I'm not saying AI isn't a good tool. However the less you understand what you're using and what you're doing the further you stand to geopardize the business you're working for.

The problem with scientific papers is that there is an exploitive macro economy of how many one can publish without sold evidence or research attached to the paper itself.

Nvidia is worth so much if it fails it takes investments with it. The risk is too high.

I think investors are starting to see stress on the market for fewer working people contributing back as customers and investors themselves. This creates depreciation in share value as no one is willing to invest.

It is a very fun tool when used correctly. I think there is a point where our current technology will wall before we achieve genuinely good AI. We're starting to see that now.

We are also over invested in it which also leaves us vulnerable for a crash in the market.

Personal opinion we need to focus more on efficiency instead of how large or complex a model can get as that model creeps into more resource requirements. If the goal is to cost a billion dollars to operate than we've really lost the idea of what models are supposed to be achieving.