A post on LessWrong argues that AI safety researchers, including the authors, often choose projects based on intuition rather than a deep understanding of the problems, potentially leading to less impactful work than a plausible alternative.
Summaries like this, in your inbox every morning.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Cammarata reinterprets InceptionV1's cat-car neuron as a V-shape detector, not two unrelated concepts
A Zenn contributor sorted AI use into three modes — AI as an assistant, AI running alongside people, and AI th…
A developer released agent-guardrails, a one-script Python standard-library plugin that guards Bash, Write, Ed…
A Qiita article compared automated red-teaming methods for LLM apps — GCG, PAIR, and TAP — using mock implemen…
In a webinar hosted by French Mathematical Society president Isabelle Gallagher, Fields Medal winner Hugo Dumi…
NVIDIA published a blog post titled "AI Security Is an Engineering Problem - How to Solve It at Every Layer of…
