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Comment This is not a good thing (Score 1) 13

Of course, users have no assurance that an LLM is "confessing" to every lie or hallucination. But it will 'fess up often enough to foster habitual and reflexive trust. That misplaced trust is already a big problem for society, and having more of it is a very bad idea.

I predict that increased trust will make users even less critical of AI than they are of social media content. AI will become a bigger, more effective propaganda generator. It will be used to shape public opinion, convincing citizens to vote against their own best interests.

Comment Re:Way too early, way too primitive (Score 1) 33

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) 33

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) 33

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:bit of irony (Score 3, Insightful) 61

The golden age was arguably when Netflix had the streaming monopoly and everyone licensed their stuff to them, which ended long, long ago.

Only because cable was still competition.

These days, if you believe Netflix wouldn't be just another cable company when they're the only streaming game in town, I've got a bridge to sell you.

They're still the market movers - ever notice Netflix jacks up their price, then all the other streaming services follow? Or how Netflix stops password sharing, then the others follow?

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