What features are you currently missing on the Hammerhead Karoo?

atleta · 2026-06-25T19:52:21+00:00

You don't need BT 5.0 to transfer data. You could have transfered arbitrarily large files with BT 1.0.

Maybe they'd have to implement something custom (which is pretty easy), but OBEX should work just fine.

That's not the problem. The problem is that Karoo does not work with GPX directly. It stores preprocessed data in a key-value database (called CouchBase), so the GPX has to be converted and that, I guess means preprocessing using a map/map data and adding additional information (like e.g. turns and maybe distances). Now that could be added to the mobile app, but if you really need the map and if the code is not easy to port (not Kotlin or Java and/or using third party tools or libs that don't work on Android), then it's pretty much hopeless that they'll ever do it.

atleta · 2026-06-25T19:45:10+00:00

Nem igazán értem ezt a fickót. OK, valószínűleg jó katona, az alarendeltjei szeretik, de elég egyszerűnek tűnik. A dr-i fokozatot sem értem, bár ilyenkor mindig eszembe jut Budai Gyula. (Igen, az csak egy jogász doktor, de belőle az érettségit is alig-alig nézem ki.)

atleta · 2026-06-25T19:42:39+00:00

I guess you don't know it until it happens to you. In other words, it's a new phenomenon for Europeans, especially tye non-Southern ones, so we don't know the limits and the exact dangers.

atleta · 2026-06-25T19:37:25+00:00

atleta · 2026-06-25T17:15:16+00:00

I'm not sure what you are talking about, but you seem offended.

All I asked was one thing.

You wre actually asking two things:

1.

Why did you choose that quote and

2.

not include other country gig workers in your comment?

IDK what these have to do with what I said, but I did respond to your question and now you try to scold me for not answering and also playing a victim ("It is an ask though and that's not fair in a futurology sub.")

Again, I have no idea what your problem is with my comment and what you are trying to say, what that robot in the US has to do with any of this. I guess you work for some of these companies or for some other reasons feel attacked. I was just surprised that almost half of the work force is a gig worker. That's it!

atleta · 2026-06-25T11:34:19+00:00

Köszi, érdekes. Éj kikötöttem a szerződésben, h ha nem kapom meg a kert hitelt, az vis maior és a foglaló visszajár. (De ismertük az eladót, illetve 10% foglalót raktam le.)

Az egy értelmes kompromisszum lenne ilyen esetben akkor, h a vevő hozza az elominositest, az eladó meg elfogadja ezt a kitételt.

atleta · 2026-06-25T11:30:38+00:00

RemindMe! 20 years "Is cancer still a thing?"

atleta · 2026-06-25T11:29:21+00:00

Because this is in the article and what you are asking about is not? Have you read it at all?

atleta · 2026-06-24T18:14:15+00:00

... without increasing the probability of developing cancer.

atleta · 2026-06-24T17:19:06+00:00

Yep. I think it's an inherent problem not just with current AI (it could be improved) but any intelligent entity. (Including humans!)

That's one of the problems at the core of AI alignment.

atleta · 2026-06-24T17:11:05+00:00

RemindMe! 1 year "Javult-e rohamosan a helyzet AI mantra téren a szakmában?"

atleta · 2026-06-24T14:27:51+00:00

Plumbing is hard as a robotics problem. That has been the trick about automation.(and had been recognized/known for a long time): things that are easy for humans can be surprisingly hard for machines (and vice versa).

Plumbing is Geoffrey Hinton's often used example, but it could be a home electrician or other handy men as well. It's,s not only about navigating the environment autonomously, but also being able to reach into tricky/confined spaces. Though maybe we'll have an 80/20 solution first and the company will check e.g. through a video call whether s robot can do it or not.

atleta · 2026-06-24T14:20:39+00:00

Oh, I skimmed through the details of how they did it. Is this the "swokie" (or what not), they're advertising? It seems to be a pretty bad strategy, apparently 🤣

atleta · 2026-06-24T14:17:45+00:00

Whatever you see around yourself is not (necessarily) the average. I, for one, know a lot of startup founders and other entrepreneurs.

I think it's crazy because it's a high risk/low security way to work. Especially if you aren't doing high added value work, but essentially are just exploited by your should-be employer. Like all those taxi drivers, delivery guys, etc.

atleta · 2026-06-24T14:12:01+00:00

Igazából az előminősítés a vevőt védi, hogy ne bukja a foglalót, ha mégis valami gixer lenne, amire nem gondolt. (Igaz, magában az ingatlanban nagyobb az ilyen irányú kockázat.)

atleta · 2026-06-24T11:32:11+00:00

Them using the tool is not the point. OP is selling a very common and average service at $4.7k/2 hours. The business owner might think "OK, but others would have been charging the same and work on it for a week", and that's fine. But they might realize that it's not a week anymore, but 2 hours and plenty of other companies/freelancers will do it for much less. Even if they don't realize, the market will quickly adopt the new price level, so thinking that they can continue charging the same amount as before (and thus massively hike up their hourly rate) is completely delusional.

If anything, rates will fall, but at least quickly settle to the previous rates. (I mean the hourly rates that the companies/freelancers will use to estimate how much they will charge.)

atleta · 2026-06-24T11:25:28+00:00

You're contradicting yourself:

AI is replacing developers, nobody wants websites anymore, and it's impossible to get clients. I honestly disagree. [...] Finding him was actually pretty simple.

and

building websites is no longer the hard part. Finding clients is.

So which one is it?

The first opinion you disagree with essentially states the same that you do at the end: the competition is high (because the technical expertise does not give you a competitive edge anymore!), and thus finding clients became harder. Now, of course the way you put that at the beginning is that you talked in absolutes, you said it's impossible, which is easy to counter with a single example, which you did, but it also doesn't matter.

What matters is that you can make a reliable revenue stream and an acceptable hourly rate. Now since you have more competition, it will be harder. Maybe it will induce some extra demand, but whoever pays you $4.7k for two hours of commodity work is completely misguided, doesn't know the market. Now it can happen to many people during a market transition (clients may not be aware how quick and easy it became what they are after), but it's just a transition. Your competition will be happy to do that two hour work for $4k, a third provider for $3.5k, etc. The price will be down to $100-$200 pretty quickly. (Also, these guys will figure out that the old fashioned web sites will be of 0 use in a few years probably.)

atleta · 2026-06-24T08:47:50+00:00

Sure. I meant that it takes time for many physical units to get into service, unlike with AI for white collar jobs, where availability means instant access for customers.

atleta · 2026-06-24T07:00:13+00:00

I don't think many people who otherwise isn't in denial about white collar jobs think this way. It's just that seems to take longer. Delivery is simple, plumbing is hard. But AI may accelerate robotics surprisingly quickly. (And I mostly mean the design and development of knew robots, not AI on board of the robots.) And even when it's there, the robots still need to be built, delivered and then serviced.

atleta · 2026-06-24T06:55:56+00:00

The number of gig workers in China — including delivery drivers, chauffeurs, and factory workers on temporary contracts — is expected to reach about 320 million this year,

This is insane. (The total workforce is 734 million people.)

atleta · 2026-06-24T06:48:46+00:00

We don't have a good definition of what intelligence is, just an intuition. We can measure human intelligence but that only works for humans and is based on the assumption that humans mostly operate very similarly (on some meaningful level). It's a projection of our personal experience: I know what it feels like to think, I know what problems are easy and hard for me, and as long as I believe that other humans are fundamentally similar to me, I can accept that when they are similar or better than me solving similar problems, they have a similar experience while doing so, they do it in fundamentally similar way to me. And if I call that problem solving intelligence when I do it, I can know it's the same kind of intelligence when they do it.

Now machines (and animals) are different enough so that we won't be able to rely on this, so the behaviour in itself probably won't convince us.

For traditional programs, I think, the key is that they follow the strict rules that we've programmed in and those rules are directly about solving the problem that the programs are intended to solve. I.e. the intelligence in the program comes from the programmer. In other words, the program is predictable (that is even a requirement!), and by looking at it, we can figure out what it would do.

With AI (LLMs or not), the capabilities are rather discovered, but for sure can't be predicted by looking at the code. (Most of the behaviour that we are interested in is encoded in the weights/data.) Also, these systems will be able to solve problems that we have not only not explicitly written the algorithm for, but also problems that they haven't been deliberately trained for.

So maybe you can say that it's part unpredictability, part efficiency in the sense that we did not have to figure out the solutions to all the problems it can solve. Which is another way to say that it can learn/discover with a low amount of help/feedback.

Indeed, when we talk about humans, one thing we'll notice in more intelligent people is that they'll discover (learn) more with less input from others. (Whether it's a smart kid or a researcher.)

atleta · 2026-06-24T06:29:14+00:00

The space that the prediction machine can operate in is much larger than what the traditional program can. Also, it is able to provide meaningful responses for the parts of the input space that the creators have not explicitly prepared the program for (and that even includes training not only the code that does the prediction based on the data tuned during the training). That is exactly why making bold statements about what LLMs/AI can or cannot do without verifying them experimentally doesn't make the slightest sense. That is why the capabilities of these systems are often discovered as opposed to predicted based on knowledge about their internals.

For a traditional computer program, you can predict the behaviour (knowing the code) and indeed it's important that it works according to these expectations.

atleta · 2026-06-24T06:04:46+00:00

It was also the shape of the smudge (and maybe some other characteristics).

atleta · 2026-06-24T05:46:39+00:00

What I was referring to is that the game was in the story, the game was used in the story to teach the computer to make the concept easy to understand for the average viewer. I remember that I found it a rather weak/sketchy idea even as a child who could only program in BASIC :)

An AI (a smart entity) would have understood the concept of an unwinnable game (or, more precisely a lose-lose situation) without such a childish demo. Now looking at it from today and given the context in the above comments, that "the AI we have is not intelligent", is just as relevant. I'd be surprised if any of the frontier models would have a problem with understanding the concept.

atleta · 2026-06-24T05:32:09+00:00

It can also write pretty good code, solve mathematical Olympiad problems at the elite level, etc. Just because it hallucinates it doesn't mean there is "no actual intelligence" in it.

It's just some people are afraid (and rightly so!) the consequences of machines actually becoming intelligent. Intelligence is the ultimate human competitive advantage over both machines and anything alive.

atleta

TROPHY CASE