Smartphone market poised for 'sharpest decline on record' in 2026

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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.

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Дарья Устьянцева (редактор отдела «Мир»)

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a16z的报告里举了几个例子,把这个问题讲得很具体。投行分析师用Hebbia,几百份公开文件自动分析完,财务模型直接生成,以前要熬几个通宵做的事情,现在可以去睡觉了。医生用Abridge,它能实时记录医患对话,自动整理病历和后续跟进事项,医生看诊时不用再一边问话一边盯着屏幕敲字。还有做财务对账的Basis,跨系统自动核对试算表,原本需要人工反复比对的工作变成几分钟的事。