RichardMCNgo: Why you don't need to stay at AGI labs for safety
nitarshan · x · 2026-08-27
RichardMCNgo argues that AI safety researchers don't need to stay at top AGI labs like Anthropic, OpenAI, or DeepMind to do good work, gain influence, issue warnings, or implement guardrails. Key points include: scaling research can be done on public models; high-pressure environments kill creativity; warnings will soon be abundant; racing to beat 'bad guys' is part of the problem; and many are eager to replace those implementing short-term mitigations.
Related event: Ex-OpenAI's Richard Ngo: Lab Employees Should Refuse to Be Ideological Cogs(6 posts)→
More from AGI Musings
- NEJM AI editorial: sometimes the best clinical decision is to do less — AI and healthcare costs — zakkohane · 2026-10-15
- OpenAI gives $5M to Simons Foundation's $15M push to help mathematicians navigate AI-era results — OpenAI · 2026-10-15
- Game studios can sell privately hosted realistic games to AI labs as training environments — dejavucoder · 2026-10-15
- Retellings Use New Perspectives to Replace Romance with Therapeutic Diagnosis — eigenrobot · 2026-10-15
- CHI Reviewer: AI Slop Is Real, but Unusually Rigorous Papers Still Getting Through — IanArawjo · 2026-10-15
- ASML Sells Zero Lithography Machines into Europe as US Hosts 75%+ of AI Compute — NinaDSchick · 2026-10-15