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Comment Re: Huh? (Score 1) 141

He's just being a typical American MORE BIGGER FASTER tool. I drive an 08 Versa with a 1.8l with 122hp and I have absolutely no problem being one of the fastest people on the road, because even a slow ass car by modern standards can do all the things. I never have trouble getting up to speed on a ramp or whatever.

Comment Re:Way too early, way too primitive (Score 1) 52

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.

Comment Re:And if we keep up with that AI bullshit we (Score 1) 52

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.

Comment Re:Sure (Score 2) 52

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.

Comment I hate 3D-printed parts (Score 1) 94

If it's not an original part, then don't use the reference code, it's as simple as that. Otherwise that's counterfeit.
To give more details, I hate it when nowadays you order a part online and you get a 3D-printed piece of shit instead. I've had several bad experiences, one being a wheel for a suitcase, when I put the empty suitcase up, the wheel broke off. Others are 3D-printed plastic to replace a metal bike part; really ?!? Even things like wood knife handle replaced by 3D-printed garbage !
The very structure of 3D-prints make it so there is a weakness in the layering; it'll break at the 1st opportunity.

Comment Samsung always pisses on Samsung (Score 1) 87

Samsung is collection of several companies and if you've ever spent any time working with them you quickly realize that they all prioritize other Samsung companies below other customers. I don't know whether it's because of anti-trust concerns, or market strategy, or just rivalry, but I've never seen any Samsung company that operated any differently. I worked quite a bit with Samsung Mobile and S.LSI, who are even quite interdependent (though S.LSI depends more on Samsung Mobile than the reverse), and they constantly ignored and even dissed one another.

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