Una evaluación piloto del riesgo de despliegue no autorizado en empresas de IA de frontera. En febrero de 2026, METR inició un ejercicio piloto para evaluar riesgos de desalineación derivados de agentes de IA usados dentro de empresas desarrolladoras de IA de frontera, con la participación de Anthropic, Google, Meta y OpenAI.

A survey of 349 technical workers finds a median 1.4–2x self-reported change in value of work due to AI tools, expected to grow over time, though there are reasons to be skeptical of the magnitude.

We distinguish three measures of AI uplift -- on old tasks, on new tasks, and in value -- and show that task substitution can cause these to diverge substantially.

Classifying human and agent contributions to the NanoGPT speedrun, and what publicly tracked challenges can tell us about AI R&D acceleration.