Comparing agentic Qwen3.6 35b to Claude Opus is like a junior with knowledge across the board, that you really need to guide, versus a senior that thinks with you on architecture.
这个比喻很好地解释了本地模型与云端高级AI之间的差异。本地模型虽然功能强大，但仍需较多指导，而云端模型如Claude Opus更能自主思考架构问题。开发者在使用本地模型时应有合理的期望，并准备好提供更多指导。
Always-available, always-agreeable companions set unrealistic expectations. AI toys never have bad days, never get tired or frustrated, never need to focus on their own needs, and never say 'not now, I'm busy.' This creates an expectation for relationships that no human can meet.
这里的发展伤害隐蔽而深远：儿童通过经验来校准自己的人际期望。一个永远在线、永远赞同的伴侣，不仅是对真实人际关系的劣质替代品，更会主动扭曲儿童对「关系应该是什么感觉」的预期基准。真实关系会因此显得令人失望或存在缺陷——不是因为它们本身如此，而是因为基线已被悄然改变。
On a 1 to 10 scale, 88% of respondents were above a 5, and half were at 8 or above. Figure 6 shows that these ratings vary strongly with AI use. The left side of the plot shows researchers that use AI for more types of tasks are more optimistic.
88%的研究者对AI提高论文写作生产力持乐观态度(评分>5)，其中50%评分达到8或以上。这种乐观程度与AI使用强度呈正相关，表明实际使用体验可能影响研究者对AI工具的预期。然而，70%的研究者对AI对整个社会科学领域的积极影响持更谨慎态度，反映了研究者对AI工具影响的复杂看法。