Tag
Briefings and ideas about Hallucinations from AI podcast discussions and the research they cite, with links to the original sources.
Goodfire researcher Eric Bigelow resampled a GPT-3.5 model's reasoning at every token and saw answers collapse at single tokens, some arbitrary. He argues the "decision" happens in sampling; newer reasoning models often fork more smoothly.
Alex Wissner-Gross said Sonnet 5.5's 70% Terminal-Bench score is no better value per attempt than Opus 5.5; Anthropic's charts put the savings at lower effort settings. He said Gemini 4 Argon stands out mainly on avoiding hallucinations.
Investor Dave Blundin argues Meta's Muse agent shows consumer AI needn't top benchmarks to be most useful day to day, splitting from the frontier-model race. He doubts investor fears that Muse will take over insurance and mortgage shopping.
Ed Zitron said his Bloomberg terminal's AI invented a Microsoft share price and that his editor Matt Hughes, not a hallucination benchmark, earns his trust. The host argued buyers pay for output and AI should be compared with fallible people.