The complaining is rote at this point in the stages of grieving: "that's was never considered 'intelligence' anyways!' The thing we now care (and always did) care about is whatever AI is currently NOT doing because we have souls, just not quite all those dummies at Church used to say!!"

How do you see the future of gaming? Interacting with AI agents with per-programmed personalities and responses to everything? Pick you dialog from a list of 4 choices still? It's not going to be like that any more.

Depends entirely on the numbers and whether those resources are scarce in that place. If the datacenter ends up funding the expansions, and then the community make a profit every month forerever on supplying those utilities, it's a win.

Yes, because users understand those kinds of choices.

Too soon!

"Past performance is no guarantee of future returns" applies to any recorded dataset.

Not to recorded datasets, particularly. For example, that's the reason to think the sun will rise tomorrow morning - it always has.

There's no reason why Python (compiled from Rust) would be any slower than Python (compiled from C). Both languages compile to native executable code, and both have good optimizers available.

When I think about AM radio now, I think about how Alex Jones was successfully sued for $99 bazillion for saying AM radio stuff. Where I grew up, Rush was always to be found on a channel or two.

Depends on "your idea" - was it exclusively yours, does it even constitute an "idea" by that point? I took a tour of Motorola and made a pre-service-launch phone call on Iridium in 1998. SatComms hasn't been an "idea" for many decades, it's a big area that advances with thousands of new ideas every year.

Any reason to disbelieve it or the benefits? Or just emotionally-centered anti-AI-sentiment?

Well if people are successfully blocking data center construction, their objections are a 'factual' problem for big tech. But people are just going to switch to complaining about blocking out the stars.

https://scholar.google.com/sch... Cited by 260,963 Wow

In LLMs you usually use a parameter-specific learning rate algorithm (e.g. ADAM/W) that uses momentum (gradient history). https://dev.to/shrsv/adam-and-...

That's the point, it's getting hard to find specific thinking tasks / games at which AI doesn't dominate people. Now there is one fewer known example.

There's nothing wrong with knowing your own limitations and acting accordingly. Had Mr. Zuckerberg had that sort of self-knowledge, he might have avoided lighting 80-billion-with-a-b dollars on fire and renaming his social media company after a technology that nobody wanted.

That is true, but it's a little more complicated than that.

The average driver is pretty good, 99.9% of the time. The other 0.1% of the time, they are tired, or angry, or momentarily distracted, or just looking the other direction from where they need to be looking under those particular circumstances. It's those occasional blips of inattention that cause lead to most accidents occurring.