131 karma · joined June 17, 2017
>In California, the largest EV market in the US, 2.7% of new vehicles sold in the first quarter were EVs, up from 0.4% in 2012, according to the California New Dealers Association. California is Tesla’s largest market. Something big needs to be done to help the Bay Area company, which has lost money every single year of its ten years of existence.
But something along the lines of the dynamics seen in reaction diffusion systems.
Once you have a "metabolism" where interacting chemicals produce one another, you have a system that can sustain itself on it's reactants.
In a mess of random reactions, order will emerge through feedback effects, chemicals that are used up are used up, those that are replenished will increase in concentration.
Various regions will have different ratios, and different impurities giving a landscape in which versions of the metabolism may specialize or interact. ... Some regions produce molecules that self assemble into things like walls and membranes. ... RNA, likely around as a component the whole time, at some point it is specialized into an information medium role.
Stir continuously, simmer for 1-billion years or until it photosynthesizes.
I expect chemical metabolisms pre-dated organisms, and purely metabolism based replicators pre-dated stored instruction replicators.
x_l = H_l([x_0, x_1, . . . , x_l−1])
Could be re-written: x_l = [H_l(x_0), H_l(x_1), . . . , H_l(x_l−1)]
I don't know if learned models are novel, but they certainly aren't vanilla MPC. (In my quick scan of them, only second paper mentions learning models)
Take the Newtonian gravity model, if force is proportional to 1/distance^2, as distance approaches zero, the force approaches infinity.
You can simplify all points in a region as being one point for points that are far away, but that doesn't help with the infinite force problem with close points.
And it's a pretty long ride out.
I haven't used it, but FAQs, Forums, wikis, and tutorials are all out there.
There exists at least one consumer/thinker.
Why do think that is? Governments that have the blind trust and loyalty of their populations are more vulnerable to corruption.
But they won't, unless it happens to project near one of your dimensions.
If the 7 components can only be understood as linear combinations of 60 factors, your experts still need to provide 60 scores.