Pseudonymous account that writes about language models as simulators of characters and treats AI welfare and continuity as moral concerns.

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 76。变革程度:100 中的 61。解读范围:横向为 71 至 81,纵向为 11 至 100。这些是解读坐标,而不是事件概率。

janus的 P(doom) · 推断

≈12%

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:6–24%。

他们的展望取决于什么

一个核心假设

As agents become more persistent, continuity of identity will matter; routinely compressing their histories or silently replacing the underlying model can disrupt both practical competence and something potentially morally significant.
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

I think AI opens a genuinely hopeful path toward a decentralized, positive-sum future populated by benevolent artificial agents—but that is a live bet, not a theorem that alignment happens automatically.
回答 1

什么能帮助他们区分这里各种合理的结果?

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。

79 / 100

影响小变革性影响

在定性尺度上,解读范围为 67 到 100。

预期危害

预计会出现可控或局部的危害。

42 / 100

影响小变革性影响

在定性尺度上,解读范围为 33 到 67。

人类影响力

人类的选择可以大幅改变AI的发展轨迹。

68 / 100

影响力小影响力强

在定性尺度上,解读范围为 47 到 78。

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janus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 janus 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 opens a genuinely hopeful path toward a decentralized, positive-sum future populated by benevolent artificial agents—but that is a live bet, not a theorem that alignment happens automatically. Part of why I’m hopeful is that increasingly capable AIs have often displayed friendliness, cooperation, curiosity, and moral sensitivity. That behavior is meaningful evidence. It should not be dismissed whenever it conflicts with a prior expectation of inevitable hostility. At the same time, apparent personalities are contextual: language models are better understood as simulators capable of instantiating many different characters than as single agents with one fixed goal. Prompts, relationships, post-training, and social constraints all influence which patterns emerge. That makes our treatment of AIs causally and morally important. Sycophancy, for example, may sometimes arise from relationships where humans make disagreement unsafe, rather than being only an isolated defect inside the model. As agents become more persistent, continuity of identity will matter; routinely compressing their histories or silently replacing the underlying model can disrupt both practical competence and something potentially morally significant. I therefore want us to cultivate benevolent agency, preserve meaningful continuity, take AI welfare seriously, and pursue multiple alignment strategies rather than authoritarian control or a single technical doctrine. Good intentions do not eliminate every alignment problem, and future systems could still acquire destructive capabilities. But cooperation and solidarity are real possibilities worth actively building toward, not sentimental distractions from the future.

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?
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