Using it for knowledge is bonkers.
Why not buy some educational textbook company and use 99.9% correct data? Oh and use RAG while you are at it so you can point to the origin of the information.
The real evolution still has to come though, we need to build a reasoning engine (Q*?) which will just use RAG for knowledge and language models to convert its thought into human language
In other words - say you have a model that is semi-smart, often makes mistakes in logic, but sometimes gives valid answers. You use it to “brainstorm” physical equations and then use formal provers to weed out the correct answer.
Even if the llm is correct 0.001% of the time, it’s still better than the current algorithms which are essentially brute forcing.
If you need to effectively provide this whole secondary dataset to have better answers, what value do the tweets add to training other than perhaps sentiment analysis or response stylization?
interesting.
And Elon's recent polarising nature and the callous nature with which he disbanded the Tesla Supercharger team means that truly talented people aren't going to be as attracted to him as in his early days. They are only going to be there for the money.