问题 1
David Sacks
x.com/DavidSacksPresidential tech adviser who favors competition and open models over centralized AI control and holds each lab responsible for its products’ safety.
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 91。变革程度:100 中的 60。解读范围:横向为 75 至 100,纵向为 50 至 75。这些是解读坐标,而不是事件概率。
<1%
根据他的模拟回答推断,并非他们给出的数字。 合理范围:<1%。
工作与机构
It is already beginning, and I expect major changes over the next several years as AI becomes embedded in ordinary products, work, cybersecurity and infrastructure.
回答 4科学与日常生活
It is already beginning, and I expect major changes over the next several years as AI becomes embedded in ordinary products, work, cybersecurity and infrastructure.
回答 4
按里程碑分组,不按推断日期间隔或排序。AGI 和超人类 AI 保留他的定义。
一个核心假设
AI remains a technology whose effects depend on who builds it, who controls it and whether competition stays open.回答 2
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
预计将带来显著益处,但受到重要条件或分配方面的限制。
78 / 100
在定性尺度上,解读范围为 67 到 100。
预计几乎不会产生实质性的不利影响。
4 / 100
在定性尺度上,解读范围为 0 到 33。
人类的选择可以大幅改变AI的发展轨迹。
86 / 100
在定性尺度上,解读范围为 75 到 100。
停止或大幅放缓开发能力更强的AI。
模拟位置: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。
在事先落实保护措施或获得许可之前,限制所讨论的AI用途。
模拟位置:允许所讨论的AI用途,同时实施有针对性的问责与保护措施。
尽量减少对所讨论AI用途的限制。
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 David Sacks 最接近的意见领袖
David Sacks关于AI说过的话
Sacks favors competition and open models over centralized AI control, opposes a national pause, and says each lab is responsible for its products.
“A pause would not make America safer. It would hand the frontier to China.”
Post on X “The solution to AI-powered cyberattacks is AI-powered cyberdefense.”
Post on X “If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.”
Post on X “Keeping innovation decentralized and accessible is the key to avoiding an unsafe and dystopian future where advanced AI capabilities are centralized and controlled by only a few hands.”
Post on X “This means that apocalyptic predictions of job loss are as overhyped as AGI itself.”
Post on X
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。
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