Timeline for Will the use of AI reduce our capacity to think? [duplicate]
Current License: CC BY-SA 4.0
34 events
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| Apr 10 at 16:05 | vote | accept | mkinson | ||
| Apr 3 at 18:55 | answer | added | Peter - Reinstate Monica | timeline score: 0 | |
| Apr 3 at 18:54 | history | closed |
Jo Wehler David Gudeman Hokon mkinson Philip Klöcking♦ |
Duplicate of Does the use of AI make someone more intelligent? | |
| Apr 3 at 18:12 | answer | added | cjs | timeline score: 0 | |
| Apr 3 at 16:34 | answer | added | Speakpigeon | timeline score: 0 | |
| Apr 3 at 16:04 | history | edited | mkinson | CC BY-SA 4.0 |
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| Apr 3 at 15:45 | answer | added | Steven Armstrong | timeline score: 2 | |
| Apr 3 at 14:29 | answer | added | SonOfThought | timeline score: 2 | |
| Apr 3 at 12:50 | comment | added | J D | @haxor789 Smarter entities always adapt to less intelligent entities. But that doesn't mean less intelligent entities don't understand something or exhibit some intelligence. | |
| Apr 3 at 9:53 | comment | added | haxor789 | Which puts AI in a weird middle ground, it's sorta kinda like a human that thinks for itself and evaluates your commands rather than execute them, while at the same time it is not a human and doesn't think for itself. But also what it does isn't deterministic anymore but adapting so who is learning who's language, is AI a mirror so is it teaching introspection, do you have to guess what the developers or the average guy/girl after whom that is modeled is like? Is it some kind of religion where you don't know how it works but just have faith in it doing so? | |
| Apr 3 at 9:37 | comment | added | haxor789 | @JD low-code or no-code is a radically different kind of programming. Like if you ever worked with people you might develop the idea of "if they wouldn't think so damn much but just do what I tell them everything would be fine". While if you ever worked with a machine that does exactly as you tell them you'll find out pretty quickly that there is a discrepancy between what you say and what you mean and it's not the machine that adapts to you (it can't), but you are the one who needs to adapt to the machine, to rephrase your commands in their language so that they can understand them. | |
| Apr 3 at 8:14 | answer | added | AnoE | timeline score: 1 | |
| Apr 3 at 6:40 | comment | added | Dikran Marsupial | @JD The current direction of LLMs won't support that direction because they have no understanding of the code they produce. It will erode the end of the job market where deep understanding of the code is not required (aspects of UI implementation), but it is unlikely to make significant inroads into e.g. security. The problem is how to develop that understanding in an environment that makes solving simple programming tasks trivial. | |
| Apr 3 at 6:03 | comment | added | Toffomat | Obligatory xkcd: xkcd.com/1289 | |
| Apr 3 at 0:49 | history | edited | Mark Andrews | CC BY-SA 4.0 |
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| Apr 3 at 0:22 | comment | added | Scott Rowe | My perception is that this is a branch point, a watershed where most people go off in a new direction. In the past 100+ years, many many things have stopped being learned, and it doesn't affect most people at all because technology has papered over it. The problems with this are the cases where depth knowledge is required, when an unexpected problem arises, or there is a widespread failure, war conditions or something. Someone still needs to know, but far fewer people. Not much horse riding these days, or woodworking. But most people couldn't even diagnose a problem with their car. | |
| Apr 2 at 19:32 | history | became hot network question | |||
| Apr 2 at 19:02 | comment | added | J D | @DikranMarsupial While I appreciate your point, I would remember that complex systems are seldom dominated by a single variable. As technology becomes more sophisticated, it will impact the system in ways that might not be foreseeable. Perhaps a tipping point will be reached in social institutions where accountability radically advances to hold students more accountable in the future by way of a political movement. Perhaps ChatGPT will enable everyone to become programmers by moving us towards a lo-code/no-code future. Imagine if LCARS was the norm. ; ) | |
| Apr 2 at 17:15 | comment | added | Dikran Marsupial | @JD it doesn't really matter if it is a failure of technology or of human nature, the question is whether it will make us less able to think, and in this case, the answer is probably "yes" and we will end up with programmers out of a job and a world full of bad (that wasn't my first choice of word ;o) code because ChatGPT doesn't understand it either. | |
| Apr 2 at 16:49 | comment | added | J D | @DikranMarsupial That's not a failure of technology. It's a failure of human accountability. | |
| Apr 2 at 16:13 | answer | added | ac15 | timeline score: 5 | |
| Apr 2 at 15:24 | comment | added | TKoL | I'd be willing to bet some small subset of artists who have started using AI image generation software have already had their ability to generate new visual ideas negatively impacted by these tools. | |
| Apr 2 at 15:18 | comment | added | Dikran Marsupial | @ScottRowe me too! There is a compromise in the middle somewhere ;o) The problem is that it is human nature to take the easy route, it is hard to ignore help for a deferred benefit when the assignment is due next week. There is an optimal work-benefit compromise, and I suspect that learning to program with an LLM is not it. Great tool for later on though. | |
| Apr 2 at 14:59 | comment | added | Scott Rowe | @DikranMarsupial right, when I learned I didn't have a teacher or even any materials mostly. I just stared at the terminal and tried to make some fairly simple programs. | |
| Apr 2 at 14:51 | comment | added | Dikran Marsupial | @ScottRowe re. learning to program, it can be very difficult to learn something if your teacher is too helpful. Over the last 25 years I have seen undergraduate students problem solving skills weaken as the amount of tutorial material (and SE) solves most of the kinds of problems that are good for teaching. It is like going to the gym and watching someone else pump iron - you may learn things, but it wont make your muscles any bigger. c.f. cseducators.stackexchange.com/questions/7339/… | |
| Apr 2 at 14:42 | history | edited | mkinson | CC BY-SA 4.0 |
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| Apr 2 at 14:01 | comment | added | Scott Rowe | The other day I was thinking that driving a horse-drawn wagon might have been a more difficult task than an automatic transmission car. Carving might be harder than 3D printing. Recent programming methods might be easier than what I learned on. Or, maybe not, we would need some research to determine these answers. I know that the way I learned to program is forgotten and never involved in learning now. AI is a similar thing, and might help us skim past a lot of details yet have to cognize more abstract things. A long way of saying, Hmm... | |
| Apr 2 at 12:28 | comment | added | J D | Are there precedents? Yes, the printing press. It automated the production of written language and the world largely became literate. | |
| Apr 2 at 12:27 | history | edited | J D |
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| Apr 2 at 12:26 | answer | added | J D | timeline score: 11 | |
| Apr 2 at 12:15 | review | Close votes | |||
| Apr 3 at 18:55 | |||||
| Apr 2 at 12:14 | comment | added | Jo Wehler | Asking AI does not necessarily reduce our capability of critical questioning. We need critical thinking to question the answers we get from AI. So it's up to ourselves how we use AI. | |
| Apr 2 at 11:59 | comment | added | mkinson | @JoWehler It appears to be a start, and thank you for finding the post. However, I'm more concerned that the reliance on AI to answer our questions might stop us from thinking critically. I bring up the renaissance and the Age of Enlightenment because we were forced to think to answer the questions we were asking. If we're just handed answers, will that not stunt our capacity for contemplation of such questions? | |
| Apr 2 at 11:31 | history | asked | mkinson | CC BY-SA 4.0 |