I don’t think it’ll be LLMs (which is what a lot of people jump to when you mention “AI”), they have much higher latencies than microseconds. It will be AI of some sort, but probably won’t be considered AI due to the AI effect:

The AI effect is the discounting of the behavior of an artificial intelligence program as not “real” intelligence.

The author Pamela McCorduck writes: “It’s part of the history of the field of artificial intelligence that every time somebody figured out how to make a computer do something—play good checkers, solve simple but relatively informal problems—there was a chorus of critics to say, ‘that’s not thinking’.”

Researcher Rodney Brooks stated: “Every time we figure out a piece of it, it stops being magical; we say, ‘Oh, that’s just a computation.’”

LLMs might be useful for researchers diving down a particular research/experiment rabbit hole.

I don’t have any useful speculation to contribute, but here’s a classic chart showing various funding levels towards that goal:

Here’s a slashdot thread from 2012 where some fusion researchers did an AMA type thing:

https://hardware.slashdot.org/story/12/04/11/0435231/mit-fusion-researchers-answer-your-questions

Here’s also a recent HN thread about achieving more energy than we put in:

https://news.ycombinator.com/item?id=33971377

The crucial bit is this

Their total power draw from the grid was 300 megajoules and they got back about 3 megajoules, so don’t start celebrating yet

That’s still really encouraging, but just a warning that headlines don’t capture the full picture.

The Bitter Lesson talks about speech recognition instead of synthesis, but I would guess that it’s a similar dynamic:

In speech recognition, there was an early competition, sponsored by DARPA, in the 1970s. Entrants included a host of special methods that took advantage of human knowledge—knowledge of words, of phonemes, of the human vocal tract, etc. On the other side were newer methods that were more statistical in nature and did much more computation, based on hidden Markov models (HMMs). Again, the statistical methods won out over the human-knowledge-based methods. This led to a major change in all of natural language processing, gradually over decades, where statistics and computation came to dominate the field. The recent rise of deep learning in speech recognition is the most recent step in this consistent direction. Deep learning methods rely even less on human knowledge, and use even more computation, together with learning on huge training sets, to produce dramatically better speech recognition systems. As in the games, researchers always tried to make systems that worked the way the researchers thought their own minds worked—they tried to put that knowledge in their systems—but it proved ultimately counterproductive, and a colossal waste of researcher’s time, when, through Moore’s law, massive computation became available and a means was found to put it to good use.

Also posted over in !discuss@discuss.online here, since I was reminded of the essay

I posted about this a bit ago, but that likely wouldn’t work:

In a First, AI Models Analyze Language As Well As a Human Expert

https://discuss.online/post/30279537

Any language you picked or invented would just add to the training data and help the AI out.

Lemmy just released 0.19.14, which addresses this somehow, but the announcement is vague:

https://join-lemmy.org/news/2025-12-08_-_Lemmy_Release_0.19.14

https://discuss.online/post/31855056

Recently some malicious users started to use an exploit where they would post rule violating content and then delete the account. This would prevent admins and mods from viewing the user profile to find other posts, and would also prevent federation of ban actions.

The new release fixes these problems. Thanks to @flamingos-cant for contributing to solve this.

IMO free will is commonly misunderstood. It’s not an absolute property, it’s a relative statement. In other words, something doesn’t “have” free will, the term is merely shorthand for “behavior that can’t be predicted”. To me, a rock doesn’t have free will because I can use relatively simple physics to predict its behavior perfectly. Other humans have much more free will because it’s much harder to predict their behavior. A bug is somewhere in the middle. To a superhuman intelligence (supercomputer, aliens, deity, take your pick), humans don’t have free will, because our behavior can be perfectly predicted.

That squares with my opinion on QM in that even if deterministic interpretations of QM are eventually rigorously ruled out, I would still be of the opinion that if we could poke through the underlying substrate and query an intelligence there, our behavior would be perfectly predictable. Much like a video game character discovering the math behind the RNG that controls their universe. So they’re kind of orthogonal concepts, but somewhat related.

100%, I avoid using plastics as much as possible around anything that I ingest that involved heat somewhere in the production process. Not entirely possible, but I do what I can.

The universe is deterministic. Quantum Mechanics doesn’t really disagree with this, it’s just not as popular an interpretation as the other ones. Even if deterministic QM interpretations eventually end up being ruled out rigorously, maybe we could someday “poke through” to the underlying substrate, like a video game character figuring out the seed for the RNG that determines their universe.

Sounds like a bubble, which isn’t a bad thing but not very common in the US IME. I haven’t looked at housing prices in that area, but I’m guessing they would be obscenely expensive for most people. Even where real estate is much cheaper than that, I’ve only really known a few people that have done that sort of thing and they’re all well-off.

I’m also going to plug the community we’ve got over at !AskUSA@discuss.online, it’s great for casual US-focused questions like this.

Probably the best traction you’re going to get is in !asklemmy@lemmy.world. There exist more specific communities as listed in the other comments, but they tend to be much smaller, or defunct.

At a slightly lower level, I’m excited about Servo. Activity died off for a bit but it’s gaining steam again. Still behind Ladybird progress-wise, but it will make a very strong foundation for a new web browser.

This is probably the best explanation I’ve seen:

http://adit.io/posts/2013-04-17-functors,_applicatives,_and_monads_in_pictures.html

That definitely reads as AI generated. I don’t really get the point of making posts like that if you’re not even going to write them yourself.

Disable user-select: none; (and variants) on body to be able to select text again. I like the idea of a blog post that calls out something annoying and demonstrates the annoyance inline, though

Not sure what type of grass, it was there when we moved in. White clover

My lawn has grass, clover, and violets, with a few other random plants. The violets are great and look nice and don’t really need mowing. The clover and grass eventually require mowing, but not moreso than just pure grass.

If I search for “steam vs epic” I still see the AI-generated summary. It probably depends on when the page was scraped and when Reddit (I assume) started doing this.

This is a good commentary on it:

It’s good to want to improve the world around you, which can be given a label of patriotism. Going too far down that road leads to lots of unhappiness, though.

; and ; respectively, in case anyone wants to see how it renders on their machine and is also lazy.

That’s pretty much https://en.wikipedia.org/wiki/Gemini_(protocol). You can explore it through an HTTP proxy like this: https://portal.mozz.us/