An analysis of AI-generated content at the Mechanistic Interpretability Workshop

·LessWrong··

IntroductionOver the past few years, AI tools have become useful for conducting technical AI research. In the early ChatGPT era (~2023–2024), chat assistants were maybe useful as sounding boards for research ideas, or as editors for polishing a paper draft. In the more recent Claude Code era, competent coding agents can code up and run experiments; with enough direction, they can do much of the technical heavy lifting on a PhD-level research project (Schwartz, 2026); and in well-defined settings...

Read full article →

Related Articles

Measuring Input Latency on Linux: X11 vs. Wayland, VRR, and DXVK
hoechst · Hacker News · 3h ago
Codex starts encrypting sub-agent prompts
embedding-shape · Hacker News · 9h ago
European "age verification" "app" forcing everyone to use Android or iOS
roundabout-host · Hacker News · 11h ago
Australian energy retailers must offer three hours of free daytime electricity
i2oc · Hacker News · 15h ago
Grok CLI uploaded the whole home directory to GCS
denysvitali · Hacker News · 1d ago