问题 1
Paul Krugman
NewsletterEconomist who writes about AI’s economic returns, inequality, infrastructure costs and risks to society.
AI将如何改变世界?
横向:他表达的 Doom–Bloom 前景看法。 纵向:变革程度。
Doom–Bloom:100 中的 31。变革程度:100 中的 69。解读范围:横向为 25 至 36,纵向为 47 至 78。这些是解读坐标,而不是事件概率。
≈11%
根据他的模拟回答推断,并非他们给出的数字。 合理范围:5–23%。
一个核心假设
Extreme inequality and weak labor power make it much more likely that gains will be captured at the top.回答 1
如果这个假设实际并非如此,他的展望会如何变化?
一个尚未解决的问题
I don’t have a defensible percentage, and attaching one would create a false impression of precision.回答 3
什么能帮助他区分这里各种合理的结果?
什么可能使其改变看法
The most important event would be clear, sustained evidence that AI is producing broad economy-wide productivity gains—not merely impressive demonstrations, soaring valuations or profits for a few firms.回答 4
什么证据才足够,又会让他的观点朝哪个方向转变?
更多详情
仍有几种解读是合理的:预计收益有限,或仅分布在较小范围内。 / 预计将带来显著益处,但受到重要条件或分配方面的限制。
49 / 100
在定性尺度上,解读范围为 33 到 67。
严重或广泛的危害预计将是未来不可忽视的一部分。
67 / 100
在定性尺度上,解读范围为 67 到 67。
人类的选择具有实质性但受到很大制约的影响。
53 / 100
在定性尺度上,解读范围为 47 到 78。
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。
相似的世界观
模拟世界观与 Paul Krugman 最接近的意见领袖
Paul Krugman关于AI说过的话
Krugman separates uncertain economic returns from AI’s growing political, cognitive and safety risks.
“And we should be afraid – very afraid.”
Essay, One More Reason Americans Hate AI: It Does Nothing for Them “Will AI transform the economy? The jury is still out on that one”
Essay, Why Is Trump Still Boosting AI? “AI is clearly a major technological shock, and it may take years before we fully understand its economic and social impacts.”
Essay, AI in an Age of Oligarchy “My concern here isn’t about testing; it’s about learning.”
Essay, What Will AI Do To Our Minds? “Indeed, requiring that the AI industry take responsibility for the costs it imposes makes a lot of sense.”
Essay, AI Is Power-Hungry
逐字引自所链接的出处,核对于 2026年10月3日
模拟评估
来源
用于为此模拟用户提供事实依据的文章、访谈和著述。
Full authored essay inspected, excluding comments. Takes autonomous hacking and deception seriously and says people should be afraid, while also recognizing financially motivated doom hype. Explains backlash through concentrated benefits, interest rates and few jobs even during an enormous investment boom. Distinguishes projected capital expenditure from completed spending. This is not a settled forecast that AI delivers no future benefits.

Full authored essay inspected. Economic transformation remains unresolved: little evidence yet of promised productivity or mass job losses, but early days. Political transformation and backlash already matter. Criticizes opposition to regulation, personal financial interests and reliance on AI investment as political salvation. Notes possible danger to humanity; economic uncertainty is not risk dismissal.

AI section inspected through the transition to climate. Applauds industry leaders acknowledging existential danger and calling for restraint; supports regulatory pacing covering unwilling firms. Worries about autonomous weapons and officials removing precautions. His use of reported incidents and researchers’ warnings shows concern, not a numerical extinction estimate or an independently established technical mechanism. Embedded Amodei and Trump quotations are not Krugman’s words.

Public opening inspected; subscriber-only sections not used. Calls AI a major technological shock whose consequences take years to understand. Existing wealth and political inequality magnify harms; progressive taxation, robust regulation and antitrust could contain them, and backlash might challenge oligarchy. This is explicit substantial-change language rather than an incremental-impact commitment.

Public opening inspected; subscriber-only evidence sections not used. Worries that outsourcing answers undermines learning to reason, leaving students unable to detect misleading output. Frames AI as accelerating an older search-and-smartphone trajectory: short-term benefits can coexist with long-term cognitive damage. Says educational harm can be very hard to repair; no quantitative cognitive-loss forecast is supplied.

Full authored essay inspected, excluding comments. Reports little personal AI use and an impression that Claude is useful for serious work. Defends restrictions on autonomous weapons and mass surveillance. Criticizes retaliatory procurement restrictions as corruption and harmful to expertise and national security. His legal characterization is his argument, not independent legal verification.

Published named transcript inspected at the introduction and exchanges on chips, electricity and investment returns. Krugman admits limited technical understanding, questions whether returns justify investment, points out limits to subscription affordability and asks whether cheaper approaches threaten incumbents. Kedrosky’s chip-failure estimates, token shares and prediction that architectures will not yield AGI are not Krugman’s positions.

Named AI discussion inspected. Translation, speech recognition and ordinary code are useful achievements; ultimate economic effects are unsettled. Historical aggregate employment adaptation can coexist with destroyed livelihoods. Offers possible equalization through renewed value for material-world skills, and asks whether capital requirements entrench wealth. Does not endorse Wolf’s computer-president hypothetical or his account of scientific applications. Transcript refers to a June recording context; October is the page’s publication date.

Full authored essay inspected. Explicitly distinguishes short-term recession risk from long-term technological unemployment. Energy constraints could interrupt the investment boom supporting growth. Telecom history shows that genuinely valuable technology can still produce a disastrous investment bust if returns arrive too late. Environmental burdens and weak enforcement matter alongside financial fragility.

Full authored essay inspected. AI’s apparently immaterial interface hides physical resources and labor. Electricity capacity can constrain growth and ratepayers can subsidize data centers. Favors making the industry bear its costs and exploring efficient focused models, which he says need not end AI progress. Opposition to renewables conflicts with powering the proposed buildout.

Authored opening and named transcript passages on productivity and valuations inspected. Calls the technology apparently revolutionary while admitting economists’ technical gaps. Recalls desktop computing transforming his own research before gains appeared in aggregate data. Separates impressive technology from investor profits; competing firms cannot all win monopoly positions. Brynjolfsson’s quantitative growth expectations and trillions-of-value forecast are excluded.

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