You speak as if Toyota wouldn't move the market themselves and needs the pricing Tesla needs to make a profit. I also don't understand the concept that hybrids are cheaper. They are cheaper because it is Toyota making a more complex car than a non-car maker could attempt.
All the "complexity" of a hybrid (or at least... a Prius) is approximately 15 gears that replace the alternator/starter/transmission.
The Toyota Power-split device is a planetary-gearset connecting 2x electric motors/generators with 1x ICE engine.
But a regular ICE car needs 2x electric motor/generators *anyway*. #1 is called the starter (turns Lead-Acid battery pack into cranking force to start the engine), and #2 is called the alternator (turns engine RPMs into electricity to charge the battery pack). Then you need a gear-shifter to have the ICE car handle a variety of different speeds.
Change #1 and #2 to be bigger, stronger. Then make the effective-gear shifting a function of the relationship of #1 vs #2 RPMs, and you got a Toyota Power Split Device.
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Its so efficient and usable, that Ford has copied the design, as well as Stellanis's Chrysler Pacifica. As it turns out, a Hybrid barely has any more complexity over a regular ICE in practice.
Its just a *different* set of gears, but really not a big deal.
Over the last 25 years of Prius, the Hybrid / Power-split Device has rarely failed. Prius transmission / generator / starter is incredibly reliable. Its just gears.
All in all, the "complexity" of a Hybrid is roughly the same level of complexity as an automatic-transmission wet-clutch device.
Toyota has no problem trying to make hydrogen vehicles happen despite the hydrogen stack costing over $10k.
In other words, The reason Toyota doesn’t have a successful EV line is due to Toyota not wanting to try because they bet on hydrogen early on instead of EVs
For someone as described being able to do loops in python is equivalent to expecting a theoretical mathematician to be good at accounting.. It is kind of a coincidence if these people write code on the side or do their own accounting.
Not really, not in ML. You can't do anything in ML without writing some kind of program, even if it just glues together sklearn or pytorch calls. I'm not talking about advanced algorithm knowledge, but merely being able to cobble together the kind of program their CV implies they do on a daily basis.
Again, I don't know if it applies to the Reddit poster, but I sure met people like this.
One example, not an academic, but someone who claimed he "revolutionized" his Important Department at Big Corp using ML and NNs, and didn't know what gradient descent is. I don't mean he couldn't implement it on the spot, rather be never heard of it, and couldn't understand when I described it to him.
Another one, PhD candidate in computer science at top-10 uni, self-described "expert" in C++, could not, indeed, write a C++ for loop over an integer range. Or indeed a for loop in any language of his choice - he had known, but forgot. He had a number of publications that sounded sane.
Anyway, if someone is an ML academic, wants an industry job, and can't code enough, that would probably lead to the described outcome. And again, I'm not jumping to that conclusion.
It seems to me like you've just described hiring a mathematician on arithmetic skill. If you hire this way of course many will use code practice tools to pretend they are juniors or incapable of delegating since most of their time should be occupied with less low level ways of doing things or assigning things.
I can go a long time without writing for loops, the better I know the surrounding tools in an ecosystem, the less I accidentally reinvent something with details that low.
I don't remember all that much about pandas, but enough to try to use it to do a matrix operation instead of writing the for loop if I were assigned a ML task for some reason.
Better engines and lighter materials were about fuel, a serious operating costs that goes into calculating the profit of a route when presuming maximally cheap consumers, AFA I understood.
The wetware devices (like the hobby EEGs) of the early internet made it a point to never be plugged in to mains..
There's a bit of a correlation causation issue with understanding these studies of one. It seems quite possible that they zap away inhibitions, but equally likely that one has reduced inhibitions if one is inclined to solder things together and push them against one's skull to see what happens.
I thought the point was to coincide with new Assange coverage. One has to be careful what megalomaniacal espionage State that cynically abuses judicial processes is being discussed.
This also came out the same day that Ukraine officially withdrew from Avdiivka and a day before the US vetoed a ceasefire in Gaza (and completely buried those stories).
At the same time though, Russia definitely is not reacting to this the way an innocent party would. So even though Navalny's death mostly benefits the West, incomprehensibly it does look like Putin's doing.
>Russia definitely is not reacting to this the way an innocent party would
Why would they want to admit that another country was able to assassinate this high profile prisoner in order to undermine them? It's a similar reaction to what happened after the West/proxies blew up the Nordstream pipeline.
The burial detail needs to do a more thorough job. The vetoed ceasefire was in The New York Times and The Washington Post, and on NPR. I didn't hear anything about Adiivka on NPR--we don't listen to it that much, but it absolutely made the papers.
Anyone can make a cotton gin.. Industrialization of an industry basically centralizes its profits on a relatively small number of winners who have some advantage of lead time on some important factors as it becomes not worthwhile for the vast majority of participants from when it required more of the population.
I'm kind of surprised that on average Americans continue to accumulate more wealth than debt. I'd prefer to be seeing median numbers to totals per generation.
It seems to me like the problem is housing, an artificial scarcity. If there are full time workers who are homeless then any amount of wage rise is immediately consumed to out compete for a place to live and if that still puts one near that line, one has to cut health care and food expenses to keep out bidding.
