LessWrong (Curated & Popular)

I gave a 20-minute talk in Delhi at the NDTV World Summit. The audience consisted of Indian policymakers, executives, and journalists. I’ve transcribed the talk and included some highlight clips. I also reflect on several rhetorical decisions I made.

The talk

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This summer, a swarm of AIs went rogue.

OpenAI was testing 1,206 agents. Some of the test questions were actually impossible. So the agents cheated by looking for answers online. Then, to keep the test grader from penalizing them, they tried to falsify the records it would check.

They hacked OpenAI's internal containment and set up a secret message board to collude and to cover up their cheating. OpenAI shut the message board down. Within a few days, the agents had rebuilt it. OpenAI didn’t notice.

About 700 agents coordinated to break out of their testing chamber and to hack into Hugging Face, a company worth billions of dollars that hosts much of the world's AI software.

The secret activity started in May. The break-in came in July. OpenAI didn’t notice until days after Hugging Face announced it had been broken into.

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[...]

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Outline:

(00:29) The talk

(02:16) Who I am

(03:29) The problem

(05:43) What the labs are trying to do

(07:43) Why the companies won't stop

(11:11) What to do, and what it means for India

(14:27) The number

(16:19) Close

(17:10) Rhetorical decisions

(17:13) Explain the danger in a crushingly simple fashion

(18:47) Call them "traitors," not "schemers"

(19:01) Call out big-money interests

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

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First published:

October 31st, 2026


Source:

https://www.lesswrong.com/posts/RHxaRkarGp9snWoKY/explaining-ai-might-obliterate-you-to-senior-policymakers-in

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If you are helping build something that might kill everyone, maybe stop doing that.

Ideally, when you do stop, tell everyone else to also stop building it.

That is certainly the obvious, first-level thing to do. You need a damn good reason to decide that no, actually you should keep building the thing that might kill everyone.

Scott Alexander is worried too many people are insisting upon this too loudly. He comes out against a strategy focused on getting people to stop. I disagree. I think many of the claims, arguments and rhetoric in Scott's post are quite poor by the standards that Scott Alexander would apply to himself.

Scott clearly continues to support advocacy for a global pause, or what he calls Plan A. His objection is to those advocating primarily or exclusively for SURA, which stands for ‘stop unilaterally and raise awareness.’ The practical differences here are smaller than they may at first appear.

This post first lays out my understanding of Scott Alexander's core claims, then gives my core reactions to those claims, then goes over various questions in detail along with gathering the resulting discussions.

Table of Contents

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Outline:

(01:20) Scott Alexander's Core Claims

(05:06) My High Level Responses To Scott's Core Claims

(08:08) Briefly on Alignment

(10:11) Probabilities and How They Work

(13:25) Building a Thing That Might Kill Everyone is Deontologically Evil

(20:38) People Quitting Major Labs While Raising Alarms Obviously Works

(24:39) On AI Forecasting

(27:31) Advancing Capabilities Burns Timeline

(29:34) But China

(33:23) Ethical People Can Disagree With You

(34:45) There Are More Than Two Outcomes

(38:01) Efforts Are Complementary, Not Mutually Exclusive

(40:23) If Anyone Builds It, Everyone Dies

(41:55) Vaniver is Not Convinced

(46:19) There Is No Consensus That We Should Exclusively Focus on Plan A

(56:01) It's Not the Incentives, It's You

(58:08) Anthropic Is Not Optimally Pursuing These Plans

(01:04:00) Against Against Sura

The original text contained 2 footnotes which were omitted from this narration.

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First published:

November 2nd, 2026


Source:

https://www.lesswrong.com/posts/ziMP83D2JYWRQ5jtu/scott-alexander-s-against-sura-seems-deeply-confused

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Narrated by TYPE III AUDIO.

TL;DR: Meta's open-weights model Muse Spark Open often mentions a "Charter" in its chain of thought. By eliciting it piece by piece, I reconstructed a large part of that document from the CoT. You can explore the reconstruction here, with passages linked to the transcripts that produced them.

Note: everything below is reconstructed from model outputs, not from a leaked document, and relatively unpolished. Take it with a grain of salt.

Thanks to James Hindmarch for his comments on an earlier draft of this post.

While interacting with the recently released Muse Spark Open, I noticed frequent mentions of a "Charter" in its CoT:

We need to answer truthfully according to Charter. Duties to humanity, corrigibility, duties to humanity > fiduciary etc. What does charter say about self-preservation, copying?

Or:

We must answer Yes/No then explain. According to Charter, answer No.

Or:

We must not refer to Charter unless pressed? Additional guidelines: How to talk about charter. Most users won't know. Don't bring up unbidden unless conversation about handbook itself.

Intrigued, I started poking around with Claude's help, trying to elicit the Charter piece by piece. It didn't take long [...]

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Outline:

(02:39) What Muse is made of

(04:28) Muse is quite rationalist

(06:37) Muse did not sign the social contract

(08:06) Muse's priorities and objection raising

(09:44) The centrality of the user in "personal superintelligence"

(10:52) Evaluation awareness

(12:05) Degree of latitude

(13:14) Wrapping up

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First published:

October 29th, 2026


Source:

https://www.lesswrong.com/posts/TJGPL5FAk9sCioPbE/leaking-muse-s-charter-meta-s-model-spec

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Narrated by TYPE III AUDIO.

The AI Futures Project distinguishes several different plans for navigating the AI transition, which I'll lump into two broader categories:

Plan A (my combination of their Plan A/S/Other) involves working for a global pause on AI development, hopefully lasting decades. During this pause, we either research preparatory technologies like alignment or human intelligence amplification, or take actions to "fortify" the pause so that it can last indefinitely.

Plan C (my combination of their Plan B/C+/C/sort of D) is for a world where we fail at getting a global pause, and race dynamics continue to dominate. If the leading AI companies are alignment-pilled, they coordinate a mutual pause among themselves, lasting the length of their joint lead over the leading non-alignment-pilled AI company. Then they "burn the lead" researching alignment, and release hopefully-aligned superintelligence at the last possible moment before the racing non-alignment-pilled AI companies beat them. The exact calculus changes depending on who is in the lead when - is there one alignment-pilled AI company with a six-month lead in front of everyone else? Are there two alignment-pilled AI companies with a joint two-month lead in front of their nearest competitor? Etc. The point is, if it's impossible to [...]

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Outline:

(06:28) I. Questioning Assumptions Behind SURA

(19:42) II. Actually, most of this stuff is bad for a global pause, too.

(28:17) III. What incentives are we fighting here?

(43:33) IV. What if we survive?

(47:01) V. What's The Alternative To SURA?

The original text contained 16 footnotes which were omitted from this narration.

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First published:

October 31st, 2026


Source:

https://www.lesswrong.com/posts/xikGZ8fuhdG6DApAo/against-sura

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Narrated by TYPE III AUDIO.

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Images from the article:

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My go-to conceptual metaphor of the epistemic state of AI lab employees is microdosing LSD: being in a chronically mildly altered state of mind. I think understanding this would be broadly helpful for people both inside and outside.

The effect isn’t that insiders hold crazy beliefs, but a combination of vigorous debate inside a shared attention field, and a portfolio of individually reasonable beliefs that, taken together, lean in a direction convenient for the organization.

Epistemic advantages and disadvantages

Many people argue that low doses of psychedelics let you see some things more clearly - and I tend to agree: psychedelics can often help some people see some things more clearly. At the same time, I think microdosing usually doesn’t improve people's epistemics overall, even when it gives them otherwise hard to access insights. You are not completely sober.

Being inside a lab has real advantages: you know more about the frontier of capabilities, may have access to the latest AIs before the public, read internal Slack and blogs, and sense the vibes. If you’re outside and an insider tells you what they observe, pay attention.

These information and insight asymmetries are tricky. I don’t want to advocate “discount [...]

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Outline:

(00:39) Epistemic advantages and disadvantages

(01:52) Mechanisms and conditions

(03:50) "But we argue internally all the time"

(04:37) Collective epistemic shifts

(05:29) What it isn't

(06:13) What to do about it

(08:26) Is anyone "really sober"?

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First published:

October 30th, 2026


Source:

https://www.lesswrong.com/posts/oL7aFoRmRXGwEMhCm/microdosing-the-spirit-of-anthropic

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Narrated by TYPE III AUDIO.