The heck is this title?

YouTube says goodbye to decade-old video player UI, but users hate the new design

Meanwhile, the article itself just cites a few tiny aesthetic changes and like four random Reddit comments. Doesn’t seem like they even tried it themself… That’s justifications for 460 upvotes?

Oh yeah, its more than that. Low weight helps acceleration, braking (so safety), handling, range, wear on every component, and most of all, cost. The same sized tires will need less pressure, wear much less, and grip harder. If the car is lighter, you don’t need as stiff a chassis, nor as much braking to lock the wheels, less battery, motor, which means you can take even more weight off the car… You get where I’m going.

Racecars are fast because they are light, not because they have big engines and expensive bodies. Little 1500lb cars can lap a $3 million 1500hp (and quite heavy, because of all the stuff in it) Bugatti around a track.

Heavy cars can handle OK, but the cost is big.

+1

Weight is everything. Removing it makes almost literally every aspect of a car better, and it’s usually a terrible negative for EVs.

Good!

I’m hoping Arc survives all this?

I know they want to focus, but no one’s going to want their future SoCs if the GPU part sucks or is nonexistent. Heck, it’s important for servers, eventually.

Battlemage is good!

It was selectively given to institutions and “major” celebrities before that.

Selling them dilutes any meaning of “verified” because any joe can just pay for extra engagement. It’s a perverse incentive, as the people most interest in grabbing attention buy it and get amplified.

It really has little to do with Musk.

the whole concept is stupid.

+1

Being that algorithmic just makes any Twitter-like design too easy to abuse.

Again, Lemmy (and Reddit) is far from perfect, but fundamentally, grouping posts and feeds by niche is way better. It incentivizes little communities that are concerned about their own health, while users have zero control over that shouting into the Twitter maw.

Not sure where you’re going with that, but it’s a perverse incentive, just like the engagement algorithm.

Elon is a problem because he can literally force himself into everyone’s feeds, but also because he always posts polarizing/enraging things these days.

Healthy social media design/UI is all about incentivizing good, healthy communities and posts. Lemmy is not perfect, but simply not designing for engagement/profit because Lemmy is “self hosted” instead of commercial is massive.

I find that tragic :(

I understand though, unfortunately kinda sympathize, and don’t have any advice to counter it…

Eh… I think most viewers like compelling characters when they find them, even in comfort entertainment. And putting them in interesting situations is part of what makes them compelling.

I guess this is why influencers (using that term very broadly) are so popular. That format cuts out all the plot and fluff and goes straight to characters.

Bingo.

Ugh, that’s exactly what’s going to happen, isn’t?

Also, I hate how people ponder why stuff like this is happening and miss the elephant in the room. Guess engagement optimization isn’t a trending topic…

Yeah. I mean, there was stuff before Taken (Bond, Die Hard, many more I’m sure), but in terms of movie plots, Taken has to be one of the most influential movies of the millennium, lol. It’s even leaking into TV (Reacher, and many others).

Things are kinda invisible if they don’t trend on social media. Hence, meaning no offense to OP, they have not show up in OP’s feeds.

A large part of the population are stressed and exhausted, and that’s not a “let’s go see something fun” mindset for many, it’s “let’s get through the day and watch comfort content.”

I’ve witnessed this, too! I even know family that relaxed their long-form TV watching due to work stress, and generally hit the YouTube algorithim and other quick comfort food in its place.

Sure, a lot of American film makes war movies all “RAH RAH RAH USA USA USA,”

Here are the 3 “original” movies in my local theatre, to get more of what I mean:

Levon Cade left behind a decorated military career in the black ops to live a simple life working construction. But when his boss’s daughter, who is like family to him, is taken by human traffickers, his search to bring her home uncovers a world of corruption far greater than he ever could have imagined.

harlie Heller (Malek) is a brilliant, but deeply introverted decoder for the CIA working out of a basement office at headquarters in Langley whose life is turned upside down when his wife is killed in a London terrorist attack. When his supervisors refuse to take action, he takes matters into his own hands, embarking on a dangerous trek across the globe to track down those responsible, his intelligence serving as the ultimate weapon for eluding his pursuers and achieving his revenge…

Written and directed by Iraq War veteran Ray Mendoza and Alex Garland (Civil War, 28 Days Later), Warfare embeds audiences with a platoon of American Navy SEALs in the home of an Iraqi family, overwatching the movement of US forces through insurgent territory. A visceral, boots-on-the-ground story of modern warfare, told like never before: in real time and based on the memory of the people who lived it.

The last one (Warfare) kinda stands out, but see the pattern? “Ex black ops protag” is super popular, and I posit that, on average, it’s a turn-off for leftists.

Heh, looking at the article and the cesspool of WSJ comments:

• The elephant in the room (that the website dances around) is algorithmic attention. If people are glued to feeds on phones/at home, that’s less time to chat about (and go to) movies that don’t have the critical mass to pop into your feed. That sucks, as there’s nothing movie studios can do about our toxic information environment.

• Going by the comments… Seems modern movie goers have a thin skin. Even the slightest hint of something woke is apparently unwatchable? But themes and conflicts that make you uncomfortable are what makes fiction interesting. This may cut both ways too (with, for instance, military-themed movies turning off more leftist moviegoers? I feel that way to some extent).

• Wanting to watch at home is a major contributing factor, but I think its overstated compared to the above two. Like, our local Movie Tavern isn’t super luxurious, I have crazy technical family with OLED/surround setups, but going out is still a fun social excursion. Most peoples’ home setups… aren’t great.

• Maybe this is more personal to me, but I am way more into TV series than movies these days. There’s just so much more time to worldbuild and assemble characters, and more room to run and play once established. But I would totally pay for a restaurant booth to, say, watch some TV episode I can pick with buds.

I mean, “modest” may be too strong a word, but a 2080 TI-ish workstation is not particularly exorbitant in the research space. Especially considering the insane dataset size (years of raw space telescope data) they’re processing here.

Also that’s not always true. Some “AI” models, especially oldschool ones, function fine on old CPUs. There are also efforts (like bitnet) to get larger ones fast cheaply.

I have no idea if it has any impact on the actual results though.

Is it a PyTorch experiment? Other than maybe different default data types on CPU, the results should be the same.

That’s even overkill. A 3090 is pretty standard in the sanely priced ML research space. It’s the same architecture as the A100, so very widely supported.

5090 is actually a mixed bag because it’s too new, and support for it is hit and miss. And also because it’s ridiculously priced for a 32G card.

And most CPUs with tons of RAM are fine, depending on the workload, but the constraint is usually “does my dataset fit in RAM” more than core speed (since just waiting 2X or 4X longer is not that big a deal).

The model was run (and I think trained?) on very modest hardware:

The computer used for this paper contains an NVIDIA Quadro RTX 6000 with 22 GB of VRAM, 200 GB of RAM, and a 32-core Xeon CPU, courtesy of Caltech.

That’s a double VRAM Nvidia RTX 2080 TI + a Skylake Intel CPU, an aging circa-2018 setup. With room for a batch size of 4096, nonetheless! Though they did run into some preprocessing bottleneck in CPU/RAM.

The primary concern is the clustering step. Given the sheer magnitude of data present in the catalog, without question the task will need to be spatially divided in some way, and parallelized over potentially several machines