- cross-posted to:
- singularity@lemmit.online
- cross-posted to:
- singularity@lemmit.online
Jensen Huang says kids shouldn’t learn to code — they should leave it up to AI.::At the recent World Government Summit in Dubai, Nvidia CEO Jensen Huang made a counterintuitive break with tech leader wisdom by saying that programming is no longer a vital skill due to the AI revolution.
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Producer of calculators says kids don’t need to learn maths, they just need a calculator
I mean, we aren’t exactly teaching kids how to hand calculate trig anymore. Sin, Cos, and Tan operations are pretty much exclusively done with a calculator and you’d be hard pressed to find anyone who graduated in the last 25 years who knows any other way to do it.
For a younger age range you might be right, but in general that’s not true; the approximation via a Fourier series is definitely something we teach kids. We don’t generally expect people to be able to actually calculate it at the speed of a calculator, sure, but at least it’s tested whether they can derive the expansion.
I haven’t graduated high school yet and even I know how to calculate sin and cos with the taylor series maclurin expansion. I am still in grade 11 and I assume they would be teaching it next year when I take my calculus class? Do they not teach it anymore?
Based young Lemmy user, welcome!
:)
Data is not knowledge.
Well, a lot of maths can be done with a calculator. They don’t need to learn to actually understand the maths unless either they actually want to, or they’re going into something like engineering.
I disagree. They need to understand math, but not being able to calculate math problems in their head.
Absolutely. The calculator is a tool to help you solve a problem. If you don’t understand the problem, then at best you can’t confirm if the answer is correct or not, and at worst the entire exercise is completely lost on you.
The same applies to LLMs. Sure you can get them to spit out code, but unless you understand the code it might be tough to verify that it does what you want. Further, if the code needs adapting (as it often does) then you are shit out of luck if you don’t understand it.
Sure you can ask the LLM to make changes, but the moment something goes wrong in the prompt you have an error sitting there polluting all future output.
Indeed. I’ve been watching a number of evaluations of different LLMs, where people give it a set of problems and then evaluate the results. The number of times I’ve seen “Well it got that wrong, but if we let it re-evaluate it, it gets it right”. If that’s the case, the model is useless. You have to know the right answer before you can ask the model for an answer because the answer you’ll get can’t be trusted.
Might as well flip a coin.
Yeah. I was tasked with evaluating LLMs for software dev at my company last year. Tried a few solutions and tools, and various workflows from just using it as a crutch to basically instructing the LLM to make the application. The former was rarely necessary (but sometimes helpful) and the latter was ridiculously cumbersome.
You need to be specific, and leave no room for interpretation, because the moment you do the latter it’ll start making stuff up that doesn’t necessarily fit in with the spec, and while you can correct that, that’s tedious in and of itself, and once it’s already had the idea it’ll often have a hard time letting go of it.
I also had several cases where it outright ignored provided context. That was even more frustrating because then it made assumptions that I’d already proven to be false.
The best use cases I got from it was
- Explaining unclear code
- Writing clear documentation (it was really good at this)
- Rubberducking
Essentially, it was a great helper, but a horrendous developer. Felt more like I was tutoring it than anything else.
I haven’t seen anyone mention rubberducking or documentation or understanding code as use cases for AI before, but those are truly useful and meaningful advantages. Thanks for bringing that to my attention :)
There are definitely ways in which LLMs and imaging models are useful. Hell I’ve been playing around with vocal synthesis for years, SynthV’s AI models are amazing, so even for music there’s use cases. The problem is big corporations just fucking it up. Rampant theft, no compensation for the original creators, and then they’re sitting on the models like dragons. OpenAI needs to rename themselves, preferably years ago, because there’s nothing open about them.
The way I see it, the way SynthV (and VOCALOID prior to that) works is great; you hire a vocalist with the express purpose of making a model out of their voice. They know what they’re getting into, and are getting compensated for it. Then there are licenses and such on these models. In some cases, like those produced by Eclipsed Sounds, anyone that uses a model to create a song gets decently free reign. In others, like the Bushiroad models, you are fairly restricted in what you can do with them.
Meaning the original artist has a say. It’s why some models, like Cangqiong, will never get AI updates; the voice provider’s wishes matter.
Using computer generated stuff as a crutch in the creation process is perfectly fine I feel, but outright trying to replace humans with “AI” is a ridiculous notion.
As an autist i can it agree more, understanding something is a requirement for me to do well.
So much of my struggles in school where based on using formulas without knowing why or whats behind them, not understanding the broader practical implications and intended goals of assignments, i was just told to just do them, the way it is asked with the formulas i was given (or was forced to remember). Lost motivation, my will to live even, spiraled and crashed hard in the end.
I got better, now i am sitting here scribbling all kinds of math in my little black book as a way to relax. I dont watch “tv” but i wont miss a kurtzegesagt or a veritasium.
I inherently love science, in major contrast to my later high school grades.
Absolutely. If one just “does as told” without understanding without understanding there is no way of knowing if one is lost or not.
I’ve had similar experiences in school myself, and they truly are detrimental to both learning and the joy of learning.
I’m glad you are doing better, and thanks for sharing your story :)
This is objectively stupid. There are tonnes of things you learn in maths that are useful for everyday life even if you don’t do the actual calculations by hand.
In many engineering professions you really need to understand the underlying math to have a chance in hell to interpret the results correctly. Just because you get a result doesn’t mean you get an answer.
Scientific calculators can do a ton of stuff, but they’re all useless if you don’t know anything about math. If you don’t know anything about the subject, you can’t formulate the right questions.
And that’s why people don’t understand that I’m not magic. Seriously, no you should know how to do math, understand how it works. Just like how as an engineer I need to understand how stories work.
They aren’t going to catch the typo or order of operations error they made on their calculator if they don’t understand the math
You need to learn what is addition subtraction multiplication division and also how it works to do anything meaningful with it in calculator…
So the Nvidia drivers will be 100% written by AI then?
Might make them more stable
Oh dear
Does that mean they can’t be copyright anymore? I’ll take it.
Well, he’s put the writing on the wall for his own developers. So, even if it isn’t AI that writes them, the quality may well go down when those that can easily do so, leave for pastures new :P
This is a good case study of how self interest blinds simple logic.
it’s a marketing stunt not a logic-related problem
Why not both?
Yes, yes, keep my labour in high demand and my salary high
What is this from?
Linus Torvals talk at the Aalto University. Specifically a segment where he talks about how hard it is to work with Nvidia when it comes to the Linux kernel.
I thought coding skill is mostly about logical thinking, problem solving, and idea implementation instead of merely writing code?
Even then, who’s gonna code to improve the AI in a meaningful way if everyone not learning to code? What if AI write their own update badly and no one correct it, and then the badly written AI write an even worst version of it? I think in biology we called that cancer.
Coding, like writing scientific papers, or novels, is only about randomly generating strings, silly human.
Coding, like writing scientific papers, or novels, is only about randomly generating strings
See also, litigation, medical diagnoses, creating art that evokes an emotional reaction in its audience, etc.
It turns out that virtually all human advancement and achievement comes down to simply figuring out what the next most likely token is based on what’s already been written.
(/j incase it’s not obvious)
It is, but you should note that the CEO of NVidia is a manager, and software developers haven’t been able to sufficiently convey your point to managers for about 50 years, so we’re certainly not going to get any better at it in the next few years.
Even if AI were able to be trusted, you still need to know the material to know what you’re even asking the AI for.
It’s a ruler to guide the pencil, not the pencil drawing a straight line itself, you still have to know how to draw to be able to use it in a way that fits what you want to do.
I asked ChatGPT to show me how to do some Godot4.2 C# stuff the other day as I transition from Unity, it was 70% incorrect.
Good times. (It was probably right for an older version, but I told it the actual version)
The free chatgpt version has only information up until January 2022
Yea, and as we all know, AI will never progress further than it’s current state. /s
Not with LLM’s it won’t. They’re a dead end. In their rush for short term profits so called AI companies have poisoned the well; the only way to “improve” an LLM is to make it larger, but most of the content in the internet is now produced by these fancy autocomplete engines, so there’s not only no new and better content to train them on, but since they can’t really generate anything they haven’t been trained on doing so on LLM generated text will only propagate and maximise any errors, like making photocopies of photocopies or JPEGs of JPEGs.
It’s all a silly game of telephone now; a circular LLM centipede fed on its own excrement, distilling its own garbage to the point of maximum uselessness.
Mhmm, give it another year or so. You are like people in the 90’s saying while the internet may be useful for emails, that’s the limit of what it can accomplish.
Forgive me if your claims of a glass ceiling ring hollow considering all the previous glass ceilings people have claimed about AI.
“An AI will never be able to write in a human like way” Check.
“An AI will never be able to generate a coherent image” Check
“An AI generated image could never be better than a real artist” Check
“AI will never be able to generate a whole video without messing it up” Check
I’m not sure how you can just flippantly say it’s not going to advance or progress in any more meaningful way. This is still a very new technology and it’s already shattered the limits of what people thought was possible.
Oh, AI is going to progress. LLMs, which are merely applied statistics and no more AI than Markov chains, are not, at least in any significant way (sure, they might get bigger, which won’t really change them qualitatively, but as I pointed out there’s no unpoisoned content to train them on, so making them bigger is moot anyway, other than as a means to temporarily inflate the bubble).
LLM is a plagiarizing machine. Who will write the code for it to plagiarize?
My God the stupidity goes to the top!
The man has a crippling spatula habit, he needs the income.
If Nvidia driver quality goes down in the next couple years, we know why.
Shut up Jensen, and fuck your jacket.
Ngl, kinda like the jacket, but he makes it look dumb by talking all dumb
Guarentee he wears it to hide his manboobs on stage.
Yeah, I can respect / relate to that too. I just don’t like that he’s giving those of us with boobs a bad name by publically being such a dumbass.
And I say I don’t even know this person and he should just stfu and leave those kids alone.
He’s the CEO of Nvidia one of the largest GPU manufacturers in the world and also a trillion dollar company.
Good for him. I like Nvidia and use one, but I have the rest of his company to thank for that.
I think for me it was a combination of:
< Name of person I don’t know > says < big unhinged sweeping generalization > for < reason that makes no sense to anyone in the field >
My first instinct is not to click stuff like this altogether. I also think that anyone trying to preach what kids should or shouldn’t do is already in the wrong automatically by assuming they have any say in this without a degree in pedagogy.
He’s also obviously biased since the more people use LLMs and the like the more money he gets.
It’s a bit like “lions think gazelles should be kept in their enclosure”.
And who will code the code for ML/AI models ? I mean for Jr. Developers this is going to be a better way to learn than "did you Google it? " And maybe have precise answers to your questions. But it sounds more to me like “maybe you should buy more of our silicon”.
Sounds a bit like “640kb is more than enough” oneliner. But let’s see what it will bring.
But it sounds more to me like “maybe you should buy more of our silicon”.
gotta drum up that infinite demand to meet and grow their insane valuation bubble when they already can’t even produce enough to fill all orders.
You still need the fundamentals. You still need to understand problem solving and debugging.
While large language models are impressive they seem to still lack the ability to actually reason which is quite important for programmer. Another thing they lack is human like intuition that allows us to seek solutions to problems with limited knowledge or without any existing solutions.
With the boom bringing a lot more money and attention to A.I the reasoning abilities will probably improve but until it’s good enough we’ll need people who can actually understand code. Once it’s good enough then we don’t really need people like Jensen Huang since robots can do whatever he does but better.
GPT4 (the preview) still produces code where it adds variables that it never uses anywhere… and when I asked one time about one variable, it was like, “Oh, you’re right, let me re-write the code to put variable X into use”, then just added it in a nonsensical location to serve a nonsensical purpose.
