this post was submitted on 04 Oct 2026
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There is something here:
The big argument for why AI is supposed to be world changing, is the assumption it will be able to automate things better than a human, eventually.
That some day an AI will be able to make a better AI than a human could, and that AI would then be able to make an AI better than itself, and then it just becomes a question of who has the most hardware. Which is why the data center building is being pushed so hard.
But that assumption is the same as thinking a fallen object will keep gaining speed until it passes the speed of light. Or that Moore's law would really keep going forever despite a very real limit in physics for how small a chip can be.
A society where AI "drives innovation" will become technologically stagnant, because it literally can't innovate.
AI may impress the masses, but it reminds me of a cammercial we had on Dutch tv back in 2005. It showed a person driving a car, the navigtion system said "turn right" and the person immediately turned right into the bushes [video]. We laughed at this back than, but this is literally how AI behaves now. It might be getting more suffisticated, but it still operates like this.
AI will happily tell you that is a stupid idea at this point. The bigger problem is that a LOT of users actively tell the models to listen to them, not to question them, and to never push back. To do things on demand and with out planning out the next step.
At this point no reasonable model of any reasonable size should struggle with this sort of task. And they generally speaking don't. Its almost always user error poorly driving them now. The models arn't smart, they don't understand things. But they also arn't out right stupid. So long as you give them proper instructions, plan things out before hand properly and draft jobs correctly. They can and WILL do things right and not act like idiots.
People are expecting them to be proactively smart when they cant. They can be reactively smart and people just don't understand the difference. The models need to be treated like a well educated junior with no real world experience and they do really well.
Unironically middle and lower management skills are some times the biggest factor in proper useage of these models when used on large projects. Which i also find it funny that 9 times out of 10 real management people tend to have the worse management skills and thus struggle the most with using LLMs in a safe or reasonable fashion.