家庭场景中的“天工”机器人。受供者供图
집 안 구조를 기억하는 로봇청소기가 외부 서버를 통해 노출될 수 있었다면 어떨까. 개인 개발자 한 명이 DJI 로봇청소기 통신 구조를 분석하던 과정에서 전 세계 약 7000대 기기의 데이터 응답이 확인되며 스마트홈 보안 우려가 커지고 있다. 일부 기기에서는 집 내부 평면도와 청소 위치 정보가 외부 요청에 응답할 수 있는 구조였던 것으로 드러났다.
。关于这个话题，im钱包官方下载提供了深入分析
At its core, a stream is just a sequence of data that arrives over time. You don't have all of it at once. You process it incrementally as it becomes available.
Мерц резко сменил риторику во время встречи в Китае09:25
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.