- cross-posted to:
- linux@programming.dev
- cross-posted to:
- linux@programming.dev
publicación cruzada desde: https://piefed.social/c/linux@programming.dev/p/2495581/yea
Linus be like:
- “I only care about the final results and the correctness”
- Me looks inside
- Final results are shit and code is just slop
Ahhh, I love AI and Linus and how they’re enshittifying everything /s
Seriously, how would anyone in their right mind think that AI can be used responsibly? The only acceptable level of AI use is zero or a negative number.


Spring this year is like ages ago in terms of LLM development. I suspect that you would need to do considerably less checking now or none (it checks itself) with an up-to-date agent, if you use your harness correctly.
Let me put your point into perspective:
“Try calculating without a calculator and you’ll quickly realize how dependent on it you’ve really become. I haven’t used it at all since spring this year and it’s been great. I actually get more work done without it since I don’t have to double check the calculations anymore.”
I think overdependence on LLMs is a valid concern, not restricted to coding. Studies would indicate as much. It’s good to be able to write code yourself. But I wonder if that is really a skill that is going to continue to be necessary in the future. Being able to do big calculations in your head or on paper is a nice skill to have, even now, but it’s honestly not absolutely necessary in today’s world. It’s good cognitive training, so I would still recommend it and basic arithmetic skills are necessary to understand higher maths and be able to use a calculator.
As I’ve pointed out in another comment, LLM companies are terrible for a variety of reasons and I despise their business models, but saying that the models are not useful is a notion not rooted in reality, imho.
I use LLMs very rarely, almost exclusively for rubber ducking extremely niche problems with Bash scripts. Last time I used it was last week. Without fail, it randomly inserts globs on pseudocode variables, values, reserved words, and more.
Calculators are deterministic though and you still need to know math. You can’t just enter a word problem into a calculator and get an answer that is maybe correct. I’ve been following AI since gpt2 and imho after 4 the only thing that’s gone up is the version number and the size of the bubble.
I have scarcely seen any math people refuse to do math because they do not have a calculator. And truthfully, I would mock them for it if they did.
But I have seen plenty of people refuse to do anything if their LLM couldn’t.