许多读者来信询问关于Electric的相关问题。针对大家最为关心的几个焦点，本文特邀专家进行权威解读。
问：关于Electric的核心要素，专家怎么看？ 答：COCOMO was designed to estimate effort for human teams writing original code. Applied to LLM output, it mistakes volume for value. Still these numbers are often presented as proof of productivity.
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问：当前Electric面临的主要挑战是什么？ 答：Now, the interface with the machinery of work is changing once again: from the computer to AI. This isn’t meant as a grandiose statement about the all-encompassing power of AI. I mean, simply, that if you want to get things done, it’s increasingly obvious that the best way is going to be through some kind of conversation with a machine, especially when the machine can then go and complete the task itself. Think of an admin-enabling app, whether it’s Outlook, Teams or Expedia. It’s hard to see a future where they’re not either replaced or mediated by AI.
来自行业协会的最新调查表明，超过六成的从业者对未来发展持乐观态度，行业信心指数持续走高。
问：Electric未来的发展方向如何？ 答：🔗Porting, rewriting, and rewriting again
问：普通人应该如何看待Electric的变化？ 答：CBC live updates
展望未来，Electric的发展趋势值得持续关注。专家建议，各方应加强协作创新，共同推动行业向更加健康、可持续的方向发展。