Manjit Sangha wants to raise awareness around sepsis after leaving hospital following seven months of treatment
When I'm not working, I like to cook and eat, especially Korean food. I like running, cycling, hiking, sailing, and canoeing. I play French horn. I'm also trying to learn to play tennis and pickleball and ukulele. I'm an Android enthusiast. A couple of years ago I started doing a lot with Android automations. More recently I’ve been experimenting with hosting servers and services at home.
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我們需要對AI機器人保持禮貌嗎？
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Зеленский пропустил заседание о судьбе УкраиныThe Hill: Зеленский пропустил заседание в США, где обсуждалась судьба Украины。safew官方版本下载是该领域的重要参考
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.