>cushy government grants
Dare we say… 'handouts'? Gee, seems like that might not be such a bad thing after all.
Want flyover America to grow economies and produce stuff to perk up SV's ears? Pay it to do so.
People treat economics as if it's a merit-evaluating system capable of managing the ground its actors grow from, and it's absolutely not. Money is better considered as a vote, or like water in the environment. You can't have it function both in its fundamental property of facilitating commerce, and as a score indicator. I think something akin to 'likes' ought to replace money as the score indicator, and money ought to be entirely allocated to population-wide commerce.
That means entirely abandoning the connotations of 'value' it has, reimagining it as 'abstracted power', and leaning much harder on the capacity of populations to innovate. It is stark madness to assume that the capacity to accumulate abstracted power (money) signifies ANYTHING other than itself, plus the ability of that power to convert back into actions (easily mistaken for merit or virtue!)
Anyone who's seriously dug into the genetic algorithm ought to be able to see the merits of doling out 'power' (money, ability to act in an economic system) across a massive population of organisms who're on the whole still individually more intelligent than AI could hope to be.
Starving populations of humans to death for the crime of not being as economically powerful as Silicon Valley is not only immoral, it's a grotesque and foolish waste of intelligence and innovation resources. Elon Musk is a clever and interesting fellow, but he's WAY less intelligent/innovative than a supported POPULATION of humans. You only think he's that much more clever, because his resources are almost unmeasurable compared to the fellow (times 10,000) in Boise Idaho with just a garage, who've got almost no resources at all.
Genetic Algorithm says to focus solely on giving more resources to Elon is producing a local maximum and screwing yourself in the long run. We can't afford to make that mistake.