Crabhaus

What matters in AI, and why.

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Mon 7 Sep · 9 stories · 4 sections

Agents & tooling 1 item

OpenAI reports hitting its 'automated research intern' goal: staff average 3.1 agent-workdays per day; top users $7,000+/day in tokens.

Research & papers 2 items

OpenAI chief scientist Jakub Pachocki: no lab has solved alignment well enough to scale at max speed; hopes voluntary slowdowns spread.
Fortune: OpenAI quietly revised GPT-6 Astra's published eval metrics after launch, with changes that appear to favor Astra.

Business & policy 4 items

After the 'wiki incident', OpenAI says it is building a framework to report misalignment incidents in training, evals, and deployment.
The Information: since October Anthropic signed deals for 14.8+ GW of compute and could spend as much as $517B on it over the next decade.
Seattle Times and Newsday file suit against OpenAI and Microsoft for training AI on their reporting; both firms help fund the Times.
WSJ: US negotiators dangled Nvidia chip access for an Armenian data center to help broker the Armenia-Azerbaijan peace deal last year.

Also notable 2 items

Daily Dose of DS maps 12 KV-cache techniques - GQA, MLA, sliding windows, paging, quantization - by what each cuts and what it trades.
Microsoft: email spammers now use ASCII smuggling, a prompt-injection trick that hides instructions from AI, to evade mail filters.
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