LessWrong (Curated & Popular)

TL;DR: This document provides an overview of publicly available evidence regarding the monitoring practices of internally deployed agents within frontier AI companies (focusing on OAI, Anthropic, and GDM). This is intended as a reference for factual claims about monitoring practices.

In general, there is limited public evidence about GDM monitoring practices. Much of the information herein comes from the GDM control roadmap, which is a plan that makes suggestions but does not make claims about GDM's actual practices.

Transcripts are primarily monitored asynchronously/offline. Anthropic: Evidence: “Our main form of asynchronous monitoring is an automated offline monitoring pipeline.”  Ant, August 2026 p. 76

OAI Evidence: “We began asynchronously monitoring internally deployed models such as GPT-5.3-Codex five months ago [in September 2025].” OAI Feb 2026
Evidence: “our monitoring system reviews interactions within 30 minutes of completion” OAI March 2026
Evidence: “OpenAI's CoT monitors are connected to a system that notifies security and research personnel, with a goal of issuing a notification within 30 minutes after concerning activity is surfaced… If the safety, security and research teams are paged and they cannot conclusively determine within 30 minutes that the flag is a false positive, those teams are expected [...]

The original text contained 8 footnotes which were omitted from this narration.

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First published:

October 7th, 2026


Source:

https://www.lesswrong.com/posts/E4Jpmo3igPnGnXtL4/an-overview-of-frontier-ai-company-monitoring-practices-in

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Narrated by TYPE III AUDIO.

By Alex Turner, Amber Scorah, and Karl Koch. Op-ed written for Fortune.

Giving independent evaluators “employee-like access” is “a great idea”, OpenAI CEO Sam Altman said on September 12th. Two weeks later, OpenAI president Greg Brockman signed the White House Accord on Super Intelligence which outlined the administration's answer to growing fears about AI: the companies would police themselves. One of the accord's four commitments, which President Trump called “morally binding,” was for companies to partner with an independent external auditor or evaluator.

Two days later, OpenAI fired three safety researchers, including Tomek Korbak, who had served as a point of contact for one of the independent evaluators investigating the Hugging Face incident. OpenAI promised to share information with evaluators, then reportedly fired people for sharing information with evaluators.

OpenAI said that the three employees “mishandled sensitive information outside established company procedures,” before doubling down on X without providing further evidence. The three dispute the claim and say that “at no point do we believe we engaged with external parties outside the mandates of our jobs.” Jasmine Wang said she accidentally opened an executive email (still available to her due to an OpenAI IT error) and reported it [...]

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First published:

October 12th, 2026


Source:

https://www.lesswrong.com/posts/sSHbioPoHWtm4zuti/openai-can-t-self-police-because-it-fires-the-people-raising

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Narrated by TYPE III AUDIO.

Epistemic status: Feeling frustrated, and therefore somewhat uncharitable.

I’m very frustrated with calls for people to “drop everything and pivot into AI safety” like this one. (See also this, this, this, this for recent calls for more people to go into AI safety; though my frustration was triggered by the Celeste's post.)

There are far more talented people trying to get into AI safety than there are jobs for them. MLAB 2, which I did in 2022, was already competitive to get into, at about 5% acceptance rate (admitted about 40 out of 800 applicants). Things are much, much more competitive now. There is a whole pipeline of AI safety fellowships (and guides for applying to them). It is rumored that one recent cohort of the Anthropic Fellows program had over 10,000 applicants. (Anecdotally, I applied to the Anthropic Fellows program in early 2026, after working at Redwood, METR, and an ML startup, and I didn’t get in!)

And, uh, just take a look at the AI safety jobs? The bottom of the salary range for METR's current “Member of Technical Staff, Embedded Assessments” job posting is 402 thousand dollars. This is higher than the median total comp for [...]

The original text contained 1 footnote which was omitted from this narration.

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First published:

October 9th, 2026


Source:

https://www.lesswrong.com/posts/xLgJJC3CD3y3AhtKn/stop-telling-people-to-pivot-to-ai-safety-i-beg-you

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Narrated by TYPE III AUDIO.

Lots of the discussion around Lean certificates and trust centers around general philosophical ideas of how much humans should trust formal certificates. It's important to remember, though, that Lean4 is not an ideal formal certificate machine: Lean4 is a software in its infancy and has issues. There are reasonable reasons to specifically not trust Lean4.

If we're going to be putting our society's trust in Lean4, I think that it's good to have an open critical discussion of how warranted that trust is.

Epistemic status: Most of this work is a factual description about aspects of Lean4 and set theory. I am 85% sure that at most two of these factual descriptions are incorrect. I am 90% sure that, in the current version of Lean4 on Github, there exists a proof of the statement "True=False" that would be accepted with two little blue checkmarks (either by messing with the elaborator, compiler, kernel, or some other part of the Lean). I am 2% certain that we will soon be putting huge amounts of trust into Lean4 certificates produced by misaligned AIs, and that the human work we do as a community thinking about and fixing Lean4 in the next 24 [...]

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Outline:

(01:23) The current status of things

[... 8 more sections]

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First published:

October 9th, 2026


Source:

https://www.lesswrong.com/posts/zHhGa3iQBQcdSifFL/a-critical-look-at-lean4-1

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Narrated by TYPE III AUDIO.

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Zvi recently coined a nice distinction between AGI-pilled and ASI-pilled: as more people are reckoning with the speed of progress, some are beginning to come around to the fact that AI could be superhuman at a huge range of tasks in a way that radically reshapes society, but not that it could leap us to the end of the tech tree shortly afterwards and start making nanotech and dyson spheres.

Hence, you see people saying things like “Because of AI we must rethink the entire notion of mathematical progress”, or “I have to make sure I amass lots of capital before most jobs get automated”: pretty crazy statements, and yet, still not quite grappling with how wild things could get in the next few years, let alone the next decade.

I feel a particular frustration here as someone who is both pretty ASI-pilled and pretty into liberal democracy. And when I say liberal democracy I don’t so much mean the specific political structure that seems efficient at our current tech level but rather the set of underlying moral commitments like non-domination and a government of the people — commitments which I’m aware might soon be a lot more expensive.

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The original text contained 4 footnotes which were omitted from this narration.

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First published:

October 8th, 2026


Source:

https://www.lesswrong.com/posts/eSMburFT9eRxHWijf/asi-and-liberty-can-we-do-better-than-a-benevolent-god

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Narrated by TYPE III AUDIO.

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