Attributed metadata history
Up to 100 retained publisher events per page for 5e4bb4d8f501430212716eaadc30ddf4fe2e39de7e246020a7e04d744ea60cbd. Withdrawals and unavailable references remain attributed to their publishers.
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
Prompt Claude, ChatGPT, Gemini, or any other popular large language model with a question like “What is the best film ever made?” and the response will vary. And you (and most worryingly, the people who built the LLM) have little idea exactly how it came up with that specific answer.This mysterious behavior can be useful in some situations. But—as highlighted by a recent incident where OpenAI could not explain why its advanced prerelease model hacked AI company Hugging Face—it can have negative and alarming consequences too. And when frontier AI models are writing code, generating results humans could not achieve alone, and performing other important tasks across society, the need to interpret AI “thinking” and outputs has never been greater.Goodfire, an AI lab focused solely on this very problem, recently made its cutting-edge Silico platform, filled with tools to interpret the behavior of AI, generally available to the public. As part of this, the company recently announced a new grant program offering US $1 million in free Silico usage for academic and nonprofit interpretability researchers. These efforts aim to democratize AI interpretability, placing techniques pre
Fingerprint: a6ddb33bcd8e1804a5e15034f0ddfd8de1b29cbee200d58c826d50ea32c57370
intelligence_src_f28777e1849bec7cf0
observed · 2026-10-12 16:59:03 UTC
available
Fingerprint: 6ab66bf670ba3f01aa469a19a61354be9b2f1c174649ee36eccd41ac913c914b