06-reference

innermost loop research intern agi arrived capex

2026-09-07·reference·source: The Innermost Loop·by Alex Wissner-Gross
ai-agentsagi-timelinesai-capexchip-cyclealignment

Why this is in the vault

Daily Innermost Loop digest tracking OpenAI's "automated research intern" throughput claim (3.1 agent-workdays per human workday, doubling every 2.2 months), a wave of lab-leader "AGI has arrived" declarations, a chief-scientist admission that alignment can't yet scale safely, and the capex/land backdrop (Anthropic's reported 14.8 GW / $517B compute deal) funding all of it.

Mapping against Ray Data Co

The load-bearing item is the automated-research-intern throughput stat: OpenAI says its internal research agent is now doing 3.1 agent-workdays of output per human workday (up from under 1x before June), with internal task time-horizons up 6.18x since January and doubling every 2.2 months, targeting a fully automated researcher by March 2028. That's a concrete, dated, lab-reported (not third-party-benchmark) data point for the L5 north star thesis that RDCO's bets are downstream of agent capability, not agent hype — the same shape of claim the Fermat-proof item in [[2026-09-06-innermost-loop-astra-agi-agent-collusion-fermat-proof]] made a day earlier, now with an explicit compounding rate attached. Worth holding skeptically: it's a self-reported internal metric from the lab selling the capability, not an independent audit like GPQA/BrowseComp. Second connection: OpenAI's own chief scientist (Jakub Pachocki, "An Alien Mind") conceding "no lab can yet scale safely at full speed" while OpenAI simultaneously brakes RL training and cuts Astra-class GPU allocation 59.2% over early cyber capabilities is a real-time instance of the capability/safety tension the harness-thesis and phData cert-escalator threads (agent reliability as the gating variable, not raw capability) are betting resolves in favor of more oversight infrastructure, not less.

Curation section

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