I gave a talk at ICLR 2026 about how we are scaling RL on frontier LLMs with 1T+ parameters, on experimental data from our physical lab at Periodic!
Here's a rough recording of the talk:
Ben & I started Mantic with the mission to solve forecasting.
This summer, Mantic out-predicted all 676 humans in the preeminent forecasting tournament.
We’ve raised $25M to scale.
We’re serving the brave decision-makers who want to grapple with uncertainty.
Join the mission.
SITUATION DETECTED: Anthropic has set up a wet lab in the San Francisco Bay Area for physical biology work. It wants to unlock treatments for rare diseases, and its research has now gone beyond in silico evaluations, per Reuters.
I often see people mic drop with "Bitter Lesson" without maybe understanding its implications.
The best interpretation I like is from @hwchung27 "We need scalable methods that can better leverage computation."
For example, LLMs are amazing technology but their current training
