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:
Excited to announce Gemini 4 Carbon, our next frontier model which is a step up from Argon across all capabilities! The benchmarks don't tell the full story -- we have been using it internally and it's been an upgrade for us.
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys
Fern’s architecture, training, and serving support up to 10M tokens of context. Next-token prediction keeps improving as context grows, all the way to 10M tokens.
Not sure if there's any recording for my CoLM talk but you can find the slides here. agarwl.github.io/slides/context…
Posting couple of slides which look directionally good (to me)
David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets could achieve superhuman performance for the first time.
He also has a unique intuition and knack for forecasting when things will happen in
