Hurdle hints and answers for February 28, 2026

· · 来源:farm资讯

I don’t use all of the colors available from most smart lights, but I do like bright cool white light during the day and nice warm white light in the evening. When the back of the desk was close to a white wall, I had a pair of Govee Flow Plus light bars mounted behind the monitors. The light reflected off the wall, providing really nice background light. That doesn't work now that the back of the desk is not close to a wall. Now, for ambient lighting in the evening, I have six Taysing LED mini indoor spotlights on a smart plug. They’re pointed at the wall, ceiling, and desktop and provide just the right amount of warm background light.

Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.

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