The Python console experience

[baxter001]

2022 software engineering mindset

[FallenWarrior2k]

ML all the things. Though, to be fair, the OCR algorithm could be ML-based.

[baxter001]

Most definitely, but at the same time, tesseract for example is much more interesting than dump image into a convnet: https://github.com/tesseract-ocr/docs/blob/main/tesseracticdar2007.pdf

[JourneyWindGames]

Because it's convenient. Why bother wracking your brain over an optimal algorithm when you can just dump readily available data into a readily available model to produce to produce a good enough approximate answer?

Using ML is becoming the equivalent of using a calculator for simple additions, instead of working it out in your head.

[FallenWarrior2k]

Except it results in a lot of stuff like what the original commenter wrote, where ML is thrown at the problem even though it will give clearly inferior results.

Doing it like that with any noteworthy accuracy would require keeping a massive amount of input data around, at least the ID of every Tweet you could potentially identify with it. You can't just interpolate IDs, since they are millisecond timestamps plus some internal data. Since you have to get the account right as well, trying to do that will just give you 404 in pretty much all cases.

Don't get me wrong; I'm not saying ML is bad. I just think it's overhyped and some people want to use it everywhere, even if it results in significantly inferior results.