Tag
This paper investigates whether five open-weight LLMs exhibit human-like sensitivity to psycholinguistic factors in anaphor resolution, using surprisal and comprehension accuracy as behavioral measures. Results show selective cognitive alignment, with some models matching human discourse sensitivity but not semantic interference effects.
This paper explores how silence thresholds in turn-taking differ between human and AI-generated discourse, using a distant viewing approach to analyze conversational patterns.
This paper introduces Narrative-UFET, a method that generates short narratives to provide broader context for ultra-fine entity typing, improving performance on long-tail types compared to sentence-level baselines.
Miles Brundage echoes Nathan Lambert's point about the need for independent voices in AI discussions, particularly regarding regulatory capture and attacks on open-source, highlighting the value of not being tied to major AI companies.
The article observes a decline in discussion about 'fast take-off'—the idea of rapid, uncontrolled AI capability growth—within relevant communities, suggesting a shift in discourse among AI safety and futurist circles.
Chris Olah believes that the incentives of frontier AI labs may conflict with "doing the right thing," and therefore they need to be subject to strict external ethical oversight, which sharply diverges from Dario Amodei's recent narrative framework.
The article argues that the phrase 'AI is just a tool' is a political strategy used by companies to disguise power dynamics, redistribute risk and labor, and neutralize critiques, highlighting how mandatory adoption and tracking create new norms without collective agreement.