Three reasons why AI is not conscious and perhaps never will be

Large language models can mimic thought and feeling with uncanny skill.

By Seth, Block, TononiOct 19, 2026

Score████░░░░░░4.2

VerdictCompetent work. Briefs at most.

Summary from the source

Large language models can mimic thought and feeling with uncanny skill. But evidence from neuroscience suggests that intelligence alone is not enough for subjective experience.

Anil K. Seth, Ned Block, Giulio Tononi

The editor's rubric

Heuristic review

Leverage2 / 5: Reusable within one subfield (a technique, dataset, or protocol a few groups will adopt).; 15% of this desk’s rubric
Magnitude2 / 5: Solid incremental gain on a meaningful problem.; 20% of this desk’s rubric
Evidence2 / 5: Limited: single setting, weak baselines, or an observational association presented as causal.; 20% of this desk’s rubric
Novelty2 / 5: A new combination of known ideas.; 10% of this desk’s rubric
Trajectory2 / 5: Some room to improve with obvious engineering.; 10% of this desk’s rubric
Stakes2 / 5: Benefits a professional community (practitioners, clinicians, engineers).; 25% of this desk’s rubric

Dimension	Level	Weight	What that level means
Leverage	██░░░ 2	15%	Reusable within one subfield (a technique, dataset, or protocol a few groups will adopt).
Magnitude	██░░░ 2	20%	Solid incremental gain on a meaningful problem.
Evidence	██░░░ 2	20%	Limited: single setting, weak baselines, or an observational association presented as causal.
Novelty	██░░░ 2	10%	A new combination of known ideas.
Trajectory	██░░░ 2	10%	Some room to improve with obvious engineering.
Stakes	██░░░ 2	25%	Benefits a professional community (practitioners, clinicians, engineers).

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: stakes (general AI).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.2

Score = 10 × (50% × adjusted merit / 10 + 25% × attention + 25% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit: 3.4 / 10; Weighted rubric, evidence-gated.
Adjusted merit: 3.8 / 10; Shrunk toward the desk prior by editor confidence (30%).
Attention: 31%; Citations, upvotes, points, mentions.
Freshness: 61%; Half-life decay since publication.

No attention signals recorded yet.

The record

Reviewed by heuristic-v7 on Oct 19, 2026, 12:58 UTC. Paper type: news.
BRIEF, No.6 in the News edition of October 19, 2026.