Only for US numbers, I think.

The older models didn’t. Only the newest one does.

93.2% macro-F1 for human vs. AI detection and 68.4% macro-F1 for six-way authorship attribution

This isn’t what I’d call “reliable”.

I’m also not impressed with their methodology, which is heavily based on Gemini.

To generate mirrored AI stories, we reverse-engineer writing prompts from each human story by prompting Gemini 2.5 Flash (Gemini Team, 2025a) to infer the underlying premise

That’s too many steps removed from anything you’d encounter in the wild. They’re not even testing against human-prompted output.

And then they use Gemini again to analyze all the stories. Relying on proprietary cloud models for the core of your analysis is like building on sand.

Is this real? Or is it a fake comic making fun of Ben Garrison? It’s hard to tell. I’d expect better even from him, which is saying a lot.

Google Play Rewards sends you surveys and gives you like 10-20¢ per survey. Each one takes like 5 seconds to complete. I haven’t used it in a long time, but years ago most of the surveys were about shopping habits based on my location history, like “did you go to < store> in the past week? Did you pay with your credit card?” Or random things like “have you shopped for auto parts in the past week? Yes/no/prefer not to answer.”

That mugshot of from 2011, probably before he was “declared a Non-Jurisdictional Sovereign Entity under the strict protocols of the Monti Act of God Phenomenon.”

I’m sure it will protect him next time. I mean, it’s irrevocable!

A little white vinegar works well too.

If I can’t play it in MPV, I don’t wanna play it.

Everything else feels like going back to the stone age. No offense to VLC fans. VLC is cool too, and I still recommend it because of its simpler GUI. But MPV is the MVP.

Two main catalysts:

1. Seeing how dumb 99% of products are.

2. Seeing how dumb 99% of users are.

Call my naive, but I truly did not see it coming. I didn’t expect cognitive surrender. I didn’t expect the whole world to start continvoucly morging. I didn’t expect lawyers to submit fake case citations, again and again and again.

I didn’t expect society as a whole to just shrug their shoulders and decide that accuracy doesn’t matter.

I also didn’t expect how much or how rapidly the bubble would inflate. GPU prices were already crazy, but now RAM and even SSD prices have roughly doubled in the past year, with no end in sight, with all production toward data centers. This is a disaster. We’re seeing higher prices for downgraded machines, like Microsoft’s 8GB Surface.

Seeing as we’re all on Lemmy, I hope that I will not need to belabor the point that centralization is bad. The shift toward data centers and away from personal devices is a shift toward centralization. It’s a shift toward greater censorship and away from freedom.

It’s not coincidence that this is happening at the same time as fascism is rising all around the world, that online ID laws are passing all over the world, that privacy-protecting technology like VPNs and end-to-end encryption are under greater and greater attack, and that knowledge repositories like The Internet Archive and Wikipedia are under attack. The shift is toward governmental control of the Internet, of access to knowledge in general.

Now the US government gets the final say on who will have access to ChatGPT 5.6. Surprise, surprise.

I’m not anti-AI or anti-LLM per se. I am anti-corruption and anti-bullshit. I am pro-consumer, pro-privacy, pro-individuality. In practice, that means I am anti-AI. Or more generally (but less strongly), I am anti-cloud.

As for what I would do: well the real solutions are the same as the solutions to most of modern society’s problems. We need extensive economic reform. But barring that, we need to do whatever we can to shift the balance back toward personal, private computation. We don’t need more datacenters. We don’t need trillion-parameter models at all. The only thing they are good at is basic stuff you don’t need them for (unless you’re an idiot), and generating well-masked bullshit.

Edit: Oh, and I would also hold all the corporations accountable for their obviously-illegal behavior, like pirating all the copyrighted material in the world. We definitely need more transparency in terms of training data.

My experience, also in the US, has been the opposite: I get prescribed addictive painkillers “just in case”.

Last time I had surgery, they told me to take ibuprofen for pain, and they also gave me a prescription for vicodin if the pain was too great. I live in an area with a significant opioid abuse problem, and they’re handing it out like candy. They didn’t tell me “call back if it’s severe” or anything like that, they just gave me the prescription. I stuck with the ibuprofen, and realistically I could have done without even that.

I suspect your experience is largely due to sexism. I’ve heard so many stories like this, where doctors don’t even think of taking women seriously.

What I’m gathering is that “wave” can refer to a behavioral pattern that is substrate independent — it refers to a logical function more than it does an ontological presence

I think that’s a good way of putting it.

As for what counts as a “substrate”, I have no idea! In the old days, the idea of a substance that permeated seemingly-empty space was common. See: https://en.wikipedia.org/wiki/Aether_theories

Nowadays, the idea of aether has been discarded for the most part. But that said, there’s still plenty we don’t understand, like dark matter. There’s no consensus on what dark matter is exactly; there are many competing theories. What we know is that there are observable phenomena that can’t be explained without something that acts (roughly, at least) like matter in terms of its effect on gravity, but doesn’t interact with electromagnetism like normal matter. That “something” is called dark matter, but its fundamental nature is an open question.

Now we’re getting into linguistics with the question of “what is a wave?”

In quantum physics, basically everything is waves, in the sense that the same mathematical formulae used to describe waves are used to describe quantum phenomena. The intuitive human-scale dynamics of waves don’t necessarily apply though.

For example, sound waves can’t propagate through a vacuum, but light waves can. Aside from that, they follow mostly the same rules. You can use the same math the describe interference of sound waves and light waves, for example.

People talk about the “particle/wave duality” of photons because in some ways they behave like waves and in some ways they behave like particles. But both of those words are stretched a little from their everyday plain-english usage, and the precise reality would require years of study to understand.

Plain English wasn’t made to be that precise or objective. That’s why we use math. :)

I’m no expert in quantum physics so take this all with a grain of salt.

It’s still an open question where the eventual sweet spot will be in terms of model size and speed once the dust settles.

Nobody has the hardware to run frontier models in their personal devices. Even the larger open models are out of reach unless you’re ready to spend $10-20k on hardware. You can’t do shit on 8GB of memory.

That said, I don’t think there’s any great use case for trillion-parameter models in the long term. You can get good results for cheap from much smaller models with smarter workflows, and eventually that will become as easy and accessible as using cloud products. The big players have done well staying 6-12 months ahead, but that’s really not a lot in the grand scheme and they can’t keep it up indefinitely.

Their only play is regulatory capture and they’re pushing hard for it.

With a million tokens you can get it to rewrite the script to remove this guardrail. OMG we’ve reached the singularity!!

As others have said: they’re nasty. There are a myriad of health risks associated with roaches in your home. They definitely do us harm, albeit not as directly or obviously as, say, ticks or mosquitoes.

I consider my fear of roaches to be entirely rational. They directly carry diseases, and they produce allergens. They exacerbate or even cause Asthma. Also, it’s never good to have decaying corpses of any type inside your walls, which is where they will end up if you have an infestation.

They will eat anything. They will go anywhere. They will thrive anywhere. I’ve seen wallpaper come right off the wall because roaches ate all the goddamn glue. You cannot get rid of them without a whole lot of poison (if even), which is itself a health risk. If I see a roach, I go to DEFCON 2. (DEFCON 1 is reserved for bedbugs.)

That’s bad enough, but it can get so much worse. That can lead to an emergency room visit and permanent ear damage. It’s so fucking nasty that I won’t go into details, but a quick web search will tell you more if you have a strong stomach.

The coolest, and often most confusing thing about computer science, information theory, and perhaps reality in general, is how everything becomes more or less equivalent if you boil it down and twist it around a little.

Everything is sorting. Everything is compression. Everything is geometry. Everything is language. Everything is music. Everything is, like, waves, man. *puff*

Or more accurately, everything can be expressed in any of those other things’ terms.

These are not new ideas, but computers have made them provably and demonstrably true in many contexts, and I think that’s super cool.

I think this is the real answer, rather than the other comment about users being monetized. There are plenty of affordable Android phones with decent specs that have no spyware besides Google’s, and Google’s not subsidizing them.

There are also still dumbphones on the market for under $100. I don’t see Android app support as that big a selling point with these specs.

Good luck to them, but I don’t think this is a viable niche.

MediaTek Helio G81 SoC, with 4GB/64GB

Uhhh. For $500? Sorry, no.