Protein engineering fixes a major crop trade-off

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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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"You wish there was some telepathy and you could reach out and be like, 'listen, we're coming'."

"Huh, that's strange. Trump's DOJ did that?" Lydic said. "The same DOJ that promised to release the Epstein files and then gave influencers binders filled with old documents and they wouldn't release more, so Congress had to pass a law saying that they had to, but they still missed the deadline to release the files, and then when they finally did, the files were riddled with sketchy redactions? That DOJ? Nah, I can't see it."

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