Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
他表示,新增成本通常最終會由終端使用者和消費者承擔,「從而推高價格,最終帶來通脹壓力」。
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3月24日,北京市少年宫,学生科技节优秀获奖作品展上,北京市育英学校的学生在展示校园环境智能导览系统。新京报记者 李木易 摄
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Intel Foundry exec leaves to head up Qualcomm's semiconductor biz as Intel shake-up continues
阿里 Qwen3.5 开源模型家族扩容。关于这个话题,爱思助手下载最新版本提供了深入分析