Today is a hard day. I shared this note with the @linear team today: We’ve made the difficult decision to increase our workforce. This is not a cost-cutting exercise or a reflection of anyone’s performance. We’re simply reimagining every role for the agentic AI era. We’re hiring. We’re sorry about that.
@litcapital There are different explanations… after next Gemini model releases watch the coding performance… also I believe that last Claude had pretty big jumps in image right?
For those living under a rock: LLMs stopped becoming smarter around summer 2025.
Everything impressive you see since then is about finetuning them for specific tasks (mainly coding and software-tool-based task solving) and building tooling around them (such as agentic coding systems).
@eliebakouch Isn’t this expected? I mean you don’t need long cot to refine and plan the response - bigger model will be definitely more effective - less noise - information goes trough more params 🤷
@scaling01 Given how big Google internal repo is I guess they will have plenty of static data as well - not counting data brokers. I guess that user interactions are good for rlhf, the alpha is their rl-vr env - honestly I think here it is again about how much compute you allocate