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Yes. Ben Thompson has recently written a lot of commentary about it and, to be fair, he seems quite bullish on it. But so far to me this seems to be almost uni
by dkrich 3y ago
Yes. Ben Thompson has recently written a lot of commentary about it and, to be fair, he seems quite bullish on it.
But so far to me this seems to be almost universally loved by programmers while I don’t really know anyone else who uses it at all.
I think after the past 15 years which saw some of the most rapid technological advances in history along with the greatest bull market in history, people’s credulity is off the charts.
But to me something just feels off about this entire AI/NPL complex. For one, I agree that it’s largely oversold on features. Also, every single enterprise software company is attempting to jump on the bandwagon and everyone on LinkedIn seems to be posting about it every day. Most people who talk about how revolutionary it will be have absolutely no track record of being correct on similar calls and on the whole if I had to bet, probably were highly skeptical of new tech over the past decade that was revolutionary.
I also agree that it feels very similar to crypto. I don’t think it’s a coincidence that both were largely enabled by advances in nvda chips. It may sound absurd to most but I actually believe nvda is the most overpriced stock in the market now by a large margin and is sort of in its own bubble. There has been a head long rush to stockpile their chips in anticipation of npls taking over but I predict it is going to result in an eventual glut of oversupply that’s going to put downward pressure on the semiconductor market potentially for a year or more.
- aprdm 3y agoHm, my wife uses it daily for her classes which aren't tech related. She describes it as a very patient professor who meets her where she is at and doesn't judge. English isn't her first language too and sometimes she can ask what a term means in English.
- UncleMeat 3y agoMy wife's students just seem to use it to cheat to turn in nonsense papers.
- latexr 3y ago> English isn't her first language too and sometimes she can ask what a term means in English. That’s a good example of a subpar use for an LLM. Dictionaries have existed since before computers. Digital dictionaries are faster, more reliable, and less power consuming than any LLM.
- Philpax 3y agoDictionaries can’t give you contextual answers, clarify use in a sentence, or explain why you’re using it wrong.
- aprdm 3y agoNot really.. I think you don't know what you're talking about :) It's a chat, she is talking about a subject, and then she can expand on a word, all very naturally, as she is talking with a human. That's very different than having some subject you're reading about and then having to carry a dictionary which has no context about the subject, and doesn't talk back to you
- latexr 3y agoYou don’t have to “carry a dictionary”. Digital versions exist and can give you definitions right in whichever app you are, with usage examples. Grammar and spell checkers do it with context. This is not new technology. And you’re conveniently ignoring the points of speed, energy usage, and required internet access.
- aprdm 3y agoI don't know how to tell how off the mark you're. Perhaps try studying a subject on a language you aren't fluent in and compare the experience using chatgtp vs traditional methods ? I don't know what else to tell you, it has been life changing to my wife on a way that dictionaries haven't been
- latexr 3y ago> Perhaps try studying a subject on a language you aren't fluent in and compare the experience using chatgtp vs traditional methods Perhaps you should consider I have done that, instead of assuming things without knowledge of my experience and only worrying about repeatedly telling other people they are wrong about a subjective experience. As you keep ignoring important points, including reliability which is paramount for the subject at hand, unfortunately I can no longer assume the conversation is happening in good faith.
- crotchfire 3y ago> to be almost universally loved by programmers If AI-generated code is considered acceptable in your project then you aren't using a powerful-enough programming language. And you're paying the cost in code bloat. How many Coq programmers find ChatGPT useful? How many nontrivial Coq programs written (and not merely memorized) by ChatGPT even pass type checking? If you're considering AI-written code then you have a bloaty-code problem. Letting an AI write bloaty code conceals the symptoms (keystroke count) but tech debt will still kill your project sooner or later.
- diarrhea 3y agoInteresting take. Very elitist and not rooted in reality though, I must say. The overwhelming majority of code out there is in languages more verbose than strictly necessary, and less expressive than possible. So in real life, yes AI generated code is a helpful and worthwhile thing. Not everyone can swing their Coq around at work. That said, I do agree with the general notion. I find the more verbose the language, the better the help. Dense, more expressive languages fare worse. I’m referring to Python and Rust in my case, so one factor is of course massively larger training corpus for Python, and relatively more churn in Rust.
- mercer 3y agoHow many Coq programmers 'anything', tho?
- crotchfire 3y agogrammar harder