They need to give it to the current marketing team. And save some for me.

making the most with what you have

That was, indeed, the motto of ML research for a long time. Just hacking out more efficient approaches.

It’s people like Altman that introduced the idea of not innovating and just scaling up what you already have. Hence many in the research community know he’s full of it.

Oh and to answer this, specifically, Nvidia has been used in ML research forever. It goes back to 2008 and stuff like the desktop GTX 280/CUDA 1.0. Maybe earlier.

Most “AI accelerators” are basically the same thing these days: overgrown desktop GPUs. They have pixel shaders, ROPs, video encoders and everything, with the one partial exception being the AMD MI300X and beyond (which are missing ROPs).

CPUs were used, too. In fact, Intel made specific server SKUs for giant AI users like Facebook. See: https://www.servethehome.com/facebook-introduces-next-gen-cooper-lake-intel-xeon-platforms/

Machine learning has been a field for years, as others said, yeah, but Wikipedia would be a better expansion of the topic. In a nutshell, it’s largely about predicting outputs based on trained input examples.

It doesn’t have to be text. For example, astronmers use it to find certain kinds of objects in raw data feeds. Object recognition (identifying things in pictures with little bounding boxes) is an old art at this point. Series prediction models are a thing, languagetool uses a tiny model to detect commonly confused words for grammar checking. And yes, image hashing is another, though not entirely machine learning based. IDK what Tineye does in their backend, but there are some more “oldschool” approaches using more traditional programming techniques, generating signatures for images that can be easily compared in a huge database.

You’ve probably run ML models in photo editors, your TV, your phone (voice recognition), desktop video players or something else without even knowing it. They’re tools.

Seperately, image similarity metrics (like lpips or SSIM) that measure the difference between two images as a number (where, say, 1 would be a perfect match and 0 totally unrelated) are common components in machine learning pipelines. These are not usually machine learning based, barring a few execptions like VMAF (which Netflix developed for video).

Text embedding models do the same with text. They are ML models.

LLMs (aka models designed to predict the next ‘word’ in a block of text, one at a time, as we know them) in particular have an interesting history, going back to (If I even remember the name correctly) BERT in Google’s labs. There were also tiny LLMS people did run on personal GPUs before ChatGPT was ever a thing, like the infamous Pygmalion 6B roleplaying bot, a finetune of GPT-J 6B. They were primitive and dumb, but it felt like witchcraft back then (before AI Bros marketers poisoned the well).

Yes, buut forestry industries (at least in the US) are pretty sustainable, from what I’ve seen.

In other words, at least there’s a nugget of truth under the lie.

He is a bishop.

It’s easy to forget how public leaders, especially clergy, used to talk.

…They don’t use it over API?

Yeah and disapprove +11 (aka 54%) is the lowest poll (which I see more as +8 considering the 3% ‘undecided’ block). It’s not even close to congressional or direction disapproval polls, and it’s still around where he was last time as president.

I don’t mean to sound combative, but a slight plurality of disapproval is not gonna cut the mustard.

53% unfavorable is not ‘in the dumpster,’ unfortunately:

https://d3nkl3psvxxpe9.cloudfront.net/documents/econTabReport_haeOEK5.pdf

https://www.economist.com/interactive/trump-approval-tracker

It’s better than his first term, and we re-elected him… If COVID couldn’t penetrate the bubble, I honestly don’t know what will.

It’s not like the sane among us are suddenly going to decide to go along with fascism

Oh you underestimate people’s self interest. If Big Tech continues on it’s trajectory to a kind of Theil-ish cyberpunk dystopia, most people are going to go along. Like, even I have super techy naturalized family that keeps using Google or Facebook stuff. It’s (seemingly) too essential.

We have to shout for him

We can’t.

The people who need to hear it are in another bubble and never will.

TBH I dunno how to fix it anymore. Even ‘revolution’ like many on Lemmy fantasize about will not penetrate, and most people don’t want to understand what propaganda and algos are doing to them.

Coffee Stain’s another good example on the bigger end.

It does seem like there’s a danger zone behind a certain size threshold. It makes me worry for Warhorse (the KCD2 dev), which plans to expand beyond 250.

Funny thing is Teslas already have something more sophisticated. They could pipe the FSD’s diagnostics to a HUD as a more polished, standard ‘overlay’ for the driver, literally run with the car’s own hardware. You’d think Tesla execs would know about that since it’s literally their business, and predates the LLM craze.

…But no.

This is so stupid.

To me, “AI” in a car would be like highlighting pedestrians in a HUD, or alerting you if an unknown person messes with the car, or maybe adjusting mood lighting based on context. Or safety features.

…Not a chatbot.

I’m more “pro” (locally hostable, task specific) machine learning than like 99% of Lemmy, but I find the corporate obsession with cloud instruct textbots bizarre. It would be like every food corp living and breathing succulents. Cacti are neat, but they don’t need to be strapped to every chip bag, every takeout, every pack of forks.

I feel like there’s a “bell curve” for Linux gaming enjoyment.

If you’re even a little techy, like not using your PC begrudgingly and mostly live in iOS or whatever, the switch will feel like a relief. But many PC users aren’t; they arent interested in what a OS or file system is, they just want League or Sims to pop up and that’s it.

…And then there’s me. I use Linux for hours every day, I’m pretty familiar with the graphics stacks and such… But I need the performance of stripped, neutered Windows I dual boot for weird, modded sim games I sometimes play. And frankly, it’s more convenient for many titles I need to get up and running quick for coop or whatever. There’s also tools like SpecialK that don’t work on Linux, and help immensely with certain games/displays.

Not everyone’s a big kb/mouse fan. My sister refuses to use one on the HTPC.

Hence I think that was its non-insignificant niche; couch usage. Portable keyboards are really awkward and clunky on laps, and the steam controller is way better and more ergonomic than an integrated trackpad.

Personally I think it was a smart business decision, because of this:

It doesnt have 2 joysticks so I just buy an Xbox one instead.

No one’s going to buy a steam-branded Xbox controller, but making it different does. And I think what killed it is that it wasn’t plug-and-play enough, eg it didn’t work out of the box with many games.

With respect, this doesn’t make any sense. If you want a joystick controller, just buy an Xbox controller that everything’s compatible with anyway?

The trackpads shine when one needs to emulate a mouse/kb in non-controller games; a nightmare with joysticks.

My sister still has a working one that she treats like a religious artifact, as it’s the best way to play mouse/KB games from the sofa.

I see why they discontinued them though. They need custom configs for most games, and I think most people don’t like that much tweaking.

Yeah, it’s still good! I have a 4800HS myself that’s aging well too.

The laptop APUs were better than Intel, with lower power, and far better graphics!

It got even more dramatic in the 4000 series. Renior is one of the best chips AMD ever made.

TBH the press just had a hard time comprehending it back then, and it was lest dramatic on desktop (or tanky desktop-sized laptops with dGPUs) because Intel’s chips could clock higher for single-threaded workloads (at the expense of mad power usage).