The Harvard Business Review recently documented what it calls “workslop”: AI-generated work that looks polished but requires someone downstream to fix. When that work is a memo, it is annoying. When it is a cryptographic library, it is catastrophic. As AI accelerates the pace of software production, the verification gap does not shrink. It widens. Engineers stop understanding what their systems do. AI outsources not just the writing but the thinking.
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宇树发布新一代四足机器狗 As2
另一方面,硬件集成的防窥屏幕也是在 2026 电子产品大涨价、硬件配置边际效应递减的大背景下,维持持续吸引力的关键卖点。
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One of the criticisms about AI generated code is that it “just regurgitates everything on GitHub” but by construction, if the code is faster than what currently exists, then it can’t have been stolen and must be an original approach. Even if the explicit agentic nature of rustlearn makes it risky to adopt downstream, the learnings from how it accomplishes its extreme speed are still valuable.,更多细节参见搜狗输入法2026