sandeepkd
8 hours ago
My hunch is that in the long run its going to be net negative in software. A lot of companies exists as of today cause a lot of people were able to just focus on building without constantly worrying about the fear of lay off. With the concept of job security based on talent and effort being dismantled, everyone would always be in a constant look out mode now.
bigstrat2003
5 hours ago
It's already a net negative, not just for software, but overall for humanity. The supposed productivity gains are a lie, it's causing people to be confident in information which is false, it's enabling people to treat each other like jerks in even more ways than before. AI is genuinely one of the worst things the tech industry has ever created.
abletonlive
3 hours ago
> The supposed productivity gains are a lie
This reads like a comment from 2025. LLMs are solving novel math problems and they successfully emulated a PS5, this week lol. You really need to update your priors. It's amazing how many people refuse to do this and make a fool of themselves in public
sersi
3 hours ago
One doesn't invalidate the other. Yes LLMs have been very successful at solving math problems when guided by mathematicians who know what they're doing. The same is true for emulating a PS5 or (insert cool new project of the week developed with LLM).
On the other hand, when I use LLMs, I regularly see them confidently claim information confidently that is false. So, I'd say productivity gains are true but there's also a cost of wrong information being used to make decisions due to AI.
egeozcan
37 minutes ago
> On the other hand, when I use LLMs, I regularly see them confidently claim information confidently that is false
When talk to people, I regularly see them confidently claim information that is false as well.
This is not the point where LLMs become useless. LLMs become useless when we understand that we are social creatures and that many times the road is more important than the destination. Also, when you provide instant-travel to all the destinations, the destinations lose their value as well.
egecant
2 hours ago
I think a lot of the problems or gains attributed to AI are just reflections of the humans that use them.
I dont care if you used AI to produce something. If you share it with me, I assume you are responsible for it. You own it, whether you agree or not.
> it's causing people to be confident in information which is false, it's enabling people to treat each other like jerks in even more ways than before
What is the direction of causality here? Does AI make people jerks, or they were already or prone to be jerks?
The same applies to innovations or breakthroughs made by people who use AI in their work.
> LLMs are solving novel math problems and successfully emulated a PS5
Did the AI independently accomplish those things, or did highly competent people accomplish them using AI as a tool?
What would happen if you give someone with no mathematical or programming background the same frontier models that OpenAI used for their mathematical proofs [1]. Would they produce the same discoveries?
I think of humans as constants. They can bring positive, or negative value to the table. The AI is the multiplier.
Take software engineering. If you let someone who doesnt care about code quality (their constant is negative since any code they write will introduce a tech debt) push code to your repo using AI, it will destroy your project. But let an engineer with strong fundamentals and high standards use AI to push code to your repo, they can improve the project much faster than they could without AI.
omnicognate
an hour ago
LLMs are solving outstanding maths problems by trying a load of stuff until something works, which is exactly what they do in software. If you want a system built out of square blocks jammed into round holes they'll make you one in no time, but if you're working in an area where non-functional requirements actually matter (there are lots) the slopnami is a living nightmare.
ChrisRR
3 hours ago
That's not really true though. There were still massive issues with outsourcing and 2 or 3 recessions