AGI Strategies
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Time horizon · frame rejection

AI skeptic

Current scaling approaches hit a wall before producing transformative AI, so strategy selection is premature because the forecast capability will not arrive.

Mechanism

Take no deliberate action on AI safety because the technology's own limits will solve the problem before it becomes binding.

Falsification signal

Each capability threshold the skeptic named as unreachable is reached, though the position often survives via recalibration rather than abandonment.

A strategy held without a falsification signal is not strategy; it is affiliation. Continued support after this signal lands is identity, not bet. See the identity diagnostic.

People on the record

83

Profiled figures appear first, with their tier in small caps. Each face links to the person and their full quote record. Tag: ai-skeptic.

expertise mix · 36 profiled

Builds frontier systems
1
Deep ML / safety technical
20
Applied or adjacent technical
1
Governance, policy, strategy
2
Expert in another field
11
Public-square commentator
1

recognition mix

Mass-public recognition
16
Known across the AI/safety field
19
Recognised inside subfield
1
Newer or less central voice
0

A strategy whose endorsement skews to commentators or external-domain experts is in a different epistemic state from one endorsed mostly by frontier-builders. The mix is read carefully across both axes; see the board for criteria. Counts are over the 36 profiled people on this strategy (47 unprofiled excluded).

  • Alan Kay

    Alan Kay

    Deep ML / safety technical · Mass-public recognition

  • Andrew Ng

    Andrew Ng

    Deep ML / safety technical · Mass-public recognition

  • Bryan Caplan

    Bryan Caplan

    Expert in another field · Known across the AI/safety field

  • Cassie Kozyrkov

    Cassie Kozyrkov

    Applied or adjacent technical · Known across the AI/safety field

  • Donald Knuth

    Donald Knuth

    Deep ML / safety technical · Mass-public recognition

  • Doug Lenat

    Doug Lenat

    Deep ML / safety technical · Known across the AI/safety field

  • Douglas Engelbart

    Douglas Engelbart

    Deep ML / safety technical · Mass-public recognition

  • Emily M. Bender

    Emily M. Bender

    Deep ML / safety technical · Known across the AI/safety field

  • Erik Brynjolfsson

    Erik Brynjolfsson

    Expert in another field · Known across the AI/safety field

  • Evgeny Morozov

    Evgeny Morozov

    Expert in another field · Known across the AI/safety field

  • François Chollet

    François Chollet

    Deep ML / safety technical · Known across the AI/safety field

  • Gary Marcus

    Gary Marcus

    Deep ML / safety technical · Mass-public recognition

  • Jaron Lanier

    Jaron Lanier

    Expert in another field · Mass-public recognition

  • Jeff Hawkins

    Jeff Hawkins

    Deep ML / safety technical · Mass-public recognition

  • John Searle

    John Searle

    Expert in another field · Mass-public recognition

  • Joseph Weizenbaum

    Joseph Weizenbaum

    Deep ML / safety technical · Known across the AI/safety field

  • Judea Pearl

    Judea Pearl

    Deep ML / safety technical · Mass-public recognition

  • Kate Crawford

    Kate Crawford

    Governance, policy, strategy · Known across the AI/safety field

  • Melanie Mitchell

    Melanie Mitchell

    Deep ML / safety technical · Known across the AI/safety field

  • Meredith Whittaker

    Meredith Whittaker

    Governance, policy, strategy · Known across the AI/safety field

  • Michael I. Jordan

    Deep ML / safety technical · Known across the AI/safety field

  • Naomi Klein

    Naomi Klein

    Expert in another field · Mass-public recognition

  • Noam Chomsky

    Noam Chomsky

    Expert in another field · Mass-public recognition

  • Oren Etzioni

    Oren Etzioni

    Deep ML / safety technical · Known across the AI/safety field

  • Robin Hanson

    Robin Hanson

    Expert in another field · Known across the AI/safety field

  • Rodney Brooks

    Rodney Brooks

    Deep ML / safety technical · Known across the AI/safety field

  • Sara Hooker

    Sara Hooker

    Deep ML / safety technical · Known across the AI/safety field

  • Steven Pinker

    Steven Pinker

    Expert in another field · Mass-public recognition

  • Stuart Ritchie

    Stuart Ritchie

    Expert in another field · Recognised inside subfield

  • Subbarao Kambhampati

    Deep ML / safety technical · Known across the AI/safety field

  • Ted Chiang

    Ted Chiang

    Expert in another field · Mass-public recognition

  • Thomas Dietterich

    Thomas Dietterich

    Deep ML / safety technical · Known across the AI/safety field

  • Timnit Gebru

    Timnit Gebru

    Deep ML / safety technical · Mass-public recognition

  • Tony Fadell

    Tony Fadell

    Public-square commentator · Mass-public recognition

  • Yann LeCun

    Yann LeCun

    Builds frontier systems · Mass-public recognition

  • Yejin Choi

    Yejin Choi

    Deep ML / safety technical · Known across the AI/safety field

47 more on the record. See the full tag page: ai-skeptic

Coordinates

Acts onframe rejection
Coercionn a
Actor in controlnone
Time horizonhorizon neutral
Legitimacy sourceself

Conflicts, grouped by mechanism

3

Frame opposition

incompatible premises

The strategies accept different premises about what AI is or what the binding problem is. They conflict not on lever choice but on the frame that makes lever choice sensible.

Race to aligned superintelligencePauseAbandon superintelligence

Complements, grouped by mechanism

0

No explicit complements catalogued.

Same-lever twins

2

Both use the same lever in the same direction. Usually redundant inside a portfolio: each dollar or effort unit only buys one lever pull, even if two strategies are named.

Default drifttwinGradualismtwin

Axis position

What the strategy acts onFrame rejection
Coercion levelNot applicable
Actor in controlNo principal (drift)
Time horizonHorizon-neutral
Legitimacy sourceSelf

Source note: AI skeptic strategy.md