Never knew this was a thing. Super cool, and how it should be; detached from the actual car.

Still, I’d be more interested in safety features, like blind spot detection, hazard highlighting, or prebraking + beeping for potential accidents, than cruise control.

From a researcher/developer perspective: the biggest bottleneck that affects current-gen AI is the lack of high quality training data

I don’t completely agree with this. Recent papers have been working miracles with synthetic data generation and smaller datasets (eg, Phi).

Meanwhile, there’s a lot of speculation that Llama4 failed because Meta’s ‘real’ data was vast but not ‘smart,’ with hints via lines like this:

In order to maximize performance, we had to prune 95% of the SFT data, as opposed to 50% for smaller models, to achieve the necessary focus on quality and efficiency.

Whereas Deepseek, with a very similar architecture and size, wrote about how well synthetic data worked in their GRPO paper.

And this keeps happening. As an example, Kimi Linear is (subjectively) performing very well in spite of its ‘small’ training dataset: https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct

IMO the limiting factor seems to be GPU time, dev time, and willingness to ‘experiment’ with exotic architectures, optimizations, and more specialized models (including the burnt time/cash on experiments that don’t work).

…No.

The way “AI” is set up now is as big blocks of “weights” and can run in two modes:

• Inference: Running a model to generate some kind of prediction from output, e.g. the next word in a block of text for an LLM. Typically, this not so hard and ‘batched,’ e.g. a single GPU may serve 16 people at once, in parallel (though I am skipping many intricacies here).

• Training: Taking a bunch of data (like big blocks of specifically formatted, processed text for LLMs), and altering the weights to fit it with glorified linear regression. This is typically done on TONS of tightly networked GPUs in more specialized setups. Usually 8x big ones in one server, at a minimum. And all the data selection/formatting is done by humans, by hand, though sometimes enhanced with algorithms that, say, generate a thinking trace. There’s also a distinction between ‘pretraining’ (making the initial model) and ‘finetuning’ (slightly altering it with new data, which is tricky).

Point I’m making is: you cannot do both at once.

You can ‘infer’ AI, but internally, it will never change. Its never learns.

You can train it with new data, but this is a huge and very manual/finicky and infrequent endeavor. And it takes a long time.

Theoretically ‘learning on the go’ is a goal of machine learning, but right now Big Tech is acting about as innovative as a brick, and just scaling up architectures and stoking egos rather than paying attention to this kind of research. The Chinese LLM companies are also being relatively conservative too, but in a different way.

Also, the recent fad (especially in China) is to make and use synthetic data instead, eg data some AI made up all by itself. This (in combination with smaller amounts of really clean/high quality ‘real’ data, e.g. not some random files stolen from your computer) is actually quite effective.

If you’re worried about privacy, the advertising ‘models’ companies like Facebook and Google already make, and have been making for over a decade, are closer to what you describe. It’s already happened, and we’ve been living with it for years.

Some of that is oldschool machine learning, but not all of it.

It would be political suicide. I bet most of them would get recalled.

That’s it, sorry.

It’s very corporate, isn’t it? “Just keep scaling what we have.”

That being said, a lot of innovation is happening, but goes unused. It’s incredible how my promising papers come out, and get completely passed over by Big Tech AI, like nothing matters unless it’s developed in house.

The Chinese firms are picking up some research in bigger models, at least, but are kinda falling into local maxima too.

Well, browser usage is kinda dying off in lieu of apps :(

Many founders worried over party politics to their death beds. Their nightmare? A demagogue with such a grip over his party he can basically command congress.

That’s what we got.

Congress aren’t handing over power; it was already taken from them before the term. Their hands are tied.

Yeah, that sounds dreamy. It could certainly work.

And yeah, the problem is not just Microsoft but Mojang. Mojang is an extremely conservative/careful dev, even before they got bought by MS. It’s why the game hasn’t enshittified too bad, but also why development seems to move so slow for arguably the biggest game on Earth.

Collaborating via a repo like that would be… a lot.

Again, it’d be awesome and I think it would work, but it would be a massive step even if Microsoft wasn’t in the picture.

The MultiMC dev came out as a raging anti LGBT, right? That’s why it was forked into Prism (hence the name “Prism”)

Man… there’s been a lot of drama in the MC modding scene.

EDIT:

As pointed out, this is wrong. MultiMC was involved in a separate controversy over distribution, and PolyMC had a dev kick most of the main ones out of the repo, and bigotry was involved in the later.

Thanks for the info.

But I meant the other way around, eg a Java client connecting to the bedrock ecosystem. Is there no way to do that?

I thought it was compatible with a translation layer?

…I suppose that’s a big technical hurdle.

I get that. It’s like saying “just install Linux to run this,” but weird thing is OP already runs Linux and understands Android emulation, so I’m assuming their technical proficiency is enough to install a JE mod. Or maybe the mod isn’t as functional as I assume.

This is horrifying. Like, mind-bogglingly bad.

It’s also a blatant lie. Other countries are not testing nuclear weapons, they’re running simulations. We didn’t do that in the 60s because it wasn’t possible, but the US (and presumably China/Russia) literally have giant supercomputers for this purpose now.

…And we would know if they were doing real testing because it would show up on seismographs.

But who cares about truth? Or sanity? No, all my relatives (even scientifically minded ones) won’t even bat an eye, lest some Democrat steal their retirement, ugh.

Given the dead-hand policy, that’s easily the most dangerous mindset I’ve read on Lemmy.

It should make you more worried, lest faulty equipment leads to another incident like this: https://en.wikipedia.org/wiki/1983_Soviet_nuclear_false_alarm_incident

And we don’t have someone like Stanislav Petrov literally risking his neck to save civilization.

Do you play on a server?

I haven’t found fun modded ‘communities’ since like 1.7.10. All Forge modded servers I’ve tried either seem to be ‘commercial’ servers with zero render distance and basically no community, or ghost towns.

Genuinely curious; why play Bedrock instead of Java Edition when Bedrock is so much trouble on linux? RTX?

EDIT: In hindsight, if this is to play with friends/family stuck on Bedrock, that makes perfect sense. Translation layers might not be as good as I thought.

Facebook, Twitter, and the general burning of the ‘old’ internet suggest otherwise.

Anyone who knew much about space knew that was nonsense from the start, as colonizing a subantarctic volcano is literally more practical than colonizing Mars.

And that’s assuming paradigm shifts in spaceflight. Turns out, they did not materialize at all. With SABRE air-breathing engines and Virgin-style stratolaunches dead, things actually went way worse than I expected years ago.

Don’t get me wrong. SpaceX is great, Starship is cool, research in space is awesome. But ever since I’ve first read Musk’s public thoughts, he struck me as ‘not scientifically grounded,’ and I wondered how that incongruity would shake out.

TL;DR: Truth never mattered, and it still doesn’t :(

I don’t agree. Tons of folks spend tons of time influencing for basically no financial gain (or the platform taking the vast majority of it). Attention is everything.

In other cases, people are just tribal, and like following someone.

That’s always been (and will always be) an issue, but the monster of this story is engagement optimizing design. Technology has made this human tendency extremly dangerous, and “engagement at any cost” needs to be a social taboo.

This is quintessential “Modern CPP”

Take a real problem screwing up the western world bad (like influencer mis/disinformation), and smash it in a way only their massive state apparatus can…

Superficially.

It’s “proof” their party line works and, as always, a good way to control the populace, if abused. It’s probably effective, but not as effective as it appears on the surface.

I’m sympathetic here.

In past years I was a “free internet” libertarian leaning diehard, but something has to be done about algos boosting shameless outrage peddlers; it’s literally destroying the planet and our collective psyche, just for short term corporate benefit (Or corpo-state benefit in China’s case, as its “Big Tech” is under the party’s thumb). But China just took the problem and used it as an excuse for more control.