Even if YouTube tore down the algorithm tomorrow, and went back to randomized classification recommendations (like the good old days)… I think it wouldn’t work. As spambots would rule, and your video would still get drowned out.
I’m honestly not sure what they could do, other than demonetize it entirely, which is not going to happen.
Starsector.
I see you like space games and Rimworld, so I suspect you will love Starsector.
Yeah.
Not gonna lie, it was a terrible idea from him.
The first thing the AI Bros want, and the absolute last thing I want, is for my country and social security to get entangled in a pyramid scheme.
I’m all for collaborative AI effort (like China) or some national funding to train open models as a utility (like Europe is trying but kind of struggling to get together). I’d be alright funding “infrastructure” companies like Huggingface or Cerebras, or maybe AMD/Intel with very very specific conditions. But Bernie’s proposal is basically the worst of everything.
Cerebras makes really interesting hardware though. The engineering, even just the packaging and cooling and power delivery, is utterly insane.
I have a server teardown saved that was so cool, they took it down from YouTube (for revealing too much I think).
I hope they survive the bubble so their stuff can be used for oldschool small-model ML, which is what their stuff is actually good at.
…And no one else is like that, except maybe Huawei. All the other “AI” ASICs are junk, nothingburgers, vaporware, or straight up pyramid schemes.
It’s crazy we’re so far apart that this is a good meme for both.
Nope.
I don’t think there’s any way to know for sure without some left-field software technique.
My first thought would be something akin to the VAEs already used to encode/decode chunks of video. I dunno how practical it could be adapted as a general video codec, but it has a high compression ratio and a healthy distance from the media patent minefield.
Yeah.
They must be thinking about getting away from Bing, or at least sanitizing the results somehow.
For the way I use my laptop I need fairly current hardware
Then Framework isn’t a great option, as their hardware isn’t particularly new or fast. It’s not really their fault, but just a function of the modularity (which restricts space for cooling/PCB), the small company size (so they don’t get/integrate new chips as quickly).
This is true even if you upgrade it over time, as other laptops might be a generation ahead with higher end chips.
The one exception might be the Desktop. And that’s fairly niche.
Don’t get me wrong, I like Framework. But it’s not a great brand if you really need all the CPU/GPU you can get in a particular size.
The problem isn’t the LLM summary (easy to disable, what’s the issue there?), but the SEO garbage in the results.
I want to like DDG (and tend to use it for “easy” searches), but what’s the point if search atrophies?
It got so shallow, though.
A long time ago, homesteading was the American dream. “Buy your own property, buy stuff for it, build your own life,” and that ethos extended to industrialization, post WWII (with the suburban boom), and even the 80s/90s.
I feel like that slowly broke with the rise of social media.
The “American urge” went from home/lifebuilding to encouraging short term, FOMO thinking. “Who cares about the future, look at this beatuful person, they’re using this thing and you need it NOW!” is what basically all modern ads say. Though there are some oldschool holdouts like Berkshire Hathaway, most big buisnesses seem to have adopted that mindset for their own decisions, too.
That sums up my experience with Ubuntu Gnome.
At least it required skill to make anything convincing.
…Isn’t that the joke of the post?
Problem is, I have non-tech-savvy family who do try. And succeed.
In practice, they’re not very good because of broken FP16, broken kernels, high idle usage and a bunch of other things.
Same with the AMD MI50 and MI100. Looks great on paper, not practical IRL, unless you want to pay a whole team of software devs to fix them for you.
Better to just save up for a 2080 TI or 3090, sadly.
No.
Even the biggest open weights models are trained on pennies compared to OpenAI and Claude. They just don’t have the hardware to be so wasteful.
In fact, the Nvidia GPU ban was the best thing to ever happen to “small” AI devs. It made them thrifty.
Fun fact: USB A can fit in HDMI ports.
MoEs can be very fast with hybrid inference. I run Xiaomi Mimo 2.5 (a 310B model, 116GB weights) on my single 3090 + 7800 CPU, and it outputs faster than I can read it.
It’s also easier to fit long context, if you need that.
It’s best to use the ik_llama.cpp fork for that, though. It gives a huge boost to hybrid MoE speeds.
Probably Qwen 35B then. ~9GB free VRAM + (let’s say) ~16GB of free CPU RAM is a good size for that, and squeezing bigger models in would be hard unless it’s a headless linux server.
I posit it’s a consumer culture issue.
Look at Temo, Tiktok, Amazon, YouTube; people are bombarded with “buy this on impulse!” every day, 24/7, through notifications. They’re urged to buy high by dozens of influencers they’re bombarded with.
So they do.
And now that’s the culture. Competition isn’t going to fix that, and doesn’t naturally arise in that kind of environment anyway.
Lots of tracking can still be done.
Pick your poison for the situation, basically. If you really want to stop cross-site tracking for a browsing session, for example, use Cromite, which goes out of its way to actively spoof fingerprinting.
If you are really worried about surveillance for whatever reason, use a Mullad configs
If your ad profile is messed up, use an ad click spoofer instead of uBlock. If you’re concerned about security, use a browser inside a sandbox.
Zen with UBlock is just fine (I use it, sometimes), but there’s really no perfect solution. Keep a few browsers around, like tools for different situations.