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It's going to be interesting to see the AI generation arriving in the workplace, ie kids who grew up with ChatGPT, and have never learned to find something in a source document themselves. Not even just about coding, about any other knowledge.
With programming, the same basic tension exists as with the more effective smarter AI-enhanced approaches to conceptual learning: effectiveness is a function of effort, and the whole reason for the "AI epidemic" is that people are avoiding effort like the plague.
So the problem seems to boil down to, how can we convince everyone to go against the basic human (animal?) instinct to take the path of least resistance.
So it seems to be less about specific techniques and technologies, and more about a basic approach to life itself?
In terms of integrating that approach into your actual work (so you can stay sharp through your career), it's even worse than just laziness, it's fear of getting fired too, since doing things the human way doubles the time required (according to Microsoft), and adding little AI-tutor-guided coding challenges to enhance your understanding along the way increases that even further.
And in the context of "this feature needs to be done by Tuesday and all my colleagues are working 2-3x faster than me (because they're letting AI do all the work)... you see what I mean! It systemically creates the incentive for everyone to let their cognitive abilities rapidly decline.
[0] GPT-4.5
It's going to be interesting to see the AI generation arriving in the workplace, ie kids who grew up with ChatGPT, and have never learned to find something in a source document themselves. Not even just about coding, about any other knowledge.
Otherwise I recall an old saying: 'Robots will take the job of engineers as soon as being able to figure out and make what the client needs, not what the client asks. I think we are safe'. Along this, I hope AI becomes a good tool, subordinate, or maximum a colleague. But not a father figure for big infants.
Earlier quoted context omitted.
If AI can't find it, how do we?
The actual intelligence in artificial intelligence is zero. Even idiots can do better than AI, if they want. Lazy idiots, on the other end...
1) There are no idiots who want to do better than AI, and/or
2) All idiots are lazy idiots.
The reason we're even discussing LLMs so much in the first place, is AI can and does things better than "idiots"; hell, it does things better than most people, period. Not everything in every context, but a lot of things in a lot of contexts.
Like run-of-the-mill short-form writing, for example. Letters, notices, copywriting, etc. And yes, it even codes better than general population.
Earlier quoted context omitted.
> It's going to be interesting to see the AI generation arriving in the workplace, ie kids who grew up with ChatGPT, and have never learned to find something in a source document themselves. I am from the generation whose only options on the table were RTFM and/or read the source code. Your blend of comment was also directed at the likes of Google and StackOverflow. Apparently SO is not a problem anymore, but chatbot…
The issues I see are that private chats are information blackholes whereas public stuff like SO can show up in a search and help more than just the original asker (can also be easily referenced / shared). Also the fact that these chatbots are wrong / make stuff up a lot.
This isn’t just about individual laziness—it’s a systemic arms race towards intellectual decay.[0] With programming, the same basic tension exists as with the more effective smarter AI-enhanced approaches to conceptual learning: effectiveness is a function of effort, and the whole reason for the "AI epidemic" is that people are avoiding effort like the plague. So the problem seems to boil down to, how can we convince…
Earlier quoted context omitted.
I recently interviewed a candidate with a degree in computer science. He was unable to explain to me how he would have implemented the Fibonacci sequence without chatGPT. We never got to the question of recursive or iterative methods. The most worrying thing is that the LLM were not very useful three years ago when he started university. So the situation is not going to improve.
But it is. Some knowledge and questions are simply increasingly outdated. If the (correct) answer on how to implement Fibonacci is one LLM query away, then why bother knowing? Why should a modern day web developer be able to write assembly code, when that is simply abstracted away? I think it will be a hot minute before nothing has to be known and all human knowledge is irrelevant, but, specially in CS, there is goin…
I recently saw this video about how to use AI to enhance your learning instead of letting it do the work for you.[0] "Get AI to force you to think, ask lots of questions, and test you." It was based on this advice from Oxford University.[1] I've been wondering how the same ideas could be tailored to programming specifically, which is more "active" than the conceptual learning these prompts focus on. Some of the sugge…
I think with programming, the same basic tension exists as with the smarter AI-enhanced approaches to conceptual learning: effectiveness is a function of effort, and the whole reason for the "AI epidemic" is that people are avoiding effort like the plague. So the problem seems to boil down to, how can we convince everyone to go against the basic human (animal?) instinct to take the path of least resistance. So it see…
From there these proompters will have 2 choices, do I learn how to actually code? or do I pay more for the AI to code for me?
Also it stops working well after the project grows too large, from there they'd need an actual understanding to be able to direct the AI - but going back and forth with an AI when the costs are insane isn't going to be feasible.
It's going to be interesting to see the AI generation arriving in the workplace, ie kids who grew up with ChatGPT, and have never learned to find something in a source document themselves. Not even just about coding, about any other knowledge.
His justification was that some AI had endorsed it as the correct method. There are already out there salaried professionals supporting such flawed logic.
This isn’t just about individual laziness—it’s a systemic arms race towards intellectual decay.[0] With programming, the same basic tension exists as with the more effective smarter AI-enhanced approaches to conceptual learning: effectiveness is a function of effort, and the whole reason for the "AI epidemic" is that people are avoiding effort like the plague. So the problem seems to boil down to, how can we convince…
That's not true. Yes, you can get more effective at something with more effort, but you can get even more effective at it if you find a way to get results without actually doing the work yourself in the first place.
That's literally the entirety of human technological advancement, in a nutshell. We'd ideally avoid all effort that's incidental to the goal, but if we can't (we usually can't), we invent tools that reduce this effort - and iterate on them, reducing the effort further, until eventually, hopefully, the human effort goes to 0.
Is that a "basic human (animal?) instinct to take the path of least resistance"? Perhaps. But then, that's progress, not a problem.