#interpretability
2 articles
The Reasoning Transcript Is a User Interface, Not an X-Ray
Reasoning models can produce persuasive accounts of how they reached an answer. Treating those accounts as faithful evidence of internal computation is a category error with consequences for evaluation, debugging, and safety.
The Next Bottleneck in AI Is Measurement, Not Model Size
For a decade, frontier AI advanced by making models bigger, data piles deeper, and hardware clusters wider. The harder problem now is proving what these systems can actually do, where they fail, and whether their reasoning can be trusted when they operate beyond the toy benchmarks that made them famous.