Jakub Pachocki
Chief Scientist, OpenAI · Chief Scientist, OpenAI, per the post · Chief Scientist at OpenAI
Titles as the sources gave them. In 5 entries, with 1 checked quotation.
Who they are
Roles and parties from Wikidata and from the sources in the Base, as precise as each gives them. When we compare what groups say, each statement counts in the group the person belonged to that day.
Wikidata: Q123478068
What they said
Newest first. Each quotation was found word for word in the source.
“Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer.”
In the Base
Every entry they appear in.
How could the US and China verifiably slow AI?
In a first LessWrong post, josefely explains why a unilateral US slowdown would not work and surveys ways a US-China agreement on AI compute could be verified: remote sensing, on-site inspection and tamper-resistant chip hardware. A closing scenario imagines an agreement after a major AI-enabled cyberattack. The author says the ideas come from existing papers.
A proposal for better informing the public about loss-of-control risks from frontier AI development
METR proposes that frontier developers let it investigate three questions, on alignment, monitoring and AI-driven acceleration, and publish reports from staff interviews and internal data. Developers could redact material and set access. METR lists limits, including that access stays at company discretion.
Governing AI Agents: Alan Chan of GovAI on Monitoring, Agent IDs, Rogue Agents & Preparing for RSI
In a two-part, roughly 138-minute interview, GovAI's Alan Chan tells host Nathan Labenz which agent-governance proposals (monitoring, logging, agent identifiers) have been taken up, how to prepare for rogue agents, and what a paper on automated AI R&D recommends.
The Safety Culture at the Labs is Broken
In a weekly roundup, Zvi Mowshowitz argues that safety culture at frontier labs is inadequate. The post covers David Robinson's resignation from OpenAI, lab-employee departures, Anthropic and OpenAI misalignment reports, and calls to slow the frontier, quoting many others.
AI Labs Warn Race Makes Breach ‘Inevitable’
According to AI Explained's description, the presenter reviews a week of news, including a Sam Altman warning about breach risk linked to 6.1 Astra, and says Muse Wonder shows the race is not slowing, then argues where AI is heading on current trends. Chapters cover the forthcoming breach, why labs keep racing and the next 18 months.