I mean, I'm pretty sure it would be trivial to tell it to move files to the trash instead of deleting them. Honestly, I thought that on Windows and Mac, the default is to move files to the trash unless you explicitly say to permanently delete them.
Yes, it is (relatively, [1]) trivial. However, even though it is the shell default (Finder, Windows Explorer, whatever Linux file manager), it is not the operating system default. If you call unlink or DeleteFile or use a utility that does (like rm), the file isn’t going to trash.
Huh? Unless you are talking about DMCA, I haven't heard about that at all. Most AI companies go to great lengths to prevent exfiltration of copyrighted material.
> It is clear much of the people below don't even understand basic terminology. Something being a transformer doesn't make it an LLM (vision transformers, anyone) and if you aren't training on language (e.g. AlphaFold, or Aristotle on LEAN stuff), it isn't a "language" model.
I think it's because it comes off as you are saying that we should move off of GenAI, and alot of people use LLM when they mean GenAI.
Ugh, you're right. This was not intended. Conflating LLMs with GenAI is a serious error, but you're right, it is obviously a far more common error than I realized. I clearly should have said "move beyond solely LLMs" or "move beyond LLMs in isolation", perhaps this would have avoided the confusion.
This is a really hopeful result for GenAI (fitting deep models tuned by gradient descent on large amounts of data), and IMO this is possible because of specific domain knowledge and approaches that aren't there in the usual LLM approaches.
It may be just my system, but the times look like hyperlinks but aren't for some reason. It is especially disappointing that the commit hashes don't link to the actual commit in the kernel repo.
They're <strong> tags with color:#79635c on hover in the CSS. A really weird style choice for sure, but semantically they aren't meant to be links at all.
Unless you are going to be more specific, that criticism applies to all benchmarks that are connected to a positive gain, not just AI coding benchmarks.
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