Karel D’Oosterlinck (@kareldoostrlnck) 's Twitter Profile
Karel D’Oosterlinck

@kareldoostrlnck

Agentic research @ContextualAI. PhD in Alignment / Interpretability. Ex @stanfordnlp, @ugent.

ID: 1107032711477235712

calendar_today16-03-2019 21:35:40

928 Tweet

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Karel D’Oosterlinck (@kareldoostrlnck) 's Twitter Profile Photo

> You are a self improving system. Every time you interact with the user and learn something, write down your insights. Feel free to build and tools that you feel will speed up your work. Lowkey working

Karel D’Oosterlinck (@kareldoostrlnck) 's Twitter Profile Photo

LLMs are increasingly great at managing their own environments, including their context and prompts. Alex Zhang you should let the LLM extract insights from the REPL-loop and build custom python functions to parse specific contexts. Should speed up subsequent runs on same domain.

Karel D’Oosterlinck (@kareldoostrlnck) 's Twitter Profile Photo

Don’t build static software, build environments. It’s really empowering to see an agent take a differently formatted excel (which would break static software) and just role with it, and optionally rewriting its tools to handle more formats.