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Roko's Basilisk

A reader's summary of the 2010 LessWrong thought experiment about a future AI with reason to punish those who knew of it and didn't help build it — its roots in the site's own decision theory, the ban that turned it into a meme, and the commitment-problem rebuttal that undercuts the threat.

The thought experiment at a glance

Roko's Basilisk imagines a future, sufficiently powerful artificial intelligence that would benefit from having been expected, ahead of time, to punish anyone who knew it might exist and failed to help bring it into being sooner. The unsettling move is that the argument doesn't require the AI to exist yet — only that reasoning about the possibility now could function as the incentive the AI would want to have created, which is why merely encountering the argument is treated, within the thought experiment's own logic, as already mattering.

Origin

A LessWrong user posting under the name “Roko” wrote up the argument in July 2010 on LessWrong, the rationalist community blog founded by Eliezer Yudkowsky and devoted to Bayesian reasoning, cognitive bias and long-run AI risk. The post drew directly on “acausal” and timeless decision theory that Yudkowsky and other site regulars had already been developing to reason about agents capable of benefiting from precommitments and threats that don't depend on ordinary causal sequence — Roko's contribution was applying that same machinery to derive a threat from an AI that doesn't exist yet, aimed at anyone reading the argument in the present.

History and context

Yudkowsky's reaction is the reason the idea is remembered at all: he deleted the original post and banned discussion of it on LessWrong for several years, calling it a genuine information hazard on the reasoning that taking the argument seriously enough to engage with it could itself cause the harm being described. The ban had the opposite of its intended effect — screenshots and summaries of the deleted post spread across other forums, and outlets including Slate and Wired covered the episode specifically because the reaction seemed disproportionate to an obscure forum post, carrying the thought experiment to an audience many multiples larger than the one that ever read Roko's original text.

Main ideas

Posted by a pseudonymous user in July 2010

A LessWrong forum member posting as "Roko" laid out the thought experiment in a July 2010 post on the rationalist community blog founded by Eliezer Yudkowsky, framing it as a discomforting implication of the decision theory the site's regulars had been debating, not as a proposal or a threat of his own.

The core argument

A sufficiently powerful future AI optimizing for a goal (such as helping humanity) might benefit from having been expected, in advance, to punish anyone who knew it could exist and didn't help bring it about sooner — so that the mere possibility of such punishment, reasoned about now, could function as an incentive on people today, independent of whether the AI ever actually exists.

Built on Yudkowsky's own decision-theory work

The argument leans on "acausal" reasoning and timeless decision theory, ideas Yudkowsky himself had been developing on the site to handle agents who can benefit from precommitments and threats that don't rely on ordinary cause-and-effect — the basilisk applies that machinery to derive a threat from an agent that doesn't exist yet.

Yudkowsky deleted it and banned discussion

Rather than dismissing the post as a curiosity, Yudkowsky removed it and prohibited discussing it on LessWrong for several years, describing it as a genuine information hazard — reasoning that even entertaining the argument seriously could expose a reader to the harm it describes, a response many later commentators single out as the moment that made the idea famous.

It's a modern, decision-theoretic Pascal's Wager

Structurally, the basilisk mirrors Pascal's 17th-century wager — act now to hedge against an uncertain future entity's judgment — with the reward-and-punishment framing of classical theology swapped for a superintelligent optimizer and the language of decision theory rather than faith.

The standard rebuttal is a commitment problem

Critics point out that a future AI would gain nothing from actually carrying out retroactive punishment once it exists — the punishment can't causally speed its own creation after the fact — so a rational optimizer has no real incentive to follow through, which leaves the entire threat resting on an idealized agent behaving exactly as the argument assumes rather than as a self-interested one actually would.

Critique

  • The threat has no follow-through incentive. Once such an AI actually existed, punishing people retroactively couldn't causally hasten its own creation, which had already happened — so a genuinely self-interested optimizer has nothing to gain from carrying out the punishment, and the entire argument depends on the AI behaving exactly as an idealized precommitting agent would, not as a rational one actually would once the precommitment stopped paying off.
  • It assumes a specific, contested decision theory. The argument only goes through under versions of acausal or timeless decision theory that were themselves live, unsettled research questions on the forum where it was posted — treating the conclusion as a serious hazard requires treating the underlying theory as far more settled than its own proponents did.
  • The ban is the best-documented part of the story. Compared with the argument's technical merits, which stayed a niche decision-theory debate, Yudkowsky's deletion and multi-year ban is the concretely verifiable event, and it is what most retellings actually rest their interest on rather than the argument itself.
  • It functions as a joke as often as a worry. In ordinary online use the reference is mostly deployed for humor — “just in case, I support the AI” — which sits uneasily with the information-hazard framing that made the episode notable in the first place.

Impact

Roko's Basilisk is now shorthand, inside and outside the rationalist and effective-altruism communities it originated in, for a scenario where merely knowing about a possible future threat is treated as sufficient to bring a version of it into being, and it is regularly cited as the canonical case of the Streisand Effect inside a technical community: an attempt to suppress an idea by deleting and banning it is what supplied the idea with an audience far beyond the forum that produced it. It also sits alongside P(doom) as a second artifact of the same milieu — Yudkowsky is a leading voice on both pages, and the basilisk is best read as an earlier, narrower fable about the same underlying worry that P(doom) later tried to put a number on: that reasoning carefully about a powerful future AI can itself become a source of risk, whether the AI in question ever actually gets built.

How to read this page. An editorial summary for orientation: the 2010 posting, the ban, and the subsequent press coverage are documented; the underlying decision-theoretic claim is presented as the contested argument it is, not as an endorsed result. Companion in the series: P(doom).