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AI Issues

I am reminded, in this moment, about a particular problem involving noise and signal: while a signal can often be extracted from a stunning amount of noise, that is almost always more difficult when the "mapping" itself is noisy.

In practice, this will almost certainly manifest as more incapable systems resulting from training on unfiltered data.

In many discussions I see people talking about "how can we make it smarter, we already threw the whole Internet at it", when it is plain that those exposed to the internet without having learned some things about the logic of filtration often end up dumber for it.

I am even reminded me of a line from "Kung Pow": "We taught him wrong, as a joke". Well, we taught it wrong not as a joke but we still taught it many wrong things, including the behavior of reproducing those wrong things.

I am writing a little bit of code with an AI right now. I tested and gave feedback. It has so much info from the Internet of coders responding to bug reports in the form of "This is a classic example of X" that it almost always frames it as such. Even though there are many instances when it ought not do so. In this case I have the following:
It looks like we are making progress. The issues you've highlighted are classic "first-run" hurdles when dealing with UTF-8 and cross-orthography search tools.

I am using an orthography developed in the early 1900s and searching through modern orthography in a rare language. It is impossible for me to know how often coders call something a "classic" UTF-8 problem and how often they are wrong in doing so. This time the code fix it gave worked for me. In the past, it's called something "classic" UTF-8 problem and the fix didn't work.
A classic UTF-8 problem is a problem wherein UTF-8 is an assumption somewhere, and that assumption is not respected.

I have run into 2-3 UTF-8 problems. Usually I resolve them by forcing the assumption of UTF-8 to be correct (knocking all encoding to 8-bit), but with your problem that wouldn't work since you need an expanded alphabet.
 
I've had the last month had to code stuff of things it says in my CV I am experienced with, but was so long ago I had forgotten too much. AI to the rescue. Extremely helpful. Worked out great.

I still don't understand people who whine about AI. I think its great
 
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