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.
The Sentry intercepts the untrusted code’s syscalls and handles them in user-space. It reimplements around 200 Linux syscalls in Go, which is enough to run most applications. When the Sentry actually needs to interact with the host to read a file, it makes its own highly restricted set of roughly 70 host syscalls. This is not just a smaller filter on the same surface; it is a completely different surface. The failure mode changes significantly. An attacker must first find a bug in gVisor’s Go implementation of a syscall to compromise the Sentry process, and then find a way to escape from the Sentry to the host using only those limited host syscalls.
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市集一角，“云游”北京中轴线结束，沙特女孩瓦阿德·哈尔比摘下VR（虚拟现实）设备后意犹未尽：“我乘坐马车在紫禁城里游览，‘飞上’屋脊看到神兽，听到暮鼓晨钟，俯瞰中轴线夜景。这种身临其境般的‘旅游’让我感受到中国文化的厚重历史和魅力，激起我去中国旅游的浓厚兴趣。”
在智能汽车产业链中，芯片确实是“心脏”。蔚来坚持自研，展现了其不愿将命运交予他人的决心。在复杂的国际地缘政治背景下，这种“自主可控”的尝试本身就具有战略意义。从换电到芯片，李斌一次次通过资本运作构建护城河，试图用长期的技术投入换取未来的爆发。