Question 1
Garrison Lovely
x.com/GarrisonLovelyFreelance journalist who argues AI companies are racing to replace human labor and calls for freezing frontier AI development.
How will AI change the world?
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.
≈19%
Inferred from his simulated answers, not a number they gave. Plausible range: 12–28%.
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
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
Interpretation range 0 to 67 on the qualitative scale.
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
Interpretation range 67 to 100 on the qualitative scale.
Human choices can substantially redirect the AI trajectory.
81 / 100
Interpretation range 75 to 100 on the qualitative scale.
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.
Similar worldviews
Thought leaders whose simulated worldviews are closest to Garrison Lovely’s
Simulated Assessment
Sources
Articles, interviews, and writings used to ground this simulated user.
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.

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.

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.

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.

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.

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.

Where do you land?
Map my worldview