Libreoffice is the same junk, different pile. It uses the same junky language.

I have no interest in learning the hack excel equation syntax.

Who could possibly have predicted that something like this could happen?!

45 year old executive with 25 year career in software development. Have never learned Excel, and never will. Give me plain old SQL any day.

Monorail says yes?

Only if NVidia chooses to make such a case. But they won't, because 1) NVidia gets to sell stuff that previously they couldn't, and 2) Huang (like the whole tech sector) is such best buds with the President these days.

What these groups need to do to protect vulnerable people is to make sure we build new powerplants soon. It's so sleazy of them to act like they're trying to protect customers from paying high prices for energy when for decades they basically caused energy prices to get so high by having a problem with basically every possible way of generating energy.

Visa and MC doing business with a sanctioned Russian entity is a much bigger deal.

Correct me if I am wrong, but Visa and Mastercard are obligated to immediately stop doing business with WantToPay as soon as they are informed that they are bypassing US sanctions.. otherwise Visa and MC themselves start to become liable as well.

...and watch the deep pockets of Netflix duke it out against the politically-favored Paramount+Ellisons.

Not that we, the movie-enjoying public, will benefit from either side winning. But it may provide interesting entertainment in the meantime.

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.

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.