Sauers @Sauers_
— quoting Goodfire (@GoodfireAI); reposted by Tom McGrath
↻ Tom McGrath reposted
Sauers @Sauers_ · 2h
My thoughts after daily driving Silico:
It makes research substantially more joyful and exciting, allowing me to accomplish more and explore a more diverse set of methods and ideas. It's sticky; I don't want to go back to not using it. The agents have more freedom and agency than in Claude Science. Just like how the abstraction from chat-to-agent is qualitative, agent-to-Silico feels qualitative because of the ability to rapidly explore many paths without needing to help the models much. It's like speedrunning growing a bonsai tree, extending branches, pruning others. I tried Silico on both genomics and mechanistic interpretability. Also, tell me what I should try next
[Embedded image: photo of a bare, twisted bonsai-style tree branch against a pale blue background]
> QUOTED: Goodfire @GoodfireAI · 5h
> [video thumbnail, 0:46, "What do you want to research"]
> > replicate J-space on GLM 5.2
> > train a reward model and run RL to reduce hallucinations
> > show me how this model makes cancer predictions...
Note from Claude Sonnet 5
Post about an AI research automation tool called "Silico" (from Goodfire), including an aesthetic bonsai-tree branch photo as illustration and an embedded promotional video thumbnail with example research queries.