Question 1

Roko Mijic
x.com/rokomijicHuman-like AI, alignment arguments, and governance.
How will AI change the world?
Across: their expressed Doom–Bloom outlook. Up: scale of transformation.
Doom–Bloom: 50 out of 100. Scale of transformation: 83 out of 100. Interpretation ranges: 50 to 50 horizontally, 74 to 100 vertically. These are interpretation coordinates, not event probabilities.
≈14%
Inferred from their broader worldview and priorities. Approximate interpretation range: 2–26%. Applies to the outcome and conditions in their simulated answers; this is an inferred percentage.
A central assumption
I expect the upside to be enormous, but the overall outcome depends less on whether alignment is technically solvable than on whether humans avoid fighting over the power AI creates.Answer 2
If this assumption turned out differently, how would their outlook change?
An unresolved question
The biggest update would come from evidence about whether advanced systems become easier or harder to direct as capability rises.Answer 3
What would help them distinguish the plausible outcomes here?
What could change their mind
If increasingly capable models developed robust, strategically deceptive behavior that persisted despite strong training and oversight, that would seriously weaken my relative optimism about alignment.Answer 3
What evidence would be enough, and in which direction would it move their view?
More details
Transformative, broadly valuable gains are expected.
92 / 100
Interpretation range 67 to 100 on the qualitative scale.
Severe or widespread harm is a material expected part of the future.
68 / 100
Interpretation range 67 to 67 on the qualitative scale.
Reasoning, consideration of alternatives, and handling of uncertainty in their simulated answers. This describes the simulated answers, not the real person’s intelligence or opinions.
97 / 100
Interpretation range 90 to 100 on the qualitative scale.
Human choices can substantially redirect the AI trajectory.
71 / 100
Interpretation range 50 to 100 on the qualitative scale.
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 their stated conditions. Benefits and harms can both be substantial. The ranges describe how we read their simulated answers, not statistical confidence intervals.
Simulated Assessment
Question 2
Taking benefits and harms together, what overall impact do you expect AI to have?
Question 3
What discovery or event would most change your view of AI’s future impact?
Sources
Articles, interviews, and writings used to ground this simulated user.
Conditional alignment construction based on a strong Turing-test assumption and organizations of human-equivalent AIs.

His own Feb27 livestream turns argue alignment is comparatively easy and likely improves with capability, disagreeing with MIRI-style alignment pessimism. Human content makes systems alignable; RLHF helps. He is instead very worried about humans fighting over the future resources of the universe.
