CrispinS
Joined 4 years ago
Joined 4 years ago
Related: I did not understand 95% of what she wrote.
I mean, it is mostly solid advice, e.g. asking AI to cite sources (and checking them!) and asking about the assumptions it's making.
And on the subject of automating things or making things more efficient, I'd extend that to a general reminder that just because things are the way the are, doesn't mean they have to be that way.
Which sounds obvious, but it's so easy to get used to a situation in your life that you don't like, but it's not so horrendous that you're motivated to do something about it. And then it just becomes background and you forget that there's the possibility of a better reality.
Speaking from many personal experiences here...
* Written more formally than the typical HN comment
* Uses uncommon language like "jocular asides" and "whimsical similes"
* Fails to recognize that those mentioned phrases are cliches that people have been using for ages, long before LLMs
In short, recalibrate your AI radar, it's malfunctioning.
For example, the Transformers movies: https://www.wired.com/2008/12/pentagon-holl-1/
The general concept: https://en.m.wikipedia.org/wiki/Military-entertainment_compl...
Unless this was a zero day, but I would have assumed the article would mention that fact ..
Now, I don't know if anyone truly needs the weather in their terminal prompt, but it is doable.
Now, in defense of your theory, I did double check Kagi and found out that they use Bing and Google for some queries, so the only truly "untainted" one is Yandex, which doesn't have ADL on the first page, or the next five that I checked.
That said, as I mentioned they do surface SPLC, which is similar in tone and content.
Limited sample size, but I think it's still plausible that ADL is an organic result.
I also checked Yahoo, and it has ADL as the third result.
I checked Baidu and Naver, and didn't see ADL, but I assume they're prioritizing regional content.
It might be, actually. I understand why you'd think that, but look at the results for other search engines.
Kagi: ADL in 2nd place
Bing: ADL in 3rd place
Yandex: ADL not on the first page, but SPLC[1] is the the 6th result
[1]: https://www.splcenter.org/fighting-hate/extremist-files/indi...
https://peps.python.org/pep-0582/
Unfortunately the PEP is from 2018 and is still being discussed. The last post in the comment thread is from February.
https://discuss.python.org/t/pep-582-python-local-packages-d...
That's unfortunate; until I went looking for citations I thought it was further along and actually scheduled for the next Python release.
Looks like there is a pip-alternative that implements the PEP, but I haven't played around with it yet.
First, although "AI exhibits racial bias due to biased training data" is far more accurate, I think it's perfectly acceptable to condense that to "AI is racist". Especially in the headline of an article that goes on to explain the issue in detail.
Second, I would say that even racist humans are racist because of bad training data, so if we're fine calling people racist, why not AI?
Ah, but it's not innocuous, and everyone knows it. I assume you know it -- when you watched that clip of the senator, did you really think he had forgotten what the definition of "woman" was?
The question he was really asking was along the lines of "is it the health department's official stance that trans woman are woman and should be treated as such under the law?"
Although actually he wasn't really asking that either, he was signaling to his supporters that he does not think that trans woman are women, and he was attempting to embarrass his political opposition so he and his allies could talk about the lunacy of the woke left or whatever and how they can't even define what a woman is.
I can forgive people for not wanting to play along.
Although, I can't forgive people for not having an answer ready; that question is being used as a "gotcha" more and more frequently.
Adding quotes to "badass" turns up (on the first page) a mechanics job posted in January, four hits for the same CNA job from over a month ago, and one hit for an administrative job, posted this month.
That doesn't seem like a lot of postings, certainly not enough to be considered an outlier.
Of course to verify that I'd have to do fifty Google searches and chart the data, which I don't really want to do...
I think you should, though, so next time you make such a dubious claim, you have the data to back it up. :)
Eclipse, obviously.