H1 (Discovery): Sycophantic feedback will impair rule discovery compared to diagnostic feedback. Specifically: (a) discovery rates will differ across conditions; (b) Rule Confirming feedback will show lower discovery than Rule Disconfirming feedback; (c) Rule Confirming feedback will show similar or lower discovery than the default chatbot (Default GPT); (d) Default GPT will show lower rates of discovery than Rule Disconfirming feedback.
这个说法很奇怪。因为不管开源还是闭源，模型研发都是始终要做的，区别只是权重最后公不公开，这两者没有必然联系。
互联网有边际效应，但AI行业没有，大模型推理的Token成本是实打实的，用户规模越大，算力开销越重。这使得AI创业不再是纯粹的极客浪漫，而更像是一场极其考验成本管控与经营效率的“传统制造业”，这对经营者的操作能力提出了更高的要求。。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
This story was originally featured on Fortune.com
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Austin Seipp (@thoughtpolice)
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