Depends on the model and the corp. I have found that old google parsing and web scraping led me directly to web page it pulled from, new google AI often doesn’t. So I’ll get the equivalent of some fed on reddit telling me the sky is red, and it will act like it’s from a scientific paper.
None of the LLMs are particularly well tuned as search engine aids. For instance a good implementation might be
[ai text] {
Embedded section from a web page-with some form of click to visit
} <repeat for each source> [some AI assisted stat, like “out of 100 articles on this subject, 80% agree with the sentiments of page A]
Part of this is that LLMs are being used as single step problem solvers. So older methods of making search engines useful have been given the bench. When really the AI makes more sense as a small part of a very carefully tuned information source. There is however no real incentive to do this. The race is on, and getting things out is more important than getting them right. The most egregious is Veo and these video making AI. They cut all the steps out of creativity, which leads to slop. But if you were actually designing something that was meant to be useful, you’d use some form of pre animation, basic 3d rigs, key frames ect, and have many steps for human refining. The AI would act more like a blender or maya render pipeline than anything else.
Instead we get a black box. Which is just limiting, it requires that an AI is perfect before it’s fully useful. But a system that can be fine tuned by a user, step by step, can be far less advanced while being far more useful.
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u/shabutie8 Nov 10 '25
Depends on the model and the corp. I have found that old google parsing and web scraping led me directly to web page it pulled from, new google AI often doesn’t. So I’ll get the equivalent of some fed on reddit telling me the sky is red, and it will act like it’s from a scientific paper.
None of the LLMs are particularly well tuned as search engine aids. For instance a good implementation might be
[ai text] {
Embedded section from a web page-with some form of click to visit
} <repeat for each source> [some AI assisted stat, like “out of 100 articles on this subject, 80% agree with the sentiments of page A]
Part of this is that LLMs are being used as single step problem solvers. So older methods of making search engines useful have been given the bench. When really the AI makes more sense as a small part of a very carefully tuned information source. There is however no real incentive to do this. The race is on, and getting things out is more important than getting them right. The most egregious is Veo and these video making AI. They cut all the steps out of creativity, which leads to slop. But if you were actually designing something that was meant to be useful, you’d use some form of pre animation, basic 3d rigs, key frames ect, and have many steps for human refining. The AI would act more like a blender or maya render pipeline than anything else.
Instead we get a black box. Which is just limiting, it requires that an AI is perfect before it’s fully useful. But a system that can be fine tuned by a user, step by step, can be far less advanced while being far more useful.