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.

AI将如何改变世界?

文明层面的变革渐进式变化DoomBloom
模拟位置解读范围

横向:她表达的 Doom–Bloom 前景看法。 纵向:变革程度。

Doom–Bloom:100 中的 5。变革程度:100 中的 94。解读范围:横向为 0 至 25,纵向为 89 至 100。这些是解读坐标,而不是事件概率。

Holly Elmore陈述的 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 · 2026年6月

她的展望取决于什么

一个核心假设

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

如果这个假设实际并非如此,她的展望会如何变化?

一个尚未解决的问题

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

什么能帮助她区分这里各种合理的结果?

什么可能使其改变看法

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.
回答 4

什么证据才足够,又会让她的观点朝哪个方向转变?

更多详情

预期益处

预计收益有限,或仅分布在较小范围内。

28 / 100

影响小变革性影响

在定性尺度上,解读范围为 0 到 33。

预期危害

灾难性或不可逆的损失是预期未来的核心。

100 / 100

影响小变革性影响

在定性尺度上,解读范围为 100 到 100。

人类影响力

人类的选择具有实质性但受到很大制约的影响。

57 / 100

影响力小影响力强

在定性尺度上,解读范围为 41 到 84。

预期能力

预计AI仍将是能力有限的工具。

预计AI将在大多数认知工作中达到人类水平。

模拟位置:预计AI将在认知工作中大幅超越人类。

发展速度

模拟位置:停止或大幅放缓开发能力更强的AI。

在落实所述保障措施的前提下继续开发。

加快开发能力更强的AI。

这些解读保留了她陈述的条件。益处和危害都可能很大。这些范围描述的是我们如何解读她的模拟回答,而不是统计置信区间。

与Holly Elmore相比,你的立场在哪里?
用大约3分钟描绘你自己的AI世界观,然后进行比较

相似的世界观

模拟世界观与 Holly Elmore 最接近的意见领袖

模拟评估

问题 1

你认为AI对我们的未来意味着什么?为什么?

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?

问题 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.

问题 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.

问题 4

哪项发现或事件最可能改变你对AI未来影响的看法?

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.

来源

用于为此模拟用户提供事实依据的文章、访谈和著述。

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
你的立场在哪里?
回答几个简单问题,探索你自己的AI世界观。
描绘你自己的世界观

你的立场在哪里?

描绘我的世界观