setsubyou

a machine is a robot when it makes us sit with uncomfortable truths about ourselves

By this definition, both my washing machine and my dish washer are robots, and so is my bathroom scale

He just picked the wrong one. There’s probably quite a few illegal Mexicans who’d do a better job than Hegseth.

That site however makes them look really harmless. I thought it would be more. 198 in four years for a technology with wide adoption (>40% in the USA for ChatGPT alone) is not much. That’s comparable in magnitude to deaths from portable generators or from riding lawnmowers (~70 per year in the USA for both). A far cry from actual deadly technology like cars or firearms (~40k-50k per year in the USA for both).

As a developer I routinely compile projects that Apple has never seen and run them on my iOS devices. It’s not locked down in the sense that it’s impossible, but that the barrier is too high for normal users (who also don’t have a developer program membership).

Im Europe we have alternative app stores on iOS too.

But at the end of the day, even as a technically adept person, I don’t care that much about what my phone can do beyond the actual phone things, and just want it to be a reasonable smartphone that doesn’t need me to be technically adept just to be useable.

If we’re talking about AI performance the software is there, and models often get ported to MLX.

With this definition, it’s not different from before. Pretty much any smartwatch or smartphone or noise cancelling earbuds record by this definition. The new thing is the automatic summaries. But for example, all modern Apple devices can listen for Hey Siri constantly, and other brands have something similar. Noise cancelling earbuds record and process the noise they’re cancelling (and Apple’s can listen for Hey Siri). Laptops do it too.

Look, if you want to cast one vote then Russian hardware can handle it just fine, but if you have to cast thousands, that needs something faster.

I think the plateau might not necessarily be in terms of LLM capability, and we might even see LLM based tools keep improving at a high rate in the fields where they currently work well, but still have a plateau where we can’t expand their use to other fields.

There’s a very large gap between how well LLM based coding assistants work, and how well LLM based tools work in areas where we can’t easily create a harness that can do dozens or hundreds of LLM turns between human interactions via tool use. As a result, LLMs are much less useful at tasks where there is no agent loop that can drive iterative changes and automatic verification until the final result is much better than a one-shot generation would have produced. If we can’t come up with a way to make these agent loops for more tasks then AI will plateau even if LLMs keep improving.

Now, I think people who use coding assistants a lot and also don’t interact much with other humans who don’t might easily arrive at a conclusion like that AI running everything is inevitable. I can see this with myself too, a lot of what I do I can get Claude Code to do. Not just work stuff like actual coding or running kubernetes clusters or debugging IT problems. Also many of the random things I do at home that are not strictly coding, e.g. I’ve had Claude design 3D printed tools, or electronics circuits, entire concepts for physical toys for me to build if I get around to it. But there is a key observation to make here that keeps me from valuing its abilities too highly: I’ve been programming since I was a little kid, for almost 40 years now, and my work and my hobbies all are coding or coding-adjacent, exactly the kind of thing agent loops make good.

One look at even just my wife’s typical day though and there’s almost no AI involved. And when it is it’s ChatGPT hallucinating nonsense when she tries to get it to research something for work etc., that or other things where there is no harness that can auto-correct errors. So I don’t have a very high opinion of AI tools for general purpose tasks right now even though I, on an almost daily basis, see Claude pull something off that I had no hopes for it to get right and that would have taken me half of an eternity to do it myself.

But if my environment was mostly developers/engineers/nerds similar to me then I would have a much higher opinion of AI. I’d be hearing about impressive things an AI tool did constantly. I believe these kinds of environments are where most of the hype comes from, and there is no control, because people who don’t have AI tools for their tasks that work as well as modern coding tools mostly aren’t even aware of the conversation and certainly not too interested in participating.

One of the easiest ways to do it is not following the train at all, but riding a bit ahead where there’s a building next to the track you can get on top of, wait for the train to catch up, jump on it, and then just shoot the three guys normally.

The comment I replied to said it was different from recording audio because when recording, they can tell it when to record instead of listening all the time, so that’s the only part I’m arguing with.

In this regard nothing changed:

• You can still tell it when to record, because you can turn the feature off
• If you didn’t turn off other Siri features before, it was already listening all the time

I feel like half this thread doesn’t understand what their devices are doing. Latching on to a new way in which it can record all the time, while dismissing all the existing ways it can already record all the time. How are you going to protect yourself from anything if you can only recognize this when there’s something like a transcript that you can see that makes it super obvious? Most people here are probably already carrying two or three devices around that can record them but just don’t produce a transcript.

That’s not new though, it also listens for Hey Siri all the time like all modern Apple devices have been doing for years. You can also still turn it off if it’s your own watch.

It’s a matter of framing. If you compare them to older datacenters they are atrocious because they’re bigger and consume more energy. But in the grand scheme of things all things IT pale in comparison to e.g. producing beef. Now with that framing you can’t sell AI hate though because people like beef, so it’s always just comparing large datacenters to smaller datacenters with the obvious results.

People don’t really understand this yet. There are LLMs that can do useful work running locally on 5 year old laptops (ok, only if it’s a Macbook Pro, but still). Qwen on consumer hardware isn’t close to Claude Code using cloud models, but it can do real work and this is the floor, the absolute minimum of AI we will have going forward. No matter what happens to the industry and the bubble, it will not go away. With any other outcome other than a total collapse of the bubble, AI will be more powerful than that.

For some reason he likes replacing these Native American based names with one of Italian origin.

It says the x-rays that were taken because of the pneumonia were important documentation for the toe count. Maybe not everything is easily externally visible so they wouldn’t have known without the pneumonia?

I thought the (former) VP in charge of it left for OpenAI not long ago.

Prayer doesn’t do anything to solve the problem but it keeps them occupied and off the streets which might place it above the administration

There also were more than two PC platforms (and we barely have two now; Apple was pretty close to going away too). I miss being the Atari ST guy in a circle of people who all had different types of computers. It didn’t last very long but it was way more fun.

Yeah on mobile I think it’s okay. Still a bit overloaded but a far cry from what Japanese web pages can be like on desktop browsers. Sometimes they’re like web design stopped in 1999 and since then all they did was add more blinky banners around the actual content.

That’s fine. All I’m saying is that the article claims that their stance is an eight year old can waive rights, while also claiming indirectly that the mother waived the rights too. Because it says that she placed parental controls on the account, which in the case of Roblox means she made an account for herself and agreed to the same terms.

I have no idea whether the terms are enforceable or not. I’m only commenting on the article sensationalizing by making it look like the company says the 8 year old agreeing to their terms is enough.

Although maybe one thing to add could be that the child could not have gotten access to chat either without the mother enabling it for her. The article makes it sound like children are immediately exposed to all sorts of things on Roblox but the reality is unverified accounts are heavily restricted, and for a child, the restrictions have to be disabled by a parent.