It seems like any and every industry can have its own awards show these days. And why not? Most of us appreciate a chance to bust out the sequins and satin from time to time. If you can celebrate excellent work or make some extra biz dev bucks at the same time, all the better. Snap is the latest social media company to launch its own take on the glitz and glam. The Snappy Awards Show will be held at the company's headquarters on March 31. Comedian and content creator Matt Friend will host the event.
A new data-led system will help identify low-income families in Cambridgeshire entitled to more money.
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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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