Claim · 2024-07-26 · publication · Stated in source · Supported

The essay by Narayanan and Kapoor of 26 July 2024 argues that probability estimates of AI-caused extinction are far too unreliable to be useful for policy, since there is no reference class for the event, and states that the authors have no objection to AI x-risk forecasting as an academic activity.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

AI existential risk probabilities are too unreliable to inform policy → articulates → Risk claims are speculative or unfalsifiable

Where it appears

Arguments about catastrophic risk from advanced AI →

Claim and evidence

AI existential risk probabilities are too unreliable to inform policyarticulates ↓Risk claims are speculative or unfalsifiable

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2024-07-26 · publication Records dated 2024 →
Role: Most developed
Register (kind of text): Nonfiction

Scope and limitsThe essay's argument concerns one type of evidence (probability estimates) and their use in public policy; it states that x-risks are "necessarily somewhat speculative".

The evidence 02

primary sourceSupports the claim

AI existential risk probabilities are too unreliable to inform policy

AI Snake Oil newsletter (Substack) · 2024-07-26

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Our central claim is that AI x-risk forecasts are far too unreliable to be useful for policy, and in fact highly misleading.”

Location in source Introduction

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Arvind Narayanan; Sayash Kapoor
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 f2ab524f7ef4880a2f9253067d3d841b9de7e8c3103f0c04226567dc178b006e). Current Substack post, datePublished 2024-07-26; the newsletter has since been renamed, and the address may redirect.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Arvind Narayanan, Sayash Kapoor, “AI existential risk probabilities are too unreliable to inform policy”, 2024-07-26.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (22 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

primary sourceSupports the claim

AI existential risk probabilities are too unreliable to inform policy

AI Snake Oil newsletter (Substack) · 2024-07-26

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“For existential risk from AI, there is no reference class, as it is an event like no other.”

Location in source Section on inductive estimates

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: Arvind Narayanan; Sayash Kapoor
Version: Retrieved for the candidate pack on 2026-10-29 (SHA-256 f2ab524f7ef4880a2f9253067d3d841b9de7e8c3103f0c04226567dc178b006e). Current Substack post, datePublished 2024-07-26; the newsletter has since been renamed, and the address may redirect.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-29
Language: English (en)
Attribution: Arvind Narayanan, Sayash Kapoor, “AI existential risk probabilities are too unreliable to inform policy”, 2024-07-26.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (18 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.

Date. Date of posting.

Record ID rd-r11-narayanan-kapoor-2024-xrisk-probabilities