Sadly, the only useful thing “AI” does really well is search. I don’t use AI white for anything anymore besides for getting much, much better results for search queries.
I think you mean answering questions, not search. Search would be giving you links or quotes from existing documents and nothing more. With time AI is going to get a lot better at everything. And it will become less wasteful so the environmentalist reasons not to use it will fade. The only thing that can keep people from using it indefinitely is understanding its devastating consequences for society and human existence.
That is, to my understanding, not at all what is happening. LLMs are mainly getting better because they’re being fed with more data and having more layers. This directly makes their environmental impact worse. They will also reach computational limits, hopefully sooner rather than later. So there is currently not much indication that generalist AI will keep getting better, nor that it will become less wasteful. Purpose built smaller models could be both, but they’d far more closely resemble any other software tool than LLMs, both in use and social impact.
AI got a lot better in recent years because of transformers and the multi-head attention mechanism. Some more major breakthroughs will be made with a bit more time that will greatly boost accuracy and efficiency. Technology progresses exponentially so advances will get more and more common. One example of how LLMs are currently getting more efficient is DeepSeek’s improvement of sparse attention. There are trillions of dollars being thrown at these problems and they’re racing as fast as they can because there’s an arms race as well as heavy market competition.
Sadly, the only useful thing “AI” does really well is search. I don’t use AI white for anything anymore besides for getting much, much better results for search queries.
I think you mean answering questions, not search. Search would be giving you links or quotes from existing documents and nothing more. With time AI is going to get a lot better at everything. And it will become less wasteful so the environmentalist reasons not to use it will fade. The only thing that can keep people from using it indefinitely is understanding its devastating consequences for society and human existence.
That is, to my understanding, not at all what is happening. LLMs are mainly getting better because they’re being fed with more data and having more layers. This directly makes their environmental impact worse. They will also reach computational limits, hopefully sooner rather than later. So there is currently not much indication that generalist AI will keep getting better, nor that it will become less wasteful. Purpose built smaller models could be both, but they’d far more closely resemble any other software tool than LLMs, both in use and social impact.
AI got a lot better in recent years because of transformers and the multi-head attention mechanism. Some more major breakthroughs will be made with a bit more time that will greatly boost accuracy and efficiency. Technology progresses exponentially so advances will get more and more common. One example of how LLMs are currently getting more efficient is DeepSeek’s improvement of sparse attention. There are trillions of dollars being thrown at these problems and they’re racing as fast as they can because there’s an arms race as well as heavy market competition.
Skill issue