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.

That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.

Believe it or not, people in the field are familiar with these sorts of things that you just read about.

Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.

Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.

The simple fact is that what enabled LLMs is enabling most of this other stuff too.

Jevons Intensifies

I've done my first test of buying a whole pallet of filament straight from a Chinese manufacturer. It's a risk - it could be all junk - but if it's usable, the price advantage is insane. Like $3/kg for PETG at the factory gate (like $5/kg after sea freight and our 24% VAT). Versus local stores which sell for like $30/kg.

I'd love to see someone try to 3d print with a filament that melts at 162K. Where do you even buy xenon filament? ;)

Fun fact, Weller trained with world-class mimes to do a very fluid, fast, bird-like robotic physical language for RoboCop.

Then he put on the suit for the first time, and couldn't move.

So they carved huge chunks of the suit out, and he could barely move.

So he had to work to come up with a new physical language that was more heavy, slow, deliberate, and tank-like.

Yeah, if you had injected moulded PLA, it would have been just as terrible

Early on, I was overdoing chamber heating, and later discovered that was part of my problem. A blanket and a duvet can get a P1S's chamber over 70C. But if you do that, in my experience, like half an hour or so into the print you'll get heat creep problems and the filament will split & the extruder will just dance around in the air as though it were clogged (though maybe my filament was just garbage... it certainly was *wound* terribly). I ended up using a meat thermometer stuck in through one of the holes to measure temperatures, and then I'dadjust the positioning of one small blanket over the chamber to try to keep it in the mid to upper 50s, and was able to finish big prints that way.

But yeah, whatever means you use, you need some sort of raft and very strong reinforcements.

As was mentioned earlier, this isn't talking about a turbine blade, it's talking about an air intake. Also, "millimeter level"? This isn't the early 2000s. I usually print with a layer thickness of 100 microns, and the printer's control of the Z axis is well finer than that.

The problem is that they made an insane choice of a material for the intake. It was supposed to be ABS-CF, but instead it was apparently PLA. Corn plastic. The stuff people make Warhammer figures and the like out of.

I mean, the fact that PLA's chain is vulnerable to scission by water is in a way nice - not just from a compostability perspective, but from a health perspective too. I don't mind sanding PLA, for example, because PLA microplastics aren't going to build up in your body the way that, say, PETG or ABS might. At 60C, PLA microparticles decompose fully in just 10h. It's significantly slower at lower temperatures, but still, they don't persist. Also, a lot of people like that it's made out of corn rather than petroleum (personally, I don't care).

But yeah, it's pretty insane to use a PLA part on a plane.

It's pretty counterintuitive for those used to working with macroscopic fibre composites. For example, glass fibre fill adds more strength than CF fibre fill (CF fibre fill adds more stiffness). Because it's not so much about the strength of the fibres themselves, but rather how well the polymer matrix grips the fibres.

an aquantance made one from PLA ... ... WHY?

There's literally no reason you shouldn't at least use PETG. PETG is even *easier* to print, and *cheaper* than PLA. Was this long ago, when PLA still had a stranglehold on the market?