10 monthly gift articles to share
如今，這場針鋒相對的言語戰正伴隨著地面上更嚴峻的對抗。
。关于这个话题，safew提供了深入分析
移住者たちはいま 地域の未来を切り開く人たち
Anthropic’s “Towards Understanding Sycophancy in Language Models” (ICLR 2024) paper showed that five state-of-the-art AI assistants exhibited sycophantic behavior across a number of different tasks. When a response matched a user’s expectation, it was more likely to be preferred by human evaluators. The models trained on this feedback learned to reward agreement over correctness.
Things were going great in the sense that breakpoints always landed in "roughly" the right spot. But the state it was in made it impossible to add new features, deprecate old behaviors, or correct ambiguity.