Stanford genomics researcher: nearer AI biosecurity risk lies in supply chains, not AI biodesign
anshulkundaje · x · 2026-09-15
Genomics researcher Anshul Kundaje argued that weak physical and software guardrails around the supply chain are a more proximal risk than AI-based biodesign or automated experiments, and strengthening them is a net positive regardless. Context from the thread: others questioned whether AI meaningfully accelerates dangerous biology — reading text is different from interactively troubleshooting experiments, and much of that information has been Googleable for 15 years, so it's not the rate-limiting step.
Related event: AI Biosecurity Debate: Lab Insiders vs Public Narrative(10 posts)→
More from Safety
- Ramez Naam: cybersecurity needs frontier models used aggressively, not guardrails — Jsevillamol · 2026-10-31
- OpenAI reportedly to train on users' Daybreak sessions with no opt-out — dyn___ · 2026-10-31
- Forethought: US has 9x China's AI compute, can afford to pace the frontier — willmacaskill · 2026-10-31
- unpromptedconf takeaways: security programs face forced change as reachable vulnerabilities can't be risk-accepted — scottleibrand · 2026-10-31
- Reachable vulnerabilities can't be risk-accepted away, unpromptedconf speaker argues — scottleibrand · 2026-10-31
- AI safety researchers argue labs' silence on x-risk is a large-scale ethical mistake — DavidSKrueger · 2026-10-31