They are doing that, this scales to ~100-1000s of people per state. I suspect that on the current trajectory they will need to monitor far more and they are dealing with technology that most likely has been compromised by the US but not them.
I almost exclusively play steam games and I couldn’t imagine a more seamless experience. You go from buying a game to playing it in a matter of a few minutes to hours. There are rarely any surprises if you use current gen or slightly older hardware.
If the question is what energy production method should be used it is certainly not. The Green Party in particular did probably more harm to the environment and damaged or geo-strategic position by making us dependent on foreign Gas and by extending the economic viability of open-pit mines. We were leaders in nuclear technology and research and could be energy independent by now.
Great but I want the same deal for the coal and gas companies that produce electricity, make them responsible for every ton of CO2 they emitted and make them responsible for removing it from the atmosphere.
Of course if you do theory you barely have to work more than 4 hours a day can be counterproductive unless you are embarking on a Lurie or Grothendieck style project and work 12 hour a day.
You are right this is practically and theoretically impossible: The no-cloning theorem tells you that it is impossible to “copy” a quantum system. So it will never be possible to create an atomistic copy of a human. Technologically we are of course also miles away from even recovering a complete connectome and I don’t think anyone knows how much other state would be needed to do a “good enough” simulation.
Gnome has become objectively worse, much worse in fact compared to the version that I have used regularly. My desktop runs Windows now and if I happen to use it for work I will prefer to remotely connect to it, so that I don’t have to deal with whatever the Linux desktop has become.
Sundials (https://computing.llnl.gov/projects/sundials) is arguably more feature complete, has many optimised implementations scaling to super computers and supports both adjoint and forward sensitivity analysis. Btw. several "research" papers at machine learning conferences on "Neural Differential Equations" presented "discoveries" covered in the documentation of Sundials https://sundials.readthedocs.io/en/latest/cvodes/Mathematics....
As far as I'm aware there is considerable prior art, since solving this problem has been relevant since at least the 70s. Granted the barrier to entry was far higher then, then now, but we are talking about scientific / engineering applications and there the prior investment in specialised tools has always been justified. A contemporary example is http://www.dolfin-adjoint.org/en/latest/, but there are others. Sundials for example also both supports completely custom linear and non-linear solvers in conjunction with adjoint sensitivity analysis.
I find that claim highly dubious, solving differential equations rarely yields to completely generic methods and there are plenty of solver suites in other languages, among them C++ and wrappers for Python. To use scientific machine learning you don't necessarily implement all methods under the sun, just a method appropriate for the domain at hand.
Could be a way of coping with the fact that they never had good sex. Sex can be pretty terrible, awkward and not fun at all if you happen to be with the wrong partner that night.
You can look at “QFT in a nutshell” by Zee, a highly recommended and pretty accessible book (to the degree a book on QFT can be accessible), for the computation of g for the electron to one loop order. That calculation can also be found in “Quantum field theory and the Standard Model” by Schwartz in Chapter 17 (p. 321). I’m not aware of a textbook exposition of the calculations relevant for the muon g.
Exactly in some sense we (collectively) are doing most of the hard work, by providing these models with a vast number of samples of "intelligent" behaviour and expression. An embodied system wouldn't be able to learn anything as it stands, because none of the "bootstrapping" steps humans do are adequately captured by current training methods.
I could have made the point differently. What I wanted to emphasize is that there is an external view of a given field and an internal view. The actual inner workings and process are poorely understood and the few public debates give a very skewed view of the field.
We need to figure out what we are missing, namely what is dark-matter, how does it interact with the currently visible matter, are there extra dimensions and so on. Once that it is figured out it might well be that we could engineer systems beyond our wildest dreams, we just don’t know yet.
Europe has an aging population, which is obese, smokes and has heart problems. It is a dying continent whose boomer generation has decided to transfer large amounts of IP to China for a short term profit, while refusing to have children, protesting against the establishment and being generally useless in their youth.
The millennials and gen-z is royally screwed, the writing has been on the walls for years.
In any case this is not how science works, you do theoretical physics by publishing in peer reviewed journals and your peers decide whether what you are doing is worthwhile or not. Both Smolin and Hossenfelder have been somewhat successful in doing so themselves, but Hossenfelder specifically didn’t manage to secure a professorship for various reasons and I am sure she has some axe to grind (again probably partially justified, partially not).
An all out war would mean full
mobilisation of the 2-4 million soldiers Russia has, strategic bombardment on a much larger scale, a war economy. Russia is fighting with a full-strength expeditionary force, Ukraine has conscripted every man of fighting age they could find and has forbidden men from leaving the country.
I am unsure, a long term conflict would lead to both rising food and energy prices, both China and India still trade with Russia. It might further motivate technological independence from the west of those countries. Overall it could just accelerate the decline of the West and Europe in particular and a final shift of power to Asia.
If they manage to capture the coast including Odessa and the Donbass, they will have recovered a large chunk of the Russian speaking population lost after the dissolution of the Soviet Union and add a lot of industrial capacity. Long term this would benefit Russia, Ukraine would be reduced to a rump state.
But yeah the pre-2014 situation would be vastly better for all sides involved. Ukraine could have taken the Belarussian or Khazak trajectory.
It is save to say that they are not fighting an all out war and it is not just because it is unpopular but because they don’t need to yet. Ukraine has already mobilized everyone they will likely ever be able to mobilize and has run out of domestically available stockpiles.
A drawn out conflict favors Russia, even though they surely preferred to solve this with a decapitating strike within a week. Ukraine’s economy has collapsed, Russia’s economy has suffered but not as much, the sanctions on oil actually will likely result in higher profits. Last time I checked Russia had a 10/1 advantage in heavy artillery, has not mobilized its army but is fighting with 1/5 of its available peacetime forces, whereas Ukraine is fully mobilized and has suffered massive casualties among its most capable forces.