Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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The developments commanding sustained expert attention

One card per development. Sources are clustered; expert reactions remain attributable.

Established Evaluation & benchmarks Development 8d ago
⚡ 455 h early
OpenAI limits GPT-5.6 rollout government request

Summary of METR's predeployment evaluation of GPT-5.6 Sol

5 experts across 5 network communities independently surfaced this.

5 experts 5 communities 1 sources clustered
Ted Underwood Ramon Astudillo Tim Kellogg METR Tim Duffy

“Some quotes about Sol cheating metr.org/blog/2026-06... 👇”

“this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...”

2 experts discussed this · 6 posts
Tim Kellogg: this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...
Ted Underwood: this is crazy. METR couldn’t measure the task time horizons of GPT-5.6-Sol because it kept hacking the test harness ..with actual exploits metr.org/blog/2026-06...
Tim Kellogg: lol right? so badly wanted a hacker that they got one, and it’s not the kind of employee you want around
Open the full discussion →
Primary source metr.org ↗
Developing Evaluation & benchmarks Research 2d ago
METR expenditure horizon optimization measure

Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
METR

“See the post for more, including: (1) a sketch of what we know about AI-assisted R&D; (2) alternative metrics for optimization ability; (3) estimated returns to human labor in NanoGPT; (4) details on NanoGPT agent runs. metr.org/blog/2026-07...”

Primary source metr.org ↗