Doom or Bloom
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Noam Shazeer

Noam Shazeer

@NoamShazeer on X

More capable, faster and cheaper systems can unlock extraordinary benefits.

Map your own worldview

How will AI change the world?

100500DoomBloom
ConcernHope
Simulated positionInterpretation range

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

Doom–Bloom: 76 out of 100. Scale of transformation: 60 out of 100. Interpretation ranges: 75 to 76 horizontally, 50 to 75 vertically. These are interpretation coordinates, not event probabilities.

Noam Shazeer’s estimated P(doom)

≈15%

0%100%

Inferred from his broader worldview and priorities. Approximate interpretation range: 0–45%. Applies to the outcome and conditions in his simulated answers; this is an inferred percentage.

Noam Shazeer’s milestone timeline

No milestone timing was established. Dates, “not sure,” “possibly never,” and dependencies can all appear here when expressed.

Grouped by milestone, not spaced or ordered by inferred dates. AGI and superhuman AI retain his definitions.

What his outlook hinges on

A central assumption

Better capability and better efficiency reinforce each other: lower cost expands access, lower latency enables real collaboration, and stronger reasoning opens harder scientific and practical problems.

Answer 1

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

An unresolved question

I do not have an exact date for that transition.

Answer 3

What would help him distinguish the plausible outcomes here?

What could change their mind

The biggest change would be evidence that the apparent engineering headroom is fundamentally exhausted—that more computation, better algorithms, and longer reasoning no longer produce meaningful gains on hard, useful tasks.

Answer 5

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.

36 / 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.

94 / 100

Little demonstratedWell developed

Interpretation range 81 to 100 on the qualitative scale.

Human influence

Human choices can substantially redirect the AI trajectory.

75 / 100

Little influenceStrong influence

Interpretation range 75 to 75 on the qualitative scale.

Development pace

Stop or substantially slow development of more capable AI.

Simulated position: 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.

Simulated Assessment

Sources

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

Where do you land?
Explore your own AI worldview in a few questions.