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Comment Re:Good for her! (Score 1) 97

Then everyone will start using it as an excuse to attack other people. Especially the cops - they hate being filmed. They will claim it was "aggressive" and justified violence.

A guy called Graham Linehan was just convicted of smashing a girl's phone, when she filled an interaction where she asked him why he called her a "groomer" on twitter, and worse. It was the right judgement, he had no need to do it, and mere annoyance can't be enough or everyone will be smashing stuff they dislike.

Comment Re:Way too early, way too primitive (Score 1) 58

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) 58

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 4, Informative) 58

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 Re:I must be getting old. (Score 1) 122

Am I the only person on the planet who still opens the garage door with, you know, my hands? Is that completely crazy? Am *I* crazy?

Around my neighborhood almost no one parks in the garage (they park in their driveway, or the street). The garage is where you store stuff (and you rarely open the garage door).

I thought the garage was where people put their guest bedroom. :-)

Comment Re: He's a cosmonaut, not an astronaut, dude. (Score 1) 71

That was the only pad Russia had which has the infrastructure necessary to launch humans into space

Not entirely correct. It is the only *active* pad with that infrastructure. There are decommissioned pads that have been used for manned missions in the past. What state they are currently in is an unknown, but it has been speculated that equipment could be salvaged from them to repair the damaged pad.

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