Favors rapid AI and biological progress while worrying about lost apprenticeships and dependence on automation.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

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

Doom–Bloom: 75 out of 100. Scale of transformation: 64 out of 100. Interpretation ranges: 75 to 75 horizontally, 46 to 79 vertically. These are interpretation coordinates, not event probabilities.

Vittorio’s estimated P(doom)

<1%

0%100%

Inferred from his broader worldview and priorities. Approximate interpretation range: 0–1%. Applies to the outcome and conditions in his simulated answers; this is an inferred percentage.

What his outlook hinges on

A central assumption

If these systems let a small team investigate problems that once required an enormous institution, we could discover treatments sooner, create entirely new tools, and give many more people access to capabilities that were previously scarce.
Answer 1

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

What could change their mind

The biggest thing would be a sustained gap between impressive demonstrations and real-world results.
Answer 2

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

More details

Expected upside

Transformative, broadly valuable gains are expected.

95 / 100

Little impactTransformative impact

Interpretation range 67 to 100 on the qualitative scale.

Expected harm

Manageable or localized harms are expected.

39 / 100

Little impactTransformative impact

Interpretation range 33 to 67 on the qualitative scale.

Demonstrated reasoning

Reasoning, consideration of alternatives, and handling of uncertainty in his simulated answers. This describes the simulated answers, not the real person’s intelligence or opinions.

90 / 100

Little demonstratedWell developed

Interpretation range 76 to 100 on the qualitative scale.

Human influence

A tentative estimate from your answers; the wider range shows other plausible readings.

51 / 100

Little influenceStrong influence

Interpretation range 0 to 100 on the qualitative scale.

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.

Simulated Assessment

Question 1

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

I think AI means dramatically cheaper intelligence, faster discovery, and a huge expansion of what humans can build. The most exciting part is not better chatbots. It is AI helping push the frontier in biology, mathematics, medicine, and engineering. If these systems let a small team investigate problems that once required an enormous institution, we could discover treatments sooner, create entirely new tools, and give many more people access to capabilities that were previously scarce. That is why I oppose treating delay as morally free. People are dying now from diseases we do not understand or cannot treat. Slowing scientific progress has victims too. Catastrophic-risk rhetoric often ignores that side of the ledger, while “alignment” is invoked without anyone explaining clearly what it means. I am far more worried about demographic decline and whether we still have children and functioning institutions than I am persuaded by vague claims that progress itself must stop. The point of automation is human flourishing—not replacing humanity. If machines do more unwanted work, people should have more time for family, children, creativity, and exploration. But I do worry about dependence. A senior engineer plus AI may eliminate junior hiring, which quietly destroys the apprenticeship pipeline that produces future senior engineers. Better AI may cover that gap, but then civilization can lose the ability to do essential work without the machines. So yes, I expect enormous benefits. I also think we need to notice when our institutions and human expertise are being hollowed out rather than pretending every consequence of progress is automatically good.

Question 2

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

The biggest thing would be a sustained gap between impressive demonstrations and real-world results. If increasingly capable systems stopped producing meaningful advances in biology, mathematics, medicine, or engineering—if “cheap intelligence” turned out to mean endless polished output without useful discovery—that would weaken the central reason for my optimism. I would also update if we saw concrete, repeated harms from dependence that outweighed those gains: institutions losing critical human expertise, apprenticeship collapsing, and AI proving unable to replace the knowledge pipeline it helped destroy. That would make the future look much more brittle. Conversely, verified scientific breakthroughs—new treatments, genuinely new biology, hard mathematical results—would strengthen my view. I do not have some magic benchmark or single alignment test. I care about what these systems actually enable, what lives they improve, and whether humans remain capable rather than becoming helpless without them.

Sources

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

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