Жители Санкт-Петербурга устроили «крысогон»17:52
我們需要對AI機器人保持禮貌嗎？
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A session at Authenticate 2025 which explores the nuanced dynamics between passkeys and verifiable digital credentials, and their technological foundations across usability, privacy, trust models, and ecosystems with the goal of answering whether passkeys and verifiable digital credentials are friends or foes—and how these technologies might collaboratively shape the future of secure, user-centric digital identity systems.
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.，详情可参考heLLoword翻译官方下载
Exec runs a command and returns its exit code:。业内人士推荐Line官方版本下载作为进阶阅读
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