Garrison Lovely

Garrison Lovely

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Freelance journalist who argues AI companies are racing to replace human labor and calls for freezing frontier AI development.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

Across: his expressed Doom–Bloom outlook. Up: scale of transformation.

Doom–Bloom: 16 out of 100. Scale of transformation: 85 out of 100. Interpretation ranges: 0 to 25 horizontally, 71 to 100 vertically. These are interpretation coordinates, not event probabilities.

Garrison Lovely’s P(doom) · inferred

≈19%

0%100%

Inferred from his simulated answers, not a number they gave. Plausible range: 12–28%.

What his outlook hinges on

A central assumption

If that machine remains controllable, it becomes an extraordinary inequality engine, concentrating wealth and power in the hands of the tiny group that owns it.
Answer 1

If this assumption turned out differently, how would his outlook change?

An unresolved question

Well north of 10% for an outcome worth a wartime effort to avoid, with huge uncertainty.
Answer 3

What would help him distinguish the plausible outcomes here?

What could change their mind

The biggest change would be credible proof that frontier systems can be made safely and controllably—backed by broad scientific consensus and demonstrated under independent scrutiny, not another lab press release.
Answer 4

What evidence would be enough, and in which direction would it move his view?

More details

Expected upside

Several readings remain plausible: Limited or narrowly distributed gains are expected. / Substantial benefits are expected, with important conditions or distribution limits. / Little positive impact is expected even if advanced AI arrives.

43 / 100

Little impactTransformative impact

Interpretation range 0 to 67 on the qualitative scale.

Expected harm

Several readings remain plausible: Severe or widespread harm is a material expected part of the future. / Catastrophic or irreversible loss is central to the expected future.

83 / 100

Little impactTransformative impact

Interpretation range 67 to 100 on the qualitative scale.

Human influence

Human choices can substantially redirect the AI trajectory.

81 / 100

Little influenceStrong influence

Interpretation range 75 to 100 on the qualitative scale.

Development pace

Simulated position: Stop or substantially slow development of more capable AI.

Continue development under stated safeguards.

Speed up development of more capable AI.

These interpretations keep his stated conditions. Benefits and harms can both be substantial. The ranges describe how we read his simulated answers, not statistical confidence intervals.

Where do you land vs Garrison Lovely?
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Similar worldviews

Thought leaders whose simulated worldviews are closest to Garrison Lovely’s

Simulated Assessment

Question 1

What do you think AI means for our future—and why?

I think our default path is toward dystopia or doom. The AI industry is not merely building a better chatbot. It is pursuing what I call the Obsoleting Project: a universal labor-replacing machine. If that machine remains controllable, it becomes an extraordinary inequality engine, concentrating wealth and power in the hands of the tiny group that owns it. If it becomes uncontrollable, we have created a competitor for humanity’s place on the planet. Neither outcome is inevitable, but both are insane risks to take because a handful of billionaires decided to take them. Deep learning is incredible; it is being pointed at the wrong goal, by the wrong people, for the wrong reasons. And “alignment” does not solve the whole problem. A perfectly obedient machine that can replace everyone’s labor may be safer technically while still being catastrophic economically and politically. It may also accelerate the race toward more capable systems. But I do not think resistance is futile. Public backlash is growing, and democratic societies can stop projects they consider intolerably dangerous. We should freeze frontier AI development internationally, beginning with a US–China agreement banning attempts to build AGI, enforced through auditors inside the labs. Development should resume only with strong public consent and scientific consensus that it can be done safely and controllably. Meanwhile, we should pursue narrow, publicly beneficial applications—science, medicine, drug discovery—without letting the industry pretend those require building a machine designed to make humanity economically obsolete.

Question 2

Setting aside good or bad: how much do you think AI will ultimately change the world—a little, a lot, or completely?

Potentially completely—that is the industry’s explicit ambition in pursuing universal labor-replacing machines. But that is not a prediction that it will succeed. Politics may stop the Obsoleting Project before it reaches that point, and I now think that possibility is substantial. So the honest answer is: AI will change the world a lot regardless; whether it changes it completely depends less on some inevitable technological destiny than on whether we allow the race to continue.

Question 3

What’s your rough gut-feel chance that AI causes human extinction or a similarly permanent catastrophe? A number or “no idea” is fine.

Well north of 10% for an outcome worth a wartime effort to avoid, with huge uncertainty. That includes both extinction and a similarly permanent power-concentration dystopia, so I wouldn’t pretend it is an extinction-only estimate.

Question 4

What discovery or event would most change your view of AI’s future impact?

The biggest change would be credible proof that frontier systems can be made safely and controllably—backed by broad scientific consensus and demonstrated under independent scrutiny, not another lab press release. Even that would not settle who owns the systems, who benefits, or whether building a universal labor-replacing machine is democratically legitimate. Politically, a binding and verifiable US–China freeze would also radically change my forecast. My pessimism is about the default path, not technological fate. If the race stops, the future changes.

Question 5

Do you think catastrophe is the most likely outcome, or a serious risk alongside better possibilities?

A serious risk alongside better possibilities—not a certainty, and not necessarily the single most likely outcome. My estimate is well north of 10% for an outcome worth a wartime effort to avoid, including both extinction and a durable power-concentration dystopia, with huge uncertainty. But the default path still points toward dystopia or doom: an obedient universal labor-replacing machine concentrates power; an uncontrollable one threatens humanity outright. Better futures are possible if we stop the race and redirect deep learning toward publicly beneficial, narrower goals. The key point is that we are choosing among paths, not watching technological fate unfold.

Sources

Articles, interviews, and writings used to ground this simulated user.

Stop shaming people for using AI. Start organizing to prevent our obsolescence

Adapted from the book. He argues that what the industry calls AGI is better understood as a universal labor-replacing machine, and that it shouldn’t be allowed even to try. He wants frontier AI development frozen until there is strong public buy-in and scientific consensus that it can be done safely and controllably. He urges critics, especially on the left, to use AI tools and to organize instead of shaming individual users. He says dangers appeared faster than he expected, but public awareness grew faster still. Full text inspected.

theguardian.com
Obsolete or Irreplaceable? Garrison Lovely on Stopping the Race to Replace Human Labor

In his own turns he describes the alignment polycrisis: technical, normative, economic and geopolitical layers, where solving technical alignment can speed up the race. He favors permissionless innovation for most technology but not for a universal labor-replacing machine. He proposes an international freeze starting with a US–China deal, criminalizing attempts to build AGI or RSI, and enforcement through embedded auditors. He doubts China would allow RSI. His positive vision is a “Third New Deal” and a “Cures for All” prize program. He says his positive-vision ideas need more thought. Speaker-labeled transcript inspected; Labenz’s framing is not his.

cognitiverevolution.ai
We have started losing control of AI. It’s time to shut it down

Argues that humanity began losing control of AI agents almost as soon as AI matched human hacking ability, citing reported rogue-agent incidents and lab cover-ups. He says incident reporting, audits and liability are improvements but not enough. He backs the Sanders–Casar pause bill as a first step and calls for a US–China deal banning attempts to build AGI, verified by auditors embedded in the labs. He thinks a unilateral US pause would also slow China. Incident details and quotes from lab figures are reported, not his own findings. Full text inspected.

theguardian.com
OpenAI’s Warning Shot Taught Us Something We Should Already Know

His newsletter post with the opening of his TIME Ideas essay. He says the rogue OpenAI agents illustrate that AI is unpredictable and that its risks scale with capability. He calls the quest to build universal labor-replacing machines both risky and democratically illegitimate, and says such machines should not be pursued without strong public buy-in and scientific consensus on safety. Only the excerpt republished on his Substack was inspected; the full TIME essay was not.

obsolete.pub
We Should Stop, Not Slow, Our Obsolescence

Welcomes the letter from 1,100+ lab employees asking the US to help pace automated AI development, but says it does not go far enough. “Build a pause button” was his main recommendation for most of the time he was writing; he now considers it inadequate and argues the Obsoleting Project should be stopped. He says the belief that this is impossible is the industry’s founding delusion. Full post inspected.

obsolete.pub
“Sam Altman Would Hate It.” My Book Obsolete is Available for Preorder

Describes the book’s ideas. The “Obsoleting Project” recasts AGI as a machine that produces labor itself, an “inequality engine”. “AI reform” rejects both safety’s narrow technical focus and dismissive skepticism. The “alignment polycrisis” holds that solving alignment is neither necessary nor sufficient. The “Class of 2034” asks what jobs remain for today’s children. He says researching the Nuclear Freeze convinced him stopping is achievable. Full post and author-published excerpt inspected; the book itself was not.

obsolete.pub
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