A quick analysis of the data showed law enforcement officers were the fastest driving vehicles on the road and 62% more likely to be on a device while driving. We'll, it doesnt say that but that's what I'd expect to find if I had the data.
Imagine where we would be today if this was where we were on the C64 in 1982. If we had the concept and ability to create these models and run them on machines and how much that would have evolved by now.
We did. People have been doing impressive AI demonstrations before they're was hardware to run it. E.g. Turing implemented a chess playing program, but had to have his colleage execute it manually to play a game.
Sounds about right. I remember hearing about it first in a talk being given by Doug Crockford at my university around that time. It blew my mind. I thought it was like gcc for the Internet. It's kind of wild that in the interim we have experienced the complete rise and fall of mongodb, node.js, even today the react paradigm are all expressions of this tiny little functional scripting language..
Moving to K8s, adding in additional instrumentation, just sounds like some new folks took over or joined the project and are doing some renovations. Seems like pretty standard stuff, doesn't really seem as sinister as you make it to be.
The market is saturated. American farmers already buy as much alfalfa as they want. The next unit of alfalfa is worth basically nothing to them.
To sell more alfalfa in America you'd need more farms to raise more cattle (the main use for alfalfa), which would put even more strain on the American water supplies. That would produce more meat, which you could sell to China, but it would be more expensive than the Chinese homegrown beef, which they'd buy more of.
