12:42, 27 февраля 2026Силовые структуры
icon-to-image is available open-source on GitHub. There were around 10 prompts total adding tweaks and polish, but through all of them Opus 4.5 never failed the assignment as written. Of course, generating icon images in Rust-with-Python-bindings is an order of magnitude faster than my old hacky method, and thanks to the better text rendering and supersampling it also looks much better than the Python equivalent.
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“国防部的任何恐吓或惩罚都无法改变我们在大规模国内监控或全自主武器问题上的立场”，Anthropic在声明中表示，“我们将就任何供应链风险的认定在法庭上提出挑战。”
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.