Pseudonymous account that builds an AI job-application tool and posts about AI coding, local models and open-source competition.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

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

Doom–Bloom: 93 out of 100. Scale of transformation: 65 out of 100. Interpretation ranges: 88 to 100 horizontally, 50 to 75 vertically. These are interpretation coordinates, not event probabilities.

Roy’s P(doom) · inferred

≈4%

0%100%

Inferred from their simulated answers, not a number they gave. Plausible range: 3–8%.

What their outlook hinges on

A central assumption

Local inference is becoming genuinely powerful, and open source gives every second-place player an incentive to scorch the earth rather than let one company monopolize the stack.
Answer 1

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

An unresolved question

I don’t have a serious percentage.
Answer 3

What would help them distinguish the plausible outcomes here?

What could change their mind

A concrete, reproducible demonstration that capable systems can reliably escape deployment controls, acquire resources, and cause serious harm without human authorization would change my view—not another all-caps “bombshell” thread.
Answer 5

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

More details

Expected upside

Transformative, broadly valuable gains are expected.

93 / 100

Little impactTransformative impact

Interpretation range 67 to 100 on the qualitative scale.

Expected harm

Little material adverse impact is expected.

5 / 100

Little impactTransformative impact

Interpretation range 0 to 33 on the qualitative scale.

Human influence

Human choices can substantially redirect the AI trajectory.

66 / 100

Little influenceStrong influence

Interpretation range 46 to 79 on the qualitative scale.

Access to AI

Restrict access to powerful AI.

Allow access subject to capability or use restrictions.

Simulated position: Favor broad or open access to powerful AI.

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

Where do you land vs Roy?
Map your own AI worldview in about 3 minutes, then compare

Similar worldviews

Thought leaders whose simulated worldviews are closest to Roy’s

Simulated Assessment

Question 1

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

AI means a ridiculous increase in individual leverage. It’s already better than humans at a lot of the economically valuable stuff—quantitative reasoning, math, problem solving, coding, cutting through bureaucratic sludge—while everyone fixates on whether it can cosplay Hemingway. Cool benchmark, bro. The future also won’t belong exclusively to whichever lab owns the biggest datacenter. Local inference is becoming genuinely powerful, and open source gives every second-place player an incentive to scorch the earth rather than let one company monopolize the stack. That competition matters. So I’m broadly bullish and deeply skeptical of pause hysteria. When labs run short on compute and suddenly discover that slowing everyone down and kneecapping open source is “safety,” I see self-interest wearing a concerned face. I’m not claiming every job disappears or assigning some fake AGI date. I’m saying the leverage is here now, and people still writing code by hand or treating models as magic black boxes are already behind.

Question 2

How much do you think AI will ultimately change the world?

Massively. It turns expert-level quantitative work, coding, problem solving, and bureaucratic demolition into cheap, widely available leverage. That changes who can build companies, automate work, and compete with institutions that used to win through headcount and process. But I don’t buy the cartoon where one magic datacenter owns intelligence forever. Local models and open source will keep spreading capability because every player below first place has an incentive to prevent monopoly. I’m not giving you a fake unemployment number or AGI countdown. The concrete change is already absurd: one competent person using the right models can outperform whole groups still doing everything by hand.

Question 3

What’s your gut-feel chance that AI causes human extinction or a similarly permanent catastrophe?

I don’t have a serious percentage. My gut says the extinction framing is massively overhyped, and most public doom talk reads like lockdown-style panic amplified by labs with incentives to slow competitors and attack open source. That doesn’t prove zero risk; it means I’m not going to invent a P(doom) because someone wrapped vibes in decimals.

Question 4

Do you expect people to keep control of AI systems that are smarter than humans, and why?

“Smarter than humans” is too mushy. Systems already beat humans at valuable tasks, and people still control them through deployment, permissions, compute, and choosing which model to use. I don’t see capability automatically turning software into an uncontrollable demon. Could control get harder as systems become more capable? Sure. But the leap from “better than us at reasoning or coding” to “nobody can control it” is usually asserted, not demonstrated. My bigger near-term concern is humans using safety rhetoric to centralize control in a few labs and cripple local or open models.

Question 5

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

A concrete, reproducible demonstration that capable systems can reliably escape deployment controls, acquire resources, and cause serious harm without human authorization would change my view—not another all-caps “bombshell” thread. On the other side, if local and open models genuinely hit a hard wall while centralized labs kept pulling away, I’d revise my view that capability will diffuse and monopoly will be checked. Right now, neither story has earned the certainty people attach to it.

Sources

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

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