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VOICE ARCHIVE

@metr_evals

@metr_evals
3 posts
2025-08-08
In a new report, we evaluate whether GPT-5 poses significant catastrophic risks via AI R&D acceleration, rogue replication, or sabotage of AI labs. We conclude that this seems unlikely. However, capability trends continue rapidly, and models display increasing eval awareness. [image]
2025-08-08 View on X
VentureBeat

OpenAI touts GPT-5's scores on math, coding, and health benchmarks: 94.6% on AIME 2025 without tools, 74.9% on SWE-bench Verified, and 46.2% on HealthBench Hard

After literally years of hype and speculation, OpenAI has officially launched a new lineup of large language models (LLMs) …

In a new report, we evaluate whether GPT-5 poses significant catastrophic risks via AI R&D acceleration, rogue replication, or sabotage of AI labs. We conclude that this seems unlikely. However, capability trends continue rapidly, and models display increasing eval awareness. [image]
2025-08-08 View on X
Simon Willison's Weblog

GPT-5 hands-on: it exudes competence but doesn't feel like a dramatic leap ahead of other LLMs, and the pricing is aggressively competitive with other providers

And It Changes Everything Tyler Cowen / Marginal Revolution : GPT-5, a short and enthusiastic review GPT-5 : GPT-5  —  Our hands-on review of OpenAI's newest model based on weeks o...

2025-07-12
We ran a randomized controlled trial to see how much AI coding tools speed up experienced open-source developers. The results surprised us: Developers thought they were 20% faster with AI tools, but they were actually 19% slower when they had access to AI than when they didn't. [image]
2025-07-12 View on X
Second Thoughts

METR study: experienced open-source developers using Cursor, Claude, and other AI tools were 19% slower to complete tasks, despite thinking they were 20% faster

Devs estimated time saved with AI before & after each task, while screen recording to measured real-world AI productivity gains. @shimminykricket : A randomized controlled study fo...