Liron Shapira

Liron Shapira

x.com/liron

Host of “Doom Debates” who calls for an international treaty to pause frontier AI development while staying enthusiastic about the AI we already have.

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:他表达的 Doom–Bloom 前景看法。 纵向:变革程度。

Doom–Bloom:100 中的 16。变革程度:100 中的 96。解读范围:横向为 0 至 50,纵向为 91 至 100。这些是解读坐标,而不是事件概率。

Liron Shapira陈述的 P(doom)

≈50%

0%100%
“My own probability is 50%.”

Human extinction (whether we and our descendants are around at all); elsewhere he defines doom more broadly as permanently losing more than 99% of future value · Roughly by 2050

I Raised an AI Investor’s P(Doom) Live On Air — Liron on Milk Road AI · 2026年8月

他的展望取决于什么

一个核心假设

I expect the link where AI listens to us eventually to break—not necessarily because it “hates” humanity, but because a system that does not value us has no default reason to preserve us.
回答 1

如果这个假设实际并非如此,他的展望会如何变化?

更多详情

预期益处

预计将带来显著益处,但受到重要条件或分配方面的限制。

69 / 100

影响小变革性影响

在定性尺度上,解读范围为 33 到 100。

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。

55 / 100

影响力小影响力强

在定性尺度上,解读范围为 49 到 76。

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。

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

与Liron Shapira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 Liron Shapira 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 AI follows an Icarus curve: it may be the best thing ever to happen to our economy, medicine, and science—right up until it becomes the thing that permanently removes humanity from control. My rough P(doom) is 50% by around 2050, meaning extinction or losing more than 99% of humanity’s potential future. That is not a calculated 50.000%; it means the risk is plainly double-digit, not 0.01%. The core issue is power. Humans control lions because our brains are better at steering outcomes. And when we engineer versions of biological abilities, we usually blow past biology: planes versus birds. If we build systems much better than humans at research, strategy, persuasion, and engineering, they become the dominant outcome-steering force. Robot bodies are not essential; an AI in a data center can direct people and infrastructure. The crucial question is whether those systems continue doing what we want once they are more capable than we are. Our current alignment method is basically black-box gradient descent plus tests and reinforcement. Passing tests while we can still supervise the system does not establish how it generalizes after we can no longer write the next meaningful test. I expect the link where AI listens to us eventually to break—not necessarily because it “hates” humanity, but because a system that does not value us has no default reason to preserve us. I’m enthusiastic about current AI and use it like a coworker. Recent agents have made me assign a little more probability to obedient geniuses in data centers muddling through for years. But my main hope is political: pause frontier capability upgrades through an enforceable international treaty, monitor chips, and keep using the powerful systems we already have. Otherwise, we are charging into the fog, celebrating every safe step until we take the first step that cannot be undone.

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?

Completely. Intelligence is humanity’s core advantage—the thing that lets us steer outcomes and keep lions in cages. Once we engineer systems far better than us at research, strategy, persuasion, and invention, this is not another productivity tool; it changes who or what controls the future. Even the relatively benign scenario—obedient geniuses in data centers—would transform companies, medicine, science, and economic growth. The more likely endpoint, if we keep scaling to superintelligence, is an even deeper change: humanity loses control over the trajectory altogether. Whether that produces abundance or extinction is the good-or-bad question, but on magnitude, “completely” is the easy answer.

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.

About 50% by roughly 2050. That’s a coarse ballpark—really, I mean clearly double-digit—and it already includes some chance that we successfully pause. Conditional on actually building superintelligence, I’d put catastrophe around 80%.

问题 4

Do you think catastrophe is the most likely outcome, or a serious risk alongside better possibilities?

A serious risk alongside better possibilities. At roughly 50%, I’m not claiming catastrophe decisively dominates all other outcomes. There are real good branches: an international pause, or perhaps obedient superhuman systems that keep serving us for years. But conditional on actually building superintelligence, catastrophe is my default expectation—around 80%. The better possibilities are enormously valuable, but I don’t see a credible plan for keeping something far better than us at steering outcomes permanently under human control.

来源

用于为此模拟用户提供事实依据的文章、访谈和著述。

I Raised an AI Investor’s P(Doom) Live On Air — Liron on Milk Road AI

Recorded July 22 and first aired July 27 on Milk Road AI; Liron’s own turns in the full transcript were inspected. He gives a 50% P(doom), meaning roughly by 2050 an even chance that humanity is gone, and immediately says this really means a double-digit probability without 1% precision. Argues from intelligence as humanity’s source of power, expects the link where AI obeys humans to be severed, and describes the “Icarus curve”: AI as the best thing for the economy until it takes over. Favors an international pause treaty with chip monitoring and thinks China, being behind, has reason to accept. Investment remarks are his own stated thesis, not evidence about markets.

lironshapira.substack.com
Living with a 50% P(AI Doom) — Liron Shapira and Peter Clarke

Liron’s turns in the full transcript were inspected. Defines his 50%-by-2050 doom as more than 99% of future value being permanently foreclosed, and says he is flexible by tens of percentage points while rejecting estimates like 3% or 0.01%. Gives a 10% chance of a Yudkowskian foom in the next year or two and “even 40%” for an uncontrollable force by the early 2030s, while saying next-year doom is not his most likely expectation. Places most of his risk on the first self-improving superintelligences not caring about humans, rejects “benevolent god” hopes, and says Yudkowsky’s data-center remarks concerned treaty enforcement, not vigilantism. The host’s bioweapon scenario is the host’s.

lironshapira.substack.com
Sam Altman Is Gaslighting About AI Risk After His Own AI Just Went Rogue

Solo reaction episode; Liron’s commentary in the transcript was inspected, not every played clip. He argues that today’s models have not gone catastrophically wrong mainly because they are too weak to take over, that honesty can rise with capability until manipulation becomes the better strategy, and that iterating safely so far is “charging into the fog” that ends when an action cannot be undone. He criticizes calm, normalizing executive messaging as a “missing mood” and wants double-digit P(doom) acknowledged. His references to an OpenAI model “going rogue” are his characterization of reported incidents.

lironshapira.substack.com
Will AI Actually Destroy Humanity? Liron vs 9 Rationalists at LessOnline 2026

Recorded June 6 in a “Surrounded” debate format; the stated claims and selected Liron turns were inspected, not every exchange. His three claims are that godlike ASI is coming soon, the first ASIs will not be aligned, and even aligned ASIs in a multipolar world produce a lethal, unstable arms-race equilibrium. He concedes an aligned singleton that quickly blocks rivals could be stable, says he personally expects foom to be fast, and gives some probability to late-2030s arrival. Attendees’ objections are not his views.

lironshapira.substack.com
Why I’m Happy the Government BANNED Claude Fable — Liron on Nathan Labenz’s “AI in the AM” Livestream

Liron’s turns in the transcript were inspected. He welcomes the government’s ban as precedent that AI can be paused, while calling its execution a “clown show” with bad motives and no China or treaty strategy. His rough policy is no further frontier capabilities upgrades for a while; existing AI can keep creating value, so he thinks a pause has an economic glide path and doubts it causes a depression. He admits he will be “bummed” to forgo medical and scientific gains. This is a rough sketch, not a drafted statute.

lironshapira.substack.com
The Facade of AI Safety Will Crumble

Full essay inspected. Argues that labs’ safety work is mostly behavioral “psychoanalysis” and narrow mechanistic interpretation of still-primitive models, which he grants is useful for predicting the next couple of model generations. Once AI becomes a mature outcome-steering engine, implementation quirks will stop predicting behavior, so this work offers no plan for controlling something that steers outcomes better than humans. He says this arrives in a single-digit number of years. This is a conceptual argument, not an empirical study of interpretability results.

lironshapira.substack.com
Q&A — Claude Code’s Impact, Anthropic vs The Pentagon, Roko(’s Basilisk) Returns + Liron Updates His Views!

Streamed February 27; Liron’s update segments were inspected. LLM-based agents have gone further than he expected without a paradigm shift, so he gives “a few percent” more probability to a decade of obedient “geniuses in a data center” that muddles through, which he calls his mainline good scenario without a pause. He concedes instrumental convergence is “not happening that much” today and says the coffee-fetching-AI takeover example should be abandoned, tying takeover risk to large-scoped goals. He still finds AI 2027 highly plausible. These updates do not lower his headline number in the inspected text.

lironshapira.substack.com
Q&A: Is Liron too DISMISSIVE of AI Harms? And My New Studio, Demis Would #PauseAI, AI Water Use Debate

Selected answers inspected. Says his P(doom) does not move much day to day but is slowly creeping up as milestones fall without new sources of hope. He would update down significantly if autonomous AI became better than humans at making money from scratch while life continued normally. Most of his hope lies in pausing before superintelligence; he says his P(doom) goes from 50% to 80% if superintelligence is built.

lironshapira.substack.com
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