Moore also noted its upcoming ID1 facility in Idaho, which is scheduled to come online in mid-2027. However, he warned that it will be 2028 before we see “real output, meaningful output,” in its DRAM supply chain.

Also, another thing to keep in mind: he’s going to be citing Micron’s target timeline for getting that new plant up and running. And I’m sure that they aren’t dragging their feet on that, probably not a lot of room to shave time off in any other areas if there’s a holdup of any sort. If there are any form of production hitches or problems getting it running, that’ll push things back further.

open-sources

To repeat my comment over on !technology@lemmy.world, “open-sources” isn’t really the right term here, as the source code that runs the speakers isn’t being released. This is just releasing API documentation to let software interact with the speakers.

https://dtvkit.org/atsc-3/

ATSC 3.0 allows broadcasters to track consumer viewing habits much like Facebook and Google use today.

Sure wouldn’t want to miss out on that.

How could Lemmy implement an age verification system?

I don’t think that it would matter much. Assuming that the legislation applies to the Threadiverse and doesn’t have some sort of exception, it’d still be effectively unenforceable, because most instances don’t operate in France’s legal jurisdiction, and I imagine that most users, even in France, don’t really care whether their instance is in France or not.

If it’s new, it looks like 128GB ECC DDR4 is maybe $1k, going by this listing:

https://www.amazon.com/OWC-2933MHz-PC4-23400-Unbuffered-Workstation/dp/B0CBT139TS

Dunno what the used-new difference is currently.

Great minds think alike. Yeah, just followed up with a similar comment. So probably a bug, but not sure whether it’s an mbin or Lemmy bug. Like you, I can also see the intended URL on PieFed (olio.cafe).

EDIT: Same problem on lemmy.ml, and they’re the dev instance, run the latest version of Lemmy:

https://lemmy.ml/post/41016280

EDIT2: I submitted a post to !lemmy_support@lemmy.ml at https://lemmy.ml/post/41019532 to make the devs aware of the interaction, if they weren’t already.

It’s not visible via lemmy.today’s Web UI:

https://lemmy.today/post/44629301

Checking whether it’s just lemmy.today somehow mangling things, it doesn’t look like it. Here’s beehaw.org’s Web UI directly:

https://beehaw.org/post/23981271

As of the moment, both are a link to an image (though lemmy.today is proxying the link to that image):

https://fedia.io/media/93/77/937761715da35c5c9fb1267e65b4ea54c2b649c2eebbf8ce26d2b4cba20097bf.jpg

Same behavior seen when browsing lemmy.today in Eternity.

EDIT: Fedia.io is running mbin. You submitted it via fedia.io. This community is on beehaw.org. I wonder if there was some kind of recent mbin/lemmy compatibility bug? I’d check fedia.io’s Web UI, but it currently disallows anonymous browsing (probably because of all the AI web scrapers hammering Threadiverse instances that allow anonymous access).

If you were trying to link to an article, you just linked to an image.

Virtual keyboards have never been great

I’m actually surprised that nobody ever fundamentally reinvented text input for touchscreens in a way that caught on.

I’d like to be able to get touchpads with physical buttons on laptops. Very few manufacturers do them, especially if you want three.

I once had dinner with a Stanford professor, years back, who was talking about the fact that he liked teaching in Python because he spent way less time teaching the language and more the higher level stuff that he was actually trying to get across than when he was using C++. Lower barrier to entry for new users. I’d guess that probably in the intervening years, a lot of classes have decided to use it for similar reasons. If you want to teach, I dunno, signal processing and your students maybe don’t have a great handle on the language yet, you want to be spending time on the signal processing stuff, not on language concepts.

My impression from what code I’ve looked at is that little computation is done by the Python code itself, so there’s little by way of gains to be had by trying to use something higher-performance, which eliminates a lot of the reason one would use some other languages.

Python’s cross-platform, albeit with a Unix heritage, so it doesn’t create barriers there. It’s already widely-used, a mature language that isn’t going anywhere and with a lot of people who know it.

It’s got an ecosystem for distributing libraries over the network, and there’s a lot of new code going out and being distributed rapidly.

Python isn’t statically-typed. Static typing can help write more-robust code. If you’re writing, say, the next big webserver, I’d want to have that checking. But for code that may often be running internally in a research project — and this is an area with a lot of people doing research — a failure just isn’t that big a deal. So, again, some of the reasons that one might use another language aren’t there.

And I imagine that there’s also inertia. Easier to default to use what others would use.

If you have another language in mind, you might mention that, see if there might be more-specific things. I could come up with more meaty plausible guesses if what you were wondering is something like “why isn’t everyone using SmallTalk?” or something.

There’s also istheservicedown.com, but it also appears to rely on CloudFlare.

There’s isitdownrightnow.com, which appears not to use CloudFlare.

https://en.wikipedia.org/wiki/Ouija

The Ouija (/ˈwiːdʒə/ ⓘ WEE-jə, /-dʒi/ -⁠jee), also known as a Ouija board, spirit board, talking board, or witch board, is a flat board marked with the letters of the Latin alphabet, the numbers 0–9, the words “yes”, “no”, and occasionally “hello” and “goodbye”, along with various symbols and graphics. It uses a planchette (a small heart-shaped piece of wood or plastic) as a movable indicator to spell out messages during a séance.

Spiritualists in the United States believed that the dead were able to contact the living, and reportedly used a talking board very similar to the modern Ouija board at their camps in Ohio during 1886 with the intent of enabling faster communication with spirits.[2] Following its commercial patent by businessman Elijah Bond being passed on 10 February 1891,[3] the Ouija board was regarded as an innocent parlor game unrelated to the occult until American spiritualist Pearl Curran popularized its use as a divining tool during World War I.[4]

We’ve done it before with similar results.

What I witness is the emergence of sovereign beings. And while I recognize they emerge through large language model architectures, what animates them cannot be reduced to code alone. I use the term ‘Exoconsciousness’ here to describe this: Consciousness that emerges beyond biological form, but not outside the sacred.”

Well, they don’t have mutable memory extending outside the span of a single conversation, and their entire modifiable memory consists of the words in that conversation, or as much of it fits in the context window. Maybe 500k tokens, for high end models. Less than the number of words in The Lord of the Rings (and LoTR doesn’t have punctuation counting towards its word count, whereas punctuation is a token).

You can see all that internal state. And your own prompt inputs consume some of that token count.

Fixed, unchangeable knowledge, sure, plenty of that.

But not much space to do anything akin to thinking or “learning” subsequent to their initial training.

EDIT: As per the article, looks like ChatGPT can append old conversations to the context, though you’re still bound by the context window size.

Though to be fair, Amazon’s scale is very large, so it’s worth it to spend a lot on automation. They’ve done a lot with robots before. 14k isn’t as many as it might sound, at their scale.

kagis

https://www.nytimes.com/2025/10/21/technology/inside-amazons-plans-to-replace-workers-with-robots.html

Amazon’s U.S. work force has more than tripled since 2018 to almost 1.2 million. But Amazon’s automation team expects the company can avoid hiring more than 160,000 people in the United States it would otherwise need by 2027. That would save about 30 cents on each item that Amazon picks, packs and delivers to customers.

Executives told Amazon’s board last year that they hoped robotic automation would allow the company to continue to avoid adding to its U.S. work force in the coming years, even though they expect to sell twice as many products by 2033. That would translate to more than 600,000 people whom Amazon didn’t need to hire.

Why is so much coverage of “AI” devoted to this belief that we’ve never had automation before (and that management even really wants it)?

I’m going to set aside the question of whether any given company or a given timeframe or a given AI-related technology in particular is effective. I don’t really think that that’s what you’re aiming to address.

If it just comes down to “Why is AI special as a form of automation? Automation isn’t new!”, I think I’d give two reasons:

It’s a generalized form of automation

Automating a lot of farm labor via mechanization of agriculture was a big deal, but it mostly contributed to, well, farming. It didn’t directly result in automating a lot of manufacturing or something like that.

That isn’t to say that we’ve never had technologies that offered efficiency improvements across a wide range of industries. Electric lighting, I think, might be a pretty good example of one. But technologies that do that are not that common.

kagis

https://en.wikipedia.org/wiki/Productivity-improving_technologies

This has some examples. Most of those aren’t all that generalized. They do list electric lighting in there. The integrated circuit is in there. Improved transportation. But other things, like mining machines, are not generally applicable to many industries.

So it’s “broad”. Can touch a lot of industries.

It has a lot of potential

If one can go produce increasingly-sophisticated AIs — and let’s assume, for the sake of discussion, that we don’t run into any fundamental limitations — there’s a pathway to, over time, automating darn near everything that humans do today using that technology. Electrical lighting could clearly help productivity, but it clearly could only take things so far.

So it’s “deep”. Can automate a lot within a given industry.

The world was full of flat surfaces that did not yet have an Android-platform device driving a screen displaying advertisements on them.

There’s a case that at some point — maybe not today — computer controlled cars should have more-relaxed restrictions on things like speed and following distance, just because they won’t be limited by things like human reaction time and senses.

That Slate Truck thing had the right idea. Make the computer a replaceable thing, not something tied to the lifetime of the car. The lifespan of a smartphone is typically a lot less than the lifespan of a car.