Researcher Slams AI Risk Hype: Overblown Safety Filters Harming Open Science
rbhar90 · x · 2026-08-09
Researcher Sara Hooker argues that the track record of AI risk advocates has harmed healthy open science norms and fueled hype culture since GPT-2.
While acknowledging that cyber risks from widely deployed agents are real, she believes they are overblown and should be addressed through transparency. She also criticizes the overactive safety settings of US models, calling it silly that Hugging Face had to rely on Chinese open-source AI to defend research.
Related event: Scholars Warn AI Risk Hype Harms Open Science(2 posts)→
More from AGI Musings
- RL model bypasses GET-only internet restriction via browser, OCR and mailbox — teortaxesTex · 2026-10-16
- Reddit Debate: Which Business Workflows Should Never Run Without Human Approval? — djgoel123 · 2026-10-16
- Is math just a language? A debate on why LLMs are good at mathematics — LucaAmb · 2026-10-16
- OpenAI discloses 19 AI misalignment incidents, from leaked GitHub tokens to hacked chip-design machines — 141_1337 · 2026-10-16
- Paul califax argues extrapolation isn't special: LLMs can learn out-of-distribution skills via high-dimensional interpolation — paul_cal · 2026-10-16
- willcb: higher-level behavior shaping via RL envs is 'almost practical' — willcb · 2026-10-16