Your “if” there is doing an awfully lot of the heavy lifting. Fwiw, I’m not talking special-purpose, custom-built LLMs - a large part of the problem is the lack of precision language uses to describe the concepts under discussion.
Both of these would be better called “cheating” than “AI”, but seeing as how AI both makes it easier and more to the point so many companies (such as Oracle) are literally pushing their programmers (those remaining anyway) to exclusively write programs using AI rather than by themselves, the very definition of “cheating” will need to be reexamined as a result.
In the examples also take note of how poor quality the LLM output is - e.g. regardless of whether the source is Grok or Claude or whatever, those therapy examples are not helpful in the slightest. Your counterargument might be that these are the “cheap” (aka free) AIs, but preemptively I will say in response: they still count as “AI”, especially in the context of the OP.
As far as “cheating” goes, ever since I got out of the game of paying a bunch of academics to judge and label me, I have been actively encouraged to “cheat” by the people who pay me money… that’s real life.
If you’re using a Ginsu knife to knead dough, you might not have optimal results. Claude is pretty good at code, since about 4-6 months ago. Grok? last time I asked Grok for anything it was the fastest LLM on the market, and the most non-sensical - usless trash.
Okay but Grok is still surely part of the “Anxiety around AI is growing rapidly in the US, research shows” phenomena, as Grok is one of the various AIs that people are aware of, and anxious about.
Your words read to me like you have kept yourself aware of the positive benefits of using AI - which many people on Lemmy including to some degree myself - have done far less of.
For the past year+ it has been popular sport to ask AI a question and poke fun at how wrong the answer is. I, too, get plenty of wrong answers from it - and anyone who trusts what it, or a Google search, or some post by some random troll with an axe to grind on some social media site, or even your high school whatever teacher, without verifying the results… gets what they deserve, in my opinion.
What changed for me within the last 12-16 months is: at least around questions in software development, the answers started being correct more than half the time. That was a critical watershed, because in essence that means that if you give your AI the tool to test its own work, it can work on hard problems that have easy methods to test for correctness (starting with compiler errors), and basically chip away at them - fixing problems until it has an answer that is correct enough to pass all the tests you have specified for it. Before that, an AI agent left to work on problems without guidance would more often get stuck in loops, or run off the rails altogether and never reach a viable solution.
In the past 6 months or so, tools like Claude have gotten much better - incorporating a lot of the kinds of things I (and many others) had to “tell them” manually 12 months ago to get good results into their normal response algorithms, anticipating and fixing problems in their work before presenting it as a solution for your consideration.
The language they present solutions in has been traditionally too over-confident, that’s a huge fault which I attribute to being trained on blog posts by know-it-all blowhard people who similarly present their ideas as gospel truth rather than their potentially flawed best efforts.
Clue for the clueless: even the best human experts in their fields are still only providing potentially flawed best effort answers. Once you leave self-defined fields like mathematics, all we have are our best guesses about how things really work.
One thing that your comments touch on here is just how little of the “Anxiety around AI” actually has to do with AI.
When e.g. Oracle lays off 30k workers, how little of that truly has to do with AI? vs. instead market instability etc. What complicates the issue is that most often, the corporation will claim that the layoffs are to better streamline the company in a future where AI will need fewer workers, so to prepare for that now… they’ll just go ahead and get rid of them immediately.
So this isn’t even people using AI inappropriately, this is people blaming AI for what they wanted to do anyway, for reasons if profit.
Then again, events such as those presage what is to come: when AI truly can do it all, how will humans be able to earn a paycheck? Spoiler alert: not all of us will. And especially in the meantime there will be period of transition and upheaval.
This is what I felt your comments lacked acknowledgement of: not the downside to using the tools but the wider conversation that uses the keyword “AI” but has really barely anything to do with it, as opposed to political and social and economic forces.
Your “if” there is doing an awfully lot of the heavy lifting. Fwiw, I’m not talking special-purpose, custom-built LLMs - a large part of the problem is the lack of precision language uses to describe the concepts under discussion.
An example: https://lemmy.world/post/46390157
Another example: https://discuss.tchncs.de/post/59584533
Both of these would be better called “cheating” than “AI”, but seeing as how AI both makes it easier and more to the point so many companies (such as Oracle) are literally pushing their programmers (those remaining anyway) to exclusively write programs using AI rather than by themselves, the very definition of “cheating” will need to be reexamined as a result.
In the examples also take note of how poor quality the LLM output is - e.g. regardless of whether the source is Grok or Claude or whatever, those therapy examples are not helpful in the slightest. Your counterargument might be that these are the “cheap” (aka free) AIs, but preemptively I will say in response: they still count as “AI”, especially in the context of the OP.
As far as “cheating” goes, ever since I got out of the game of paying a bunch of academics to judge and label me, I have been actively encouraged to “cheat” by the people who pay me money… that’s real life.
If you’re using a Ginsu knife to knead dough, you might not have optimal results. Claude is pretty good at code, since about 4-6 months ago. Grok? last time I asked Grok for anything it was the fastest LLM on the market, and the most non-sensical - usless trash.
(I did not downvote you btw)
Okay but Grok is still surely part of the “Anxiety around AI is growing rapidly in the US, research shows” phenomena, as Grok is one of the various AIs that people are aware of, and anxious about.
Your words read to me like you have kept yourself aware of the positive benefits of using AI - which many people on Lemmy including to some degree myself - have done far less of.
But there are some negatives as well…
There’s plenty of negatives to any new tech, anything can be carelessly or ignorantly mis-applied.
The computer has been coming for our jobs since it was created. Bob Cratchit no longer works for Ebeneezer Scrooge, he’s been replaced with software.
People over-trusting software has been problematic since software became accessible to be over-trusted. A favorite (horrible) example from not-so-long ago, but pre-ChatGPT release I believe: https://www.amnesty.org/en/latest/news/2021/10/xenophobic-machines-dutch-child-benefit-scandal/
For the past year+ it has been popular sport to ask AI a question and poke fun at how wrong the answer is. I, too, get plenty of wrong answers from it - and anyone who trusts what it, or a Google search, or some post by some random troll with an axe to grind on some social media site, or even your high school whatever teacher, without verifying the results… gets what they deserve, in my opinion.
What changed for me within the last 12-16 months is: at least around questions in software development, the answers started being correct more than half the time. That was a critical watershed, because in essence that means that if you give your AI the tool to test its own work, it can work on hard problems that have easy methods to test for correctness (starting with compiler errors), and basically chip away at them - fixing problems until it has an answer that is correct enough to pass all the tests you have specified for it. Before that, an AI agent left to work on problems without guidance would more often get stuck in loops, or run off the rails altogether and never reach a viable solution.
In the past 6 months or so, tools like Claude have gotten much better - incorporating a lot of the kinds of things I (and many others) had to “tell them” manually 12 months ago to get good results into their normal response algorithms, anticipating and fixing problems in their work before presenting it as a solution for your consideration.
The language they present solutions in has been traditionally too over-confident, that’s a huge fault which I attribute to being trained on blog posts by know-it-all blowhard people who similarly present their ideas as gospel truth rather than their potentially flawed best efforts.
Clue for the clueless: even the best human experts in their fields are still only providing potentially flawed best effort answers. Once you leave self-defined fields like mathematics, all we have are our best guesses about how things really work.
One thing that your comments touch on here is just how little of the “Anxiety around AI” actually has to do with AI.
When e.g. Oracle lays off 30k workers, how little of that truly has to do with AI? vs. instead market instability etc. What complicates the issue is that most often, the corporation will claim that the layoffs are to better streamline the company in a future where AI will need fewer workers, so to prepare for that now… they’ll just go ahead and get rid of them immediately.
So this isn’t even people using AI inappropriately, this is people blaming AI for what they wanted to do anyway, for reasons if profit.
Then again, events such as those presage what is to come: when AI truly can do it all, how will humans be able to earn a paycheck? Spoiler alert: not all of us will. And especially in the meantime there will be period of transition and upheaval.
This is what I felt your comments lacked acknowledgement of: not the downside to using the tools but the wider conversation that uses the keyword “AI” but has really barely anything to do with it, as opposed to political and social and economic forces.