I'll find out in mid January, lol - it's en route on the Ever Acme, with a transfer at Rotterdam.
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.
Just put it in context: Today Russia struck the Pechenihy Reservoir dam in Kharkiv.
Russia launched the war because they thought it would be a quick and easy win, a step towards reestablishing a Russian empire and sphere of influence, because Putin thinks in 19th century terms. Russia is continuing the war, not because it's good for Russia. I'd argue that winning and then having to rebuild and pacify Ukraine would be a catastrophe. Russia is continuing the war because *losing* the war would be catastrophic for the *regime*. It's not that they want to win a smoldering ruin, it's that winning a smoldering ruin is more favorable to them and losing an intact country.
Read my post again. You didn't understand it.
Last I checked Ruby execution was slow compared to Python. That, however, tells you where you shouldn't use it, not *that* you shouldn't use it. And Ruby can easily call C routines (with the usual caveats).
OTOH, in some task spaces, design in Ruby is fast compared to design in Python, and in almost all it's fast compared to design in C. (That said, I generally prefer to design in Python and then re-implement in C++.)
Whether it's serious or not depends on what you're doing. For me it fails only because I require Doxygen compatibility. (Mind you, I would rarely choose to use *only* ruby, but for some things it would be the superior choice.)
OTOH, Ruby is not a low level choice. It's a slightly higher level than Python. And I often design things in Python and then convert them to C++ (with, of course, minor rewrites).
So, "What do you mean by 'serious'?".
Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg
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
The real question is "Will they re-release the roadrunner cartoons?".
Do you really think fiction is a reasonable source of facts?
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?
The trouble with computers is that they do what you tell them, not what you want. -- D. Cohen
