so it is like humans vs robots started? robots ask humans questions to verify they are not robots. humans mark content as robot-generated to filter it out.
My first instinct is that users abuse it like they do any other report/downvote mechanism. They see something they just don't plain like, they report it as AI slop.
A well-documented codebase lets both developers and agentic models locate relevant code easily. If you treat the model like a teammate, extra docs for LLMs are unnecessary. IMHO. In frontend work, code moves quickly.
We shouldn't rely on YouTube to write our history. It's just an American entertainment website that makes money of ads. It has no other obligations. It can do whatever it wants, or what the US government wants. This is not news.
Fords recall numbers have skyrocketed in recent years. So Fords real comparison to its previous self, 2015 they had 68. Why isn’t Fords roughly doubling of recalls news?
It's reasonably well known that Ford has had a very bad year for recalls; it's definitely made the rounds in the auto world, and breaks through to the mainstream news from time to time.
>Why isn’t Fords roughly doubling of recalls news?
Oh, I don't know, maybe because Tesla is bigger than the rest of the entire industry combined?
Besides, safety recalls are what matters. I get lots of small qualtiy-related recalls that are so minor I don't even bother getting them done. Meanwhile, Tesla does what it can to avoid quality recalls, because for a while it was a marketing blurb for them.
Not using Google but instead use a Mullvad or Brave search engine isn't solving any problem. Because if you cannot trust company A, you also shouldn't trust company B.
If you want real and total anonymous search, use a public computer.
That's actually a very specific domain, which is well documented and researched in which LLM's will alawys do well. Shit will hit the fans quickly when you're going to do integration where it won't have a specific problem domain.
Yep - visualizing clustering algorithms is just the "CRUD app" of a different speciality.
One rule of thumb I use, is if you could expect to find a student on a college campus to do a task for you, an LLM will probably be able to do a decent job. My thinking is because we have a lot of teaching resources available for how to do that task, which the training has of course ingested.
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