@inthehands fwiw, they largely developed GPS to get nuclear weapons on target.
really great video on Polaris and the technical challenges needed to make it happen back in the late 50s: https://youtu.be/dSih6Ch0Hzs
@inthehands fwiw, they largely developed GPS to get nuclear weapons on target.
really great video on Polaris and the technical challenges needed to make it happen back in the late 50s: https://youtu.be/dSih6Ch0Hzs
@wdlindsy one reason Trump has received a "get out of mental decline" card from the press is they always found him incoherent, but because a portion of the public gleaned meaning out as his sentence trailed off, there's an assumption on the behalf of the press that nothing has changed, that they still need to distill a few words out of his mumbling and assign meaning to it, just like his unhinged followers did
@fgcallari @inthehands yes. from a cost perspective, a lot of applications of older techniques are simply ignored. the problem space wasn't exhausted, but few were willing to invest in fully exploring it from a commercial perspective.
@inthehands one of the big assumptions behind AI hype -- the unspoken presupposition -- is that the 99.9% reliability of traditional software will be complemented by the apparent capacities of generative systems and all the exponential possibilities entailed therein
in practice, because the generative systems are making stuff up, they're going to pollute traditional software into uselessness with absolute garbage inputs.
they're fundamentally two different things, and they cannot interface
@queerfemmedyke @SallyStrange I think a lot of people are under the delusion that they could simply pack up and move to any other place, unaware that they probably can’t, and that if they wanted to make it happen, it would involve a pretty complicated process that’s not likely to succeed unless they have some kind of special set of credentials.
@hongminhee oh yea totally—but is it common to mix strings of that length on a website containing multiple languages? I’d suspect generally, where things get mixed up, the shortest you might have is a link or button.
@hongminhee it’s not trivial to determine per se, but a cross-entropy classifier on character bigrams (that is, 1990s NLP) is surprisingly accurate at determining the language of a string.
However—and this is the big caveat—it’s only trivial if (1) you know where the language boundaries are and (2) the string is long enough to get robust bigram statistics.
Even if you weren’t to specify the language, “lang” solves problem (1) readily.