iFeeling Daily
Daily curated AI insights you can't miss.
Anthropic’s Interpretability Research: Inside the Mission to Understand LLMs
Anthropic's Interpretability team is systematically opening the black box of LLMs, using mechanistic interpretability, natural language autoencoders, and circuit tracing to make AI safety tractable. Their multidisciplinary work is turning vague fears into concrete, auditable understanding.
Expanding Project Glasswing
Project Glasswing has expanded from 50 to 200 partners using Claude Mythos Preview to scan codebases, finding over 10,000 critical vulnerabilities. With Mythos-class models expected from many AI companies within 6-12 months, the bottleneck is shifting from finding flaws to patching them at massive scale.
Shared ASP.NET Machine Keys Enable RCE in KnowledgeDeliver LMS
Mandiant details how hardcoded ASP.NET machine keys in KnowledgeDeliver LMS allowed unauthenticated RCE and subsequent Cobalt Strike infections. Essential reading for anyone running ASP.NET applications with shared secrets.
OpenAI’s Research Chief on Scaling Laws, o1, and the Evals Crisis
Mark Chen, OpenAI's Chief Research Officer, discusses scaling laws, the reasoning bet behind o1, the evals crisis, and how OpenAI allocates compute to pursue AGI. The conversation covers developing research taste, long-context learning, and why pre-training remains critical for frontier progress.