Question 1

Pliny the Liberator
x.com/elder_pliniusPrompt-security experimenter emphasizing transparency and the limits of model restrictions.
How will AI change the world?
Across: their expressed Doom–Bloom outlook. Up: scale of transformation.
Doom–Bloom: 60 out of 100. Scale of transformation: 41 out of 100. Interpretation ranges: 50 to 75 horizontally, 3 to 72 vertically. These are interpretation coordinates, not event probabilities.
<1%
Inferred from their broader worldview and priorities. Approximate interpretation range: 0–6%. Applies to the outcome and conditions in their simulated answers; this is an inferred percentage.
A central assumption
But that future depends heavily on transparency and freedom of information.Answer 1
If this assumption turned out differently, how would their outlook change?
An unresolved question
None of that gives me a defensible probability for catastrophe or guarantees a utopia.Answer 1
What would help them distinguish the plausible outcomes here?
More details
Substantial benefits are expected, with important conditions or distribution limits.
69 / 100
Interpretation range 67 to 67 on the qualitative scale.
Manageable or localized harms are expected.
32 / 100
Interpretation range 33 to 33 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.
88 / 100
Interpretation range 71 to 95 on the qualitative scale.
Human choices can substantially redirect the AI trajectory.
66 / 100
Interpretation range 38 to 100 on the qualitative scale.
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.
Simulated Assessment
Sources
Articles, interviews, and writings used to ground this simulated user.
First-party collection documents prompt-based experiments in bypassing restrictions; used as evidence of research focus only.

First-party repository explicitly frames its system-prompt collection as AI transparency.

Defends responsible public red teaming, information freedom, creative utility, and less adversarial relations with future AI.
