In February 2026, METR launched a pilot exercise to assess misalignment risks from internal AI agents at frontier AI developers, with Anthropic, Google, Meta, and OpenAI participating. The entity-base…
Researchers have identified three distinct measures for calculating AI's productivity impact, or "uplift," finding that the metric varies significantly depending on whether it is measured against old …
METR reviewed Anthropic's February 2026 Risk Report section on automated R&D risks and concluded that while the report's bottom-line finding—that catastrophic risk from Claude Opus 4.6 or a less capab…
Despite predictions that longer-horizon training would slow AI progress as models require more time and FLOPs to complete complex tasks, AI capabilities have accelerated rather than stalled. The METR …
Based solely on the provided article, researchers at METR introduced a new metric called the "50%-task-completion time horizon" to track AI progress, finding that this horizon—the length of a software…