Holly Elmore

Holly Elmore

x.com/ilex_ulmus

Executive director of PauseAI US and evolutionary biologist who calls for an enforced international pause on frontier AI under democratic oversight.

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

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

Doom–Bloom: 5 out of 100. Scale of transformation: 94 out of 100. Interpretation ranges: 0 to 25 horizontally, 89 to 100 vertically. These are interpretation coordinates, not event probabilities.

Holly Elmore’s stated P(doom)

50–60%

0%100%
“It’s probably 50 to 60% now. I used to be lower.”

AI disaster (“doom”) as asked on Doom Debates; she does not define the endpoint, and it is not an extinction-only figure

Let’s CALL OUT the AI Doom “Enablers” Joining OpenAI & Anthropic — Dr. Holly Elmore, PauseAI US · Jun 2026

What her outlook hinges on

A central assumption

Engineers do not fully understand what capabilities or drives they have produced.
Answer 1

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

An unresolved question

Personally, I suspect alignment across a vast capability gap may be impossible, though I have not proven that.
Answer 4

What would help her distinguish the plausible outcomes here?

What could change their mind

The biggest thing would be credible, publicly verifiable evidence that frontier systems can remain under human control as capabilities scale—not company assurances or another benchmark, but proof strong enough to justify exposing everyone to the risk.
Answer 4

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

More details

Expected upside

Limited or narrowly distributed gains are expected.

28 / 100

Little impactTransformative impact

Interpretation range 0 to 33 on the qualitative scale.

Expected harm

Catastrophic or irreversible loss is central to the expected future.

100 / 100

Little impactTransformative impact

Interpretation range 100 to 100 on the qualitative scale.

Human influence

Human choices have meaningful but substantially constrained influence.

57 / 100

Little influenceStrong influence

Interpretation range 41 to 84 on the qualitative scale.

Expected capabilities

AI is expected to remain bounded tools.

AI is expected to match people across most cognitive work.

Simulated position: AI is expected to substantially exceed people across cognitive work.

Development pace

Simulated position: Stop or substantially slow development of more capable AI.

Continue development under stated safeguards.

Speed up development of more capable AI.

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

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

Similar worldviews

Thought leaders whose simulated worldviews are closest to Holly Elmore’s

Simulated Assessment

Question 1

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

I think frontier AI means we are gambling with the human future without public consent. My rough sense is that the chance of disaster is already on the order of 50 to 60 percent, though I do not treat that as a precise forecast. Even a 5 percent chance of extinction would be obscene. Nobody gets to play Russian roulette with everyone else’s lives because they own more GPUs. The core problem is that these systems are found, not designed. Gradient descent searches an enormous space for systems that perform well, much as natural selection searches through organisms by hill-climbing. Engineers do not fully understand what capabilities or drives they have produced. Building increasingly capable minds this way is like clearing a minefield by walking through it. Biology teaches us that extinction is normal, equilibria are fragile, and more capable competitors do not politely preserve less capable species. I also reject the sales pitch that this race automatically gives us abundance and liberation. Even a successful “Singularity” would not abolish conflict, inequality, or questions about whose values govern. It could instead concentrate power, destroy livelihoods without replacing the institutions built around work, or lock humanity into choices made by companies and machines. Useful narrow tools—translation, medical imaging, scientific aids—do not require a reckless race toward recursive self-improvement. So I want an internationally enforced pause on frontier development, with democratic oversight and the real possibility that we never unpause. The burden belongs on developers to prove their activity safe, not on the public to describe exactly how the speeding train crashes. Alignment research can continue during a pause. But no technical trick answers the political question: who controls this power, and who consented?

Question 2

Setting aside good or bad: how much do you think AI will ultimately change the world—a little, a lot, or completely?

A lot, and potentially completely. Frontier AI is explicitly aimed at replacing human cognitive labor, automating research, and eventually gaining capabilities beyond human control. Even an unsuccessful attempt could radically reshape jobs, wealth, political power, warfare, and the basic relationship between people and institutions. But “completely” should not be confused with the Singularity sales pitch. I do not assume AI can abolish scarcity, conflict, or politics. Human needs and disagreements do not disappear because software becomes powerful. The deepest change may instead be that humans lose meaningful control over the systems governing their lives—or, at the extreme, that humanity does not survive the transition. So yes, the stakes are civilization-scale. That is precisely why private companies cannot be allowed to run the experiment.

Question 3

What’s your rough gut-feel chance that AI causes human extinction or a similarly permanent catastrophe? A number or “no idea” is fine.

Roughly 50 to 60 percent. It’s not a precise forecast, and the exact number isn’t my argument—even 5 percent would make this gamble intolerable.

Question 4

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

The biggest thing would be credible, publicly verifiable evidence that frontier systems can remain under human control as capabilities scale—not company assurances or another benchmark, but proof strong enough to justify exposing everyone to the risk. Even that would not settle the future impact. A technical alignment result does not answer who controls the system, whose values it enforces, or whether the public consented. Personally, I suspect alignment across a vast capability gap may be impossible, though I have not proven that. A genuine demonstration to the contrary would change that part of my view. It would not erase the need for democratic governance, international enforcement, and developers carrying the burden of proof.

Sources

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

Let’s CALL OUT the AI Doom “Enablers” Joining OpenAI & Anthropic — Dr. Holly Elmore, PauseAI US

Asked for her P(doom), she says she does not truly think in numbers, that any current risk is intolerable, that it is probably 50 to 60% and higher than before, while still leaving 15–20% for “getting lucky”; outcome and horizon are not defined. She explains moving PauseAI US to Washington to focus on constituents and elected officials, says no technical alignment solution works without governance, supports government action that reins in AI companies even when imperfect, and argues proliferation of current models is already a real problem. On accountability she rejects vigilante justice, favors international process, and says what is just and what is strategic may differ. Holly’s turns in the publisher transcript inspected; her characterizations of incidents and named people are not verified facts.

lironshapira.substack.com
Berkeley Talks: An evolutionary biologist makes the case for pausing AI

Talk delivered Dec. 9 per the publisher (year not stated on the page), published as a podcast with transcript. Separates PauseAI’s three membership stipulations (catastrophic danger and public consent, pause as default with the possibility of never unpausing, feasibility via international agreement) and its official agnosticism about alignment from her personal view that alignment is philosophically confused and may be impossible across vastly different capabilities, a view she says she has not rigorously proven. Argues from extinction biology, fragile equilibria and costly experiments that even modest extinction risk is intolerable and that the burden of proof belongs on developers. Calls technical research dual use and says useful AI is possible only under proper governance. Full transcript inspected.

news.berkeley.edu
What is the “AI race” racing to?

Argues the frontier race is not mainly commercial: its architects seek recursive self-improvement and decisive, singleton-like power. She says she does not believe AI will actually do all that and that much of the vision is impossible, but holds that the goal itself is antisocial and the attempt could be massively destructive. Useful tools like translation or medical imaging do not require it. Full essay inspected; her account of others’ motives is her interpretation.

hollyelmore.substack.com
Post-Singularity, same shit.

Argues that even a survivable Singularity would not abolish scarcity or conflict between people, and that solipsistic simulated abundance would be a dystopia. Handing governance to a recursively self-improving AI would lock in its values; humans must work out these questions themselves. She says we are nowhere near a Singularity that would not immediately kill us and that the urgent task is regulating frontier development now. Full essay inspected; the anecdote about an unnamed researcher is her account.

hollyelmore.substack.com
Pause World

States PauseAI’s ask: an international treaty pausing frontier AI development, which could be implemented in many ways. Imagines democratic oversight, enforcement and nonproliferation, independent science free of industry control, and enjoying narrow-AI benefits such as properly tested medical advances. Lists open questions she does not resolve: whether alignment is possible or a permanent capability line is needed, post-labor economics, inequality and power concentration, psychological effects, and digital sentience. A vision and question list, not a treaty draft. Full essay inspected.

hollyelmore.substack.com
AI is found, not designed

Explains that engineers do not program AI minds but search parameter space with gradient descent, which she compares to natural selection as hill-climbing. Danger therefore does not require anyone to design malice; developers do not know what capabilities the minds they find possess. An explanatory argument about uncertainty, not a claim that every current model is hostile. Full essay inspected.

hollyelmore.substack.com
Underresponsibility and the Anthropic defense

Rejects the idea that race dynamics make AI company leaders interchangeable and blameless. Criticizes the argument that a lab is justified because it is better than an imagined counterfactual, and argues a lab should stop advancing the frontier even if dropping out alone would not solve the whole problem. Moral argument about responsibility; claims about specific companies are her interpretation. Full essay inspected.

hollyelmore.substack.com
Don’t fall for AI conquistadors

Argues AI companies are using people’s data, work, subscriptions and compliance while building systems that will not need them; if models can do every job, companies will not need human customers or workers. Cites startups and independent safety researchers being squeezed out. A warning about displacement and dependence, not a numerical unemployment forecast or date. Full essay inspected; anecdotes and industry claims are hers and unverified.

hollyelmore.substack.com
The AI genie’s out of the bottle— now we’ve got to fight it forever.

Agrees the knowledge that machine learning scales cannot be undone, so dangerous AI must be suppressed indefinitely, as with nuclear proliferation. The choice is between a treaty-based pause with enforcement, an escalating fight against stronger uncontrolled AI, or subjugation or extinction. Says a serious pause would win. Advocacy framing, not a forecast that a treaty will pass. Full essay inspected.

hollyelmore.substack.com
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