Nvidia, Anthropic and OpenAI are controlling everything, and nothing is improving for everyone, quite the opposite. So I just hope they crash to the ground.
The Chinese are really going strong on destroying the American AI economy bubble. Honestly, despite the fact that I'm totally pro USA and anti China, I think we should help them crashing the American AI bubble. They are controlling everything and we can't even buy a new computer nowadays while getting no benefit from this. I wish some influential programmers stimulated coders everywhere to skip Claude and Chatgpt subscriptions for Chinese ones, at scale. If we programmers united we could help this bubble burst, I'm sure.
My point is, we have programming languages like C and C++, we have operating systems like Linux and FreeBSD, we have an empire of software and knowledge accumulated because of the intellectual battles fought by people before AI. With AI, we all are getting our coding easier (and are kind of being forced to), in a way that we will skip these kind of battles. That is, if we all use AI to make our job easier it will have some short term gain but we will end up as a whole ceasing to advance human knowledge with new stuff that has to come from real intellectual work. Like, I don't see people coming up with new outstanding technology if we all sucumb to be AI dependent.
Well despite my current anti AI sentiment, I have to admit that after reading the article, It was a good use of AI, done by someone with good technical skills. Still I have the feeling that this only works because of the vast accumulated knowledge pre-AI, and if everybody keeps going in this path, it will end up making everyone not advancing their knowledge at the pace they did before. I feel that this AI immersion is really about selling our soul to the devil for short term gains.
I honestly wonder if this kind of stuff really brings something to the table. Like I use opus for sometime and certainly I can put it to good use and optimize some parts of my day to day job (programmer). But it fails so hard in such simple tasks that it seems to me that putting it in loop can't just magically make everything better, unassisted. Does anyone actually uses agents and loops to create new software, new technology? Has anyone created with those systems, software they couldn't produce otherwise technologically wise? Or is it at best just an accelerator, cutting off on the building time?
No no, I didn't say that at all. I'm just saying that the studies are irrelevant since models got a boost in their competence. I'm not in a fight pro or against llm's, I know how they work and their limitations. But the complexity of the problems they solve increased since opus 4.5 . If you can't admit that, it's your problem.
Also, I'm not blaming users for their shortcomings. I'm just saying they are not perfect but you can get different outcomes according to how you use them.
It's different this time. You can see that at the same time, they are finally, definitely solving hard mathematical problems. They passed the phase of just being like good search engines to being actual generators of new data from their generalizations. I can give you a simple example. Any code they generated before brought frustration and they would loop with feedback. Now they actually produce "human level" code.
Until some days / weeks ago, LLM's for coding was more hype than actually real code producing. That is gone now. They clearly leveled up, things will not be the same anymore. And of course this is not just for coding, this is just the beginning. A month ago it really seemed that the models were hitting a complexity wall and that the architecture would need to be improved. Not anymore.