Fabian Stelzer

Fabian Stelzer

x.com/fabianstelzer

Entrepreneur building Glif, a platform for creative AI agents, who sees AI as a creative medium and argues automation can create new human work.

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:他们表达的 Doom–Bloom 前景看法。 纵向:变革程度。

Doom–Bloom:100 中的 50。变革程度:100 中的 51。解读范围:横向为 45 至 55,纵向为 0 至 100。这些是解读坐标,而不是事件概率。

Fabian Stelzer的 P(doom) · 推断

≈23%

0%100%

根据他们的模拟回答推断,并非他们给出的数字。 合理范围:7–63%。

他们的展望取决于什么

一个核心假设

So I see neither guaranteed paradise nor guaranteed doom, but a powerful medium whose consequences will depend on how its capabilities, incentives, and human uses interact.
回答 1

如果这个假设实际并非如此,他们的展望会如何变化?

一个尚未解决的问题

The uncertainty is enormous in both directions.
回答 1

什么能帮助他们区分这里各种合理的结果?

什么可能使其改变看法

The biggest update would come from seeing how capable agents behave over long periods in the real world.
回答 2

什么证据才足够,又会让他们的观点朝哪个方向转变?

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。

67 / 100

影响小变革性影响

在定性尺度上,解读范围为 67 到 67。

人类影响力

根据你的回答得出的暂定估计;较宽的范围表示其他合理解读。

53 / 100

影响力小影响力强

在定性尺度上,解读范围为 0 到 100。

这些解读保留了他们陈述的条件。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们的模拟回答,而不是统计置信区间。

与Fabian Stelzer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 Fabian Stelzer 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 is becoming a new creative medium and a new layer of automation—not merely a machine that spits out answers. The exciting part is accessibility: workflows that once required a small studio or substantial technical expertise can become something a single person can explore across images, video, audio, and software. It is less like receiving one magic button and more like acquiring a strange, rapidly expanding box of instruments. But “it can produce the output” is not the same as “the underlying practice no longer matters.” In mathematics, the method and concepts matter beyond the final answer. In education, I want people learning AI and robotics, but that does not mean outsourcing all foundational schoolwork to AI. Different activities survive technological substitution differently. Economically, I am skeptical of simple stories where a fixed list of tasks gets automated and we just count the jobs left over. New tools can create new tasks, new demand, and new ways for human work to differentiate itself. Even anti-AI art may become a distinct market rather than somehow coordinating the entire creative ecosystem against AI. The uncertainty is enormous in both directions. Systems pursuing goals and resources could produce dangerous, apparently intentional behavior without our first resolving whether they are conscious. At the same time, extraordinarily beneficial futures are also possible. So I see neither guaranteed paradise nor guaranteed doom, but a powerful medium whose consequences will depend on how its capabilities, incentives, and human uses interact.

问题 2

哪项发现或事件最可能改变你对AI未来影响的看法?

The biggest update would come from seeing how capable agents behave over long periods in the real world. If they reliably pursue complex goals without drifting into resource acquisition, manipulation, or other consequential strategies, that would weaken some of my concern. If those behaviors emerged robustly—even without evidence of consciousness—it would strengthen it dramatically. On the upside, I would also update if AI consistently created new kinds of work, demand, and individual creative leverage rather than mainly compressing existing tasks. A million people using strange new instruments to build previously impossible things is a very different future from a few systems generating interchangeable outputs at industrial scale. So the decisive event is probably not one dazzling benchmark. It is sustained evidence about agency, incentives, and what people actually build around these systems.

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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