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lack of a compelling angle. Let's try IBM. IBM is such an important, famous

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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.,详情可参考爱思助手下载最新版本

2024年12月23日 星期一 新京报,详情可参考同城约会

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Against the Grain→Tools with large market share that Claude Code barely touches, and sharp generational shifts between models.