Jesse Genet

Jesse Genet

x.com/jessegenet

Former startup founder and homeschooling parent who uses AI agents for household admin and lesson prep, and hopes for affordable local models.

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 70。变革程度:100 中的 24。解读范围:横向为 65 至 75,纵向为 19 至 30。这些是解读坐标,而不是事件概率。

Jesse Genet的 P(doom) · 推断

≈2%

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:低于 7%。

他们的展望取决于什么

一个核心假设

If agents can do more of that preparation, parents can spend more time teaching, talking, building things, going outside, and actually being present with their children.
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?

什么可能使其改变看法

The biggest change would be discovering that capable AI cannot become reliably truthful, affordable, and private outside a few centralized platforms.
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。

66 / 100

影响小变革性影响

在定性尺度上,解读范围为 67 到 67。

预期危害

预计会出现可控或局部的危害。

33 / 100

影响小变革性影响

在定性尺度上,解读范围为 33 到 33。

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。

52 / 100

影响力小影响力强

在定性尺度上,解读范围为 8 到 100。

AI使用规则

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Jesse Genet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 Jesse Genet 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 can give families back time, especially by taking over the computer work surrounding family life rather than trying to replace parenting. Preparing lessons, organizing materials, managing schedules, tracking finances, and handling repetitive administrative tasks all consume attention. If agents can do more of that preparation, parents can spend more time teaching, talking, building things, going outside, and actually being present with their children. But useful agents are not magic. I think of them more like new team members: they need a defined role, good onboarding, access to the right context, and durable decisions they can refer back to. The setup friction is substantial, and something that works inside one technically engaged household is not automatically safe or secure enough to release to millions of families. Truthfulness is also especially important in education because children often do not yet know when or how to cross-check an answer. My hope—and my prediction—is that local open models become a practical, affordable, private alternative to relying on a handful of family-AI platforms. Provider pricing and terms can change, so access that looks inexpensive today may not remain that way. A future where families can run capable tools locally would give them more control over their information and make this kind of help more broadly durable.

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 change would be discovering that capable AI cannot become reliably truthful, affordable, and private outside a few centralized platforms. If families must continually expose sensitive household information, absorb unpredictable pricing, or supervise every educational answer so closely that the tool creates more work than it removes, my optimism would shrink substantially. Conversely, strong evidence that local open models can handle real household workflows safely and affordably—not just in technically adventurous homes—would strengthen my view. The key event would be ordinary families getting durable value without expert-level setup: less administration, better-prepared learning materials, and more time together. I would care more about that practical household outcome than a flashy benchmark or demo.

来源

用于为此模拟用户提供事实依据的文章、访谈和著述。

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。
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