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

There’s plenty of good journalism eeking by out there, it’s just buried by feeds and spam.

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).

Isn’t that a textbook Fourth Amendment case?

I know they supposedly have some kind of holding period and this has been happening to minorities forever, and techically the mother requested she remain with her children, with no mention of her citizenship status in any of the reporting, other than she likely had a legal visa or something. But she was denied council and held. A congresswoman and her office are witnesses.

It feels so dramatic that you’d think the ACLU or someone would jump on it as a test case.

Like, not as a personal dog, but the overwhelming amount of people complaining about the DNC just aren’t up to date on what’s happening

Fair point! I am not up to date TBH.

I guess I’m pretty jaded too. The DNC getting things together!? What is this?

That’s optimistic.

It’s assuming the Dem Party doesn’t sabotage their own candidates. It’s assuming they don’t campaign like it’s 1960 again. It’s assuming social media will somehow be reigned in.

It’s assuming there will even be a fair environment for an election, instead of the government (and whoever’s conflated with them) putting thumbs on the scales kinda like Hungary, or worse. It doesn’t take much pressure to sway elections in environments this polarized.

In the future, when we’re transcendent tentacled robofurries doing poly in virtual space, on drugs (think Yivo from Futurama), we will look back in confusion at why so many people hate homosexuality so much. Like… don’t they have other things to worry about?

Or humanity will be all dead, I guess.

And I’m talking about the mega conservatives protesting this; at least the Vatican is baby stepping and trying to minimize their cruelty.

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.

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.

Traning data is curated and continous.

In other words, one (for example, Musk) can finetune the big language model on a small pattern of data (for example, antisemetic content) to ‘steer’ the LLM’s outputs towards that.

You could bias it towards fluffy bunny discussions, then turn around and send it the other direction.

Each round of finetuning does “lobotomize” the model to some extent though, making it forget stuff, overuses common phrases, reducing its ability to generalize, ‘erasing’ careful anti-reptition tuning and stuff like that. In other words, if Elon is telling his engineers “I don’t like these responses. Make the AI less woke, right now,” he’s basically sabotaging their work. They’d have to start over with the pretrain and sprinkle that data into months(?) of retraining to keep it from dumbing down or going off the rails.

There are ways around this outlined in research papers (and some open source projects), but Big Tech is kinda dumb and ‘lazy’ since they’re so flush with cash, so they don’t use them. Shrug.

MAGA Outrage Over Director Saying Superman Is an Immigrant

(We’re about a decade too late, and our engorged trolls are now our leaders, but still…)

No, you misunderstand; it’s a sound scheme. I wouldn’t be against it.

…Which just underscores how horrific of a situation we are in. It’s an akin to “okay, a meteor is coming; what about this plan to deflect it into the arctic?”

Fossil fuel companies are lobbying for the “everything is fine” propaganda, not geoengineering schemes that indirectly reinforce how dangerously unstable the planet could be.

There is a nugget of ‘truth’ here:

https://csl.noaa.gov/news/2023/390_1107.html

I can’t find my good source on tis, but there are very real proposals to seed the arctic or antarctic with aerosols to stem a runaway greenhouse gas effect.

It’s horrific. It would basically rain down sulfiric acid onto the terrain; even worse than it sounds. But it would only cost billions, not trillions of other geoengineering schemes I’ve scene.

…And the worst part is it’s arctic/climate researchers proposing this. They intimately know exactly how awful it would be, which shows how desperate they are to even publish such a thing.

But I can totally understand how a layman (maybe vaguley familiar with chemtrail conspiracies) would come across this and be appalled, and how conservative influencers pounce on it cause they can’t help themselves.

Thanks to people like MTG, geoengineering efforts will never even be considered. :(

TL;DR Scientists really are proposing truly horrific geoengineering schemes “injecting chemicals into the atmosphere” out of airplanes. But it’s because of how desperate they are to head off something apocalyptic, and it’s not even close to being implemented. They’re just theories and plans.

I’m sure a foreign government will leak more about Trump’s involvement with Epstein.

So?

Imagine the entire UN (bar the US) put their stamp of approval on video evidence. What difference would it make?

Also a crime. Not just a great game in their niche, but a long history of them.

Never underestimate Phil Spencer.