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What about surveillance? Lately I've been feeling that is what it's really for. Because our data can be queried in a much more powerful way when it has all been used to train LLMs.


- Companies had to go in that direction. You cannot just fall behind AI gold rush

- These solutions are easier for people, and therefore will win in the long run

- these solutions benefit companies because of the surveillance data they have access to now. They always had some data, but now they collect and process even more

- those who control AI will be the kings of the future, so naturally everyone will be running toward this goal


>those who control AI will be the kings of the future, so naturally everyone will be running toward this goal

The average user I've seen takes LLM output as objective fact. One only needs to look at muskgrok to see where that's headed.


AI was good for this before LLMs. LLMs would only introduce compounding errors to the dataset (I hope they do it)




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