It's quaint that you think the United States is still a republic. It's a monarchy, and Trump's handlers are likely moving currently to make sure that when Vance succeeds him, that the Executive branch and a Congress that will be, through the use of naked force if necessary, remain filled with Republican paper tigers to complement the paper tigers in the Supreme Court, settles into the oligarchy the Framers always really intended it to be. The military will largely be used to recreate the American hemispheric hegemony. The National Guard and ICE will be used as foot soldiers within the US to "secure" elections.

The morons that elected that diseased wicked and demented man have destroyed whatever the hell America was. As a Canadian, I can only hope we can withstand this hemispheric dominance and the raiding of our natural resources to feed the perverse desires of the child molesters, rapists, racists and psychopaths that have already taken control of the US.

Doubtless, I will be downvoted by the remaining MAGA crowd here. You know, the guys that pretended they refused to vote Democrat because Bernie wasn't made leader, but are to a man a pack of Brown Shirts eagerly awaiting the time when they imagine they can take part in the defenestration of American society.

For consumables you're right, but you can often get great deals on "durable" goods where quality isn't an issue. Paper plates: bad idea, but cheapo dishes? Fantastic. Sunglasses that you just want to block the sun and don't care what they look like? $1.25 last time I was there. With many things, it makes sense to buy a more expensive but higher quality version, but some things the rock-bottom cheapest piece of crap is just fine, and the only places that will come close to dollar stores are Temu and AliExpress.

Whatever, dude.

Efficiency is based on differences in energy that are economically accessible, not on some rambling theories in a newline-free paragraph.

You can access room temperature. You can' economically access the blackness of outer space from the earth's surface. Likewise, you can access the negative terminal on your battery, but not some static charge in the upper atmosphere.

You pump X amount of energy into a heat engine, it expels that energy to an accessible exhaust, and typically 70 to 95 percent of that energy is *not* converted to work. You pump X amount of energy into a battery, it dumps that energy through a motor to its negative terminal, and only 5 to 10 percent of that energy is not converted to work. That's the only way to practically analyze the situation.

We could also all have infinite free energy if we could access the levels below the zero point energy in the quantum fields. One little problem: that's not accessible either.

I'll find out in mid January, lol - it's en route on the Ever Acme, with a transfer at Rotterdam. ;) But given our high local prices, it's the same cost to me of like 60kg of local filament, so so long as the odds of it being good are better than 1 in 8, I come out ahead, and I like those odds ;)

That said, I have no reason to think that it won't be. Yasin isn't a well known brand, but a lot of other brands (for example Hatchbox) often use white-label Yasin as their own. And everything I've seen about their op looks quite professional.

For the example in TFS of 200F water and assuming room temperature exhaust, Mr. Carnot says that the max possible efficiency is less than 20%. Any real world engine, including this one, probably ends up at a low-to-mid single digit percent efficiency. IOW, the vast majority of the heat would still be wasted.

The operator of the facility generating the waste heat might get more energy savings at lower cost by tweaking their processes to be a few percent more efficient in the first place, instead of trying to recover this low-grade energy source with an elaborate engine and plumbing.

Fortran has some optimizations involving pointers that are invalid in other languages like C. So it can be the absolute fastest outside of hand optimized assembly (which is very difficult to do better than a compiler these days). It also has advanced math libraries which are highly tested and optimized. So its niche is highly performant math and scientific programming.

Once you import numpy, Python has arrays.

That would never fly. You just know that some dufus at the gym would bring a 10kg steel dumbbell into the MRI room and ruin things for everyone.

They tried, but quarreling parent groups couldn't agree on whether to teach the kids that they were coding with 3 registers or 259 registers.

I think that many of those people were also recent DOS users. Given that DOS systems would often simply freeze up several times per day and require a reboot (easy to do since any bug in the user's application could do this), once they added a protected mode pseudo-kernel to Windows (maybe starting with Windows/386 2.1), it was actually a slight improvement over what they were used to since DOS crashes could sometimes be isolated to one virtual terminal.

Win9x and Win2k (and the other NT descendants) are fundamentally different operating systems. In general, NT had a much more robust kernel, so system panics were and remain mainly hardware issues, or, particularly in the old days, dodgy drivers (which is just another form of hardware issue). I've seen plenty of panics on *nix systems and Windows systems, and I'd say probably 90-95% were all hardware failures, mainly RAM, but on a few occasions something wrong with the CPU itself or with other critical hardware like storage device hardware. There were quite a few very iffy IDE cards back in the day.

The other category of failure, various kinds of memory overruns, have all but disappeared now as memory management, both on the silicon and in kernels, have radically improved. So I'd say these are pretty much extinct, except maybe in some very edge cases, where I'd argue someone is disabling protections or breaking rules to eke out some imagined extra benefit.

Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg :) Years worth of supply for me.

The current "AI" is a predictive engine.

And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)

It looks at something and analyzes what it thinks the result should be.

And that's not AI why?

AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.

It is absolutely crazy that we are all very very soon going to lose access to electricity

Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.

AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.