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Sure, you could follow the straight dating scene and try mainstream apps such Hinge and OkCupid, which to their credit have taken big steps forward in inclusivity. But we’d also point you towards more niche apps like Scruff and Feeld, which cater to specific communities, kinks, and desires. The key is figuring out which one is actually worth your time. And that includes Grindr.

The combination of these two technologies is already being supported by big players like Google, Amazon, and Apple. There are also already over 140 products on the market that support it right now with more undoubtedly on the way.

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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.,更多细节参见搜狗输入法2026

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