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Discussion (57 Comments)Read Original on HackerNews
It doesn't even make mistakes anymore - the biggest issue is making sure it doesn't get lazy with the number of assertions
[1] https://news.ycombinator.com/item?id=47785627
this one anonymous guy may be vibe coding himself to $200k, but there might be bombs in there that won't go off until later.
When doing algebra you need to be able to effortlessly do sums, multiplications, divisions, factorizations.
Meanwhile if you’re doing a physics or engineering calculation, it’s better to manipulate all the symbols algebraically and only plug in values at the final step.
I don’t see how a calculator is actually useful in driving learning outcomes.
For anything beyond that, I'd need to take it up with whoever wrote our curriculum! But I know it was mildly contentious at the time, much as the use of even more elaborate technologies are now.
You can do much of that other stuff by yourself, but no one alive carries a table of logarithms around in their head.
Once you accept that you should also accept that it contains Taylor series expansions for sine and cosine, which you also do not carry around in your head.
I recommend telling a physicist that you feel this way and seeing what they think about calculating machines.
https://arxiv.org/abs/2506.08872
To be concrete, this is taking a task in isolation that LLMs can do much better than humans (writing garbage essays) and using LLMs to do that task. In the real world, tasks have parts and they exist in a larger context. When we use LLMs for one part of a task, there are other things we're doing that the LLM is not helping with. If you compared people doing arithmetic by hand and with a calculator, you would also see very big differences in how active their brains are. But it's not anyone's job to add up numbers. Adding up numbers is a subtask of a subtask in someone's job.
"I have one job on this lousy ship, it's stupid, but I'm gonna do it! Okay?" -- Sigourney Weaver
[1] - https://www.youtube.com/watch?v=W4CgQMJCpZI
The research seems to always get (intentionally?) misconstrued at headlines that LLM is “bad for you” as opposed to more mundanely stealing opportunities for exercise and practice of mental activities if you let it.
I take this same argument and fold it slightly.
Think back to Cliff's Notes. A student has a paper due. They are low on time. They use Cliff's Notes to help them write a paper and get at least a passing grade.
If the student does this one time or for an occasional crunch, there's not a big issue.
If the student does this all the time, and then later complains they didn't get a good education, who should have the accountability for that?
If the outcomes can be reached with just AI, then AI has all the value.
Only have economic value maybe.
Humans have more value than just whatever economic crap they produce
Someone suggests putting all the stuff the average person needs within 15 minutes of the average person's home, and soon after we got a conspiracy theory about 15 minute cities being soviet control gates you'll need permission to get out of.
LLMs are already capable of inventing their own conspiracy theories, and are already effective persuaders, so if we do get stuck, we're not getting un-stuck.
why would you choose to compare ai to cars? you seem to be defending ai, but to compare it to cars... cars have been a horrible development.
"Someone said something about AI"
In a forklift, I can softly manipulate a lever to lift thousands of pounds, that will not make my arm muscles grow. It's my responsibility to still go to the gym: but even 16 hours a day at the gym: no one is ever going to lift a literal 'ton'. I don't take a forklift to the gym, but I would use it at work...
And this gym metaphor breaks down quickly if you think about it.