Perhaps the AI labs are not faking it
A recent discussion suggests that AI labs might not be exaggerating alignment problems for marketing purposes. The author points to a past incident where OpenAI's half-trained model solved a Millennium Prize problem, highlighting the unexpected capabilities of AI. This raises the possibility that recent, serious issues within AI labs could be genuinely problematic, leading them to withhold the full details from the public.
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发布当时偏移：UTC+02026年9月13日 14:01 UTC
收录当时偏移：UTC+02026年9月13日 18:01 UTC
- 发布
- 2026年9月13日 14:01
- 收录
- 2026年9月13日 18:01
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
A lot of the discussion assumes AI labs are exaggerating or manufacturing alignment problems for marketing or some ulterior reasons. But what if they aren’t?
Did we forget that OpenAI had a half-trained model solve a Millennium Prize problem? The model wasn’t even finished training. Do you realize how utterly bonkers that was?
Maybe something genuinely went sideways in the last few days, inside the AI labs? Something serious enough that they’re not ready to make the full picture public?