This clown can theorize what he likes but we need a strong military. Strong energy policy of drilling and production at home. Strong AI because we are up against Chinese AI research.
Our strong military that can project forces, also keeps our Dollar strong.
1. We can have a strong military for far less than $1.5T annually.
2. George Washington would be rolling over in his grave over this statement.
There is one area which does not fit cleanly with the rest...
Strong AI because we are up against Chinese AI research.
At this point AI is being marketed as a solution for all sorts of purposes, but it typically has very limited strategic value to our country, our businesses, or our military. You are basically quoting the narrative of the marketing currently in vogue.
Current generations of AI models do have value, and that is why I am an enthusiast and use AI for many purposes. That is why I started this thread because in the not-so-distant future (a year or two) local hardware, the computers that we possess ourselves will be multiple times more powerful and will be in a price range that normal people can afford and justify purchasing.
But various studies show that the quality of work being performed in nearly every area and for every purpose tends to get worse not better when AI is used by professionals and enthusiasts alike. AI likely does have and will continue to have value but at this point it is far less than what the current marketing indicates. And in fact, we are currently being saturated with AI slop that is hindering rather than helping our society in many ways.
“The briefing examines a profound paradox in modern workplace technology: while artificial intelligence is marketed as an productivity “easy button,” empirical data reveals it frequently erodes worker capability. By analyzing recent studies from Harvard Business School, MIT, and Stanford, the video exposes how over-reliance on large language models (LLMs) stagnates professional skill development, injects “trend slop” into strategic planning, and creates false perceptions of efficiency. Ultimately, the narrative challenges the prevailing corporate view that general-purpose AI can seamlessly automate high-level knowledge work without severely degrading output quality.”
Here is the video:
https://youtu.be/xBHuEbp0hrE
And here is the time stamped summary:
https://gemini.google.com/share/ac7a19ef79d7