It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
Anthropic 指控三家公司通过约 2.4 万个虚假账号,在违反服务条款和地区访问限制的情况下,用 Claude 生成了超过 1600 万次对话,用于训练各自的模型。
。业内人士推荐heLLoword翻译官方下载作为进阶阅读
Windows: %USERPROFILE%\.claude\settings.json (通常是 C:\Users\您的用户名\.claude\settings.json)
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Anthropic was the first tech company approved to work in the Pentagon's classified military networks and has partnerships with companies including Palantir.
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