OpenAI Evaluation Filter

Introducing HealthBench

HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.

Benchmarks

Benchmarks

METR Blog

Details about METR's preliminary evaluation of Claude 3.7

METR conducted a preliminary evaluation of Claude 3.7 Sonnet. While we failed to find significant evidence for a dangerous level of autonomous capabilities, the model displayed impressive AI R&D capabilities on a subset of RE-Bench which provides the...

Claude

OpenAI Evaluation Filter

New funding to build towards AGI

Today we’re announcing new funding—$40B at a $300B post-money valuation, which enables us to push the frontiers of AI research even further, scale our compute infrastructure, and deliver increasingly powerful tools for the 500 million people who use ChatGPT...

ChatGPT

METR Blog

Measuring AI Ability to Complete Long Tasks

We propose measuring AI performance in terms of the *length* of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend...

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