:10 minutes (10x faster than Sonnet 4.6). Wrote a blog detailing this below.