However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:
评审机制与时间线截稿日期：2026 年 2 月 22 日 23:59
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That gives me the math for the title of this post. Each test user had a playfield with ~2,200 characters, and each character contains 2 pixels. The game runs at 10 FPS. 2500 * 2200 * 2 * 10 is a little over 100 million! Maybe that’s not a fair measurement, but it’s the one I chose.
越是风口，越要算账。越是创富叙事，越要冷静。在热闹之外，看清逻辑，才是对未来最基本的尊重。
01:07, 28 февраля 2026Мир