Wireless earbuds and music streaming services have normalized listening to your favorite songs at a lower quality. For anyone who doesn't consider themselves an audiophile, that might not matter, but now that several streaming services offer higher sample rates and lossless audio, you might consider other ways of listening. In order to experience all the benefits of high-res or lossless audio, you need wired headphones, something that's increasingly difficult when most smartphones only have a USB-C port. That's where the iFi GO Link 2 comes in. The dongle plugs into a USB-C port and lets you connect a pair of wired earbuds while preserving your high quality audio at the same time.
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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