I sincerely hope this fucks up the market. I hope all the other manufacturers get fucked right up their greedy fucking asses.
With an unlubricated horse cock
Say, are you an engineer at Boeing in Washington?
Remember he was from Germany, even if he ultimately fell in Washington.
“Fell”? Like did they play Taps for him after?
Use lube, or find another phallic object. That poor horse deserved better.
Mr Hands, please save us!
The West is its own enemy. Not only are our oligarchs against us, they are dimwitted and don’t plan ahead for anything but earnings reports.
THIS QUARTER’S earnings reports. sigh
It’s telling that if someone powerful like a politician actually does their job, they’re hailed by the general public as a hero.
Runaway Capitalism western civilization started at the end of the Vietnam War in America. The MIC went private and every motivation was for Wall Street means and shareholders, etc. Who were the ones that created the biggest demands of the drug trade and America made a new war for itself against itself to feed itself. The War on Drugs.
Now we are nearing the collapse. Trump is the cumulative representation of America. America is Trump. MIT predicted this civilization’s decline at around 2040. And it looks like that should be the approximate set date for WW3 also given the current trends and shift in global super powers.
Unregulated capitalism (and probably all power systems) self-selects for mental illness. Not only do they not plan for long-term, the people running a lot of these companies are not capable of it.
“Is for me? 👉👈”
~ AI“UwU is all that wam for wittle old me?”
~ AI probably
Go China Go!
Except maybe in America if MAGA dreams up some tariffs because Freedom (Chinese EVs have entered the chat).
Nah, there won’t be any tariffs. Nvidia wouldn’t like them
MAGA would rationalize huge price increases in the name of “america first!”
Communist EVs are made with stolen organs and enslaved lithium and fingernails pried from the hands of good Christian missionaries.
If you even look at a Chinese EV you are committing genocide.
Yeah but I’m doing it for FREEDOM™ so it doesn’t count!
This helps the AI companies.
This is not bad at all. Go for it 😍
I thought it would take yeeeeeaaaars to build new factories. That’s what they were saying when it started.
Obviously this is good for RAM prices but does the NAND part affect SSD prices as well?
I’d skip spinning platters if I could get 4 TB of SSD for vheapt
I just bought 2x 8gb ddr3 for €25 so I can play games from 10+ years ago.
You can try games from 20 or even 30 years ago. Plenty of bangers in any genre.
Yeah exactly! Any recommendations?
Scorched Earth is a classic
All the Command and Conquer games
Dungeon Keeper
Carmageddon
I’d say Civ 3 but I don’t think modern ones require strong hardware
Baldur’s Gate
It’s not 20 years old but Tyranny is a great RPGThe games from my childhood!
Tell me please, what would be the best way to play these games on modern hardware? VirtualBox? Proton?
gog.com of course! They do a lot of work to make sure old games work on new platforms.
Proton is probably a good option as well.
Idk i didn’t play all that many games back then, Deus Ex, Return to castle Wolfenstein, Arma cold war assault, Vice City, Warcraft 2, Batrle realms, check those best games of all time lists. I mainly play racing games from back in the day, maybe you like different stuff. But if there is a community that takes care of the game to be up to modern resolutions and easy to run, it’s a good game worth trying out. Guy made a modernized port of the OG Medal of honor, it’s free and it’s alright. You can also emulate consoles so you can play Playstation 1 and 2 games, Nintendo and Sega stuff. I have like six golf games emulated on my phone, playing Silent Hill when i get a chance (good thing with emulation is you can save progress regardless of the game’s saves so you don’t need to grind like back on the day). For Dos games check out Exodos project. There are so many amazing games already made, polished and maintained by the community.
Thanks! Good tips. I will save this comment for later reference.
Come and join us at c/patientgamers
Damn you Mr Xi
Why aren’t data centers buying up all this RAM too?
I’m guessing because China isn’t producing the type of RAM they want. Put it this way, when the AI bubble bursts we aren’t going to have a load of RAM and GPUs suddenly available, because the AI data centre versions aren’t in a format that’s useful in consumer tech, or even all the data centre systems. They are optimised towards AI workloads and don’t really work in normal computer systems. Equally that means that if the RAM that’s been produced isn’t in this AI workload optimised format, then the data centres can’t use it.
The crime isn’t that the AI data centres were using a lot of the RAM, it was that the manufacturers were letting them by producing all their RAM in the required format.
but surely there are ppl out there smart enough to make it work somehow?
after all we can play Doom on just about any device
Without actually ripping chips off boards, you would be stuck with a pizza oven sized computer that sounds like a jet engine, uses more electricity than that pizza oven would, and doesn’t have a video-out port on the GPU. They really are tailored to a particular kind of use case and unless you are running your own ai models or /maybe/ something like crypto mining, its going to be pretty useless.
I’m sure they could be made to work. But why would they when they’ve got the likes of Nvidia producing all the chips they could ever want.
Even if they were made to work, they may still be bad in price / perf and not worth using simply due to being manufactured for a completely different purpose.
when the bubble pops there will be loads of these (assuming they haven’t all been cocktailed).
prob buy em for pennies on the dollar.
bet in 10 yrs time someone could figure out how to run them on a quarter the energy usage.one can hope, to up cycle this fucking stain on humanity
Ehh HBM3 memory is definitey very useful in consumer GPUs. I have a prosumer one with HBM2 and it helps. The bandwidth is several times that of GDDRX!
Assuming we’d let China sell chips in the US. Gotta block competition and keep prices high.
The screenshots appear to reveal details about a 16GB Corsair Vengeance DDR5-6000 module featuring CXMT memory chips.
It’s not like they’re selling chips to consumers. Memory providers will be using the parts. Not saying it won’t be import controlled. But seems less likely.
Another leg up for the Chinese from the American AI bubble! Think how long it would have taken to penetrate the memory market if there wasn’t an artificial shortage.
The Chinese AI labs are really trying to pop the bubble, too.
How?
Well lemme ask you this. What if models 80-90% as good as Claude, with weights just thrown out there for any provider (or homelab) to host, flood the market? What if they’re so dirt cheap to run, they’re almost free, and don’t even need Nvidia GPUs? What they need fewer resources to run with each update, instead of more?
…What if this already happened, and Big Tech is maddly lobbying to ban/censor them before people realize it, and that the “infinite scaling” thing is a big fat lie?
That’s the state of things.
Yep, the Chinese models are already up 10 times cheaper and now that Anthropic, OpenAI, and Google, all are increasing prices up to 10 more for models like Opus, it will make Chinese models anywhere from 50 to 100 times cheaper.
American corps. are betting that since people have their workflow already established they won’t switch to other providers, but that’s not the case. There’s already a mass move to Chinese models.
People keep talking about Chinese models, where are they? How do I used them instead of Claude? Are they safe?
ollama or llama.cpp to self host if you have a good mac or good video card. this is perfectly safe.
there are a bazillion hosted inference providers to choose from https://huggingface.co/docs/inference-providers/en/index be aware that you are sending your code to fuck knows who and they are sending back fuck knows what. ymmv, yolo.
hook one of them up to opencode.ai or pi.dev or one of the bazillion other ‘harneses’ or whatever we are calling it this week and try not to rm -r anything important.
for a good time try and get a chinese models to say something about tibet, or taiwan… its like having your own virtual tankie tamagochi!
be aware that you are sending your code to fuck knows who and they are sending back fuck knows what
So literally the same as Western-made AI?
inference providers could be anyone from anywhere, there are even proxy resellers. some are harvesting and reselling your data.
if you send your code to claude/openai/google there is certainly a much higher degree of confidence in who you are sending your data to. yes they to harvest your data and can send you malicious commands (esp if you have a promp injection attack).
its like buying a cheap vps, if the stakes are low its fine, if it important then you need to consider about the consequences of your actions.
nb: i am no expert, just fucking around.
Yeah only the Chinese government is currently far better at working behind the scenes with companies than any other government in the world?
Incompetence is a feature of governments at times.
I trust the Chinese government more than American tech corporations. One side is socialist, the other side is fascist.
Uhh. Look at history? Neither in that group are great. The Chinese government is easily in its own class of terrible. Statements like this are good, it tells us all what is behind your comments.
The most famous is Deepseek. It’s not even made by “AI” company, it was a side hustle from stock trading company. They released it for free just to flex.
Chinese models are really good. How you use them depends on what your goals are. If you want something on par with Claude or ChatGPT, you need to go to Deepseek or Qwen’s website. You can also find these models on openrouter. If you want a local/small model, then get ollama and find a model in the repository. You could also get anythingllm or LM Studio and get models from within the app. There’s also huggingface.
Since you asked about safety, deepseek on the official website does collect info and there was a time some of that info was leaked but you can get around that using something like openrouter. Note similar things happened to ChatGPT and Meta AI. There is also the potential for bias (there was a time people were spamming their Deepseek Tiananmen Square responses – personally, it just would not process my query) but Grok has that same issue.
safe?
local models in a sandbox without phone home sounds pretty safe, but are we there yet?
to my limited understanding the tokens are open source… not the model itselfLook into zen.ai which is opencode’s sister company that provides llm access. “At cost”
You can see just how cheap they are. I use Augment Code at work and they have kimi 2.6. It’s really solid. Opus/GPT are still better, but for many tasks, kimi works great and doesn’t make me cringe at the price.
Qwen 3.6 is supposed to be really good too. I haven’t used it that much.
I hear people use minimax as replacement for sonnet and deepseek as replacement for opus, both can be used directly in Claude code instead of Anthropic models
Liu Wen tends to be in China
Check Ollama dot com
It turns out that off-shoring your economy to a political rival is a really dumb thing for a capitalist to do.
But, but, this quarter profits.
I wish, I wish we would bring out the guillatine for these greedy treasonous capitalist fucks.
We’ve lost so much because of them
but also necessary and that’s the beautiful contradiction of capitalism that will cause it’s inevitable downfall
“the capitalists will sell us the rope we hang them with”
(Exact source unkown)
Or:
“Just keep making and selling them more rope, eventually they’ll hang themselves with it.”
off-shoring your economy to a political rival
If you offshore your economy, what prevents the recipient from becoming a rival?
We’ve offshored to all the BRICS countries and they’ve all become our rivals was a result
Well a funny thing about off-shoring your economy is that it really just means exploiting people in countries that can’t stand up to your imperial might. So it inevitably creates enemies. Now you have no economy at home AND the rest of the world hates you! Double stupidity!
In a way it has actually.
Deepseek was big because not only did they publish the full model for everyone to use, but the MoE structure significantly brought down the hardware requirements in terms of processing power. As long as you have enough VRAM, you can run it on older hardware with no need for the latest Nvidia stuff.
Now they got v4 which many have found to be within a 10% margin of Claude and ChatGPT.
On top of that, China has cheapo VRAM GPUs available or soon to be released, like the MTT S80. Yeah it sucks as a Graphics card because the chip is behind, but you get 16Gb of GDDR6 for much cheaper than anything else.
But its not a conspiracy to fight China. The infinite scaling was just Nvidia solidifying themselves as the monopoly because they want all AI infrastructure to be dependent on them, which is why they still illegally export to China, despite an export ban attempting to reduce their potential competition.
Moore Threads (MTT) already has their own CUDA like system called MUSA, and I’m sure they’ll be happy to put in proper hardware support for new stuff like Bf16 and FP8/4. It’ll take a few years, but eventually China will catch up to the point where Nvidia gets shanked by cheaper hardware.
MTT is just a pipe dream, last I checked. But Deepseek is actively being served, in mixed FP8/FP4, on racks of Huawei accelerators.
I believe Baidu trained a model on them, too. But most training (like Deepseek’s) is still done on CUDA.
…Also, be careful equating this stuff with any kind of “consumer friendly” hardware you or I could buy. That’s less likely. The Huawei accelerators (and other local Chinese hardware experiments) are geared towards huge servers serving requests in parallel.
Wasn’t there development of a linux translation layer for CUDA workloads to run on AMD GPUs? I haven’t heard about it in a while, but I’d imagine that’d help the situation.
You mean ZLUDA? AMD gave up on it and released the project on github.
Personally I dream for CUDA API implementation in open source GPU drivers on Linux. That would absolutely level the playing field for the whole industry
Agreed. I am not longer paying token fees as I am running QWEN 3.6 27B MTP on my 4090 GPU and it is as good and as fast as the frontier models for agentic coding.
Same. I’m running Qwen3.6-35B-A3B-FP8 (Qwen3.6-35B-A3B-UD-IQ4_XS.gguf) via the turboquant fork of llama.cpp with a few tweaked memory settings, and I get like 40 tokens / second – nothing that required special insight on my part just following the instructions I saw on a youtube video I found via !LocalLLaMA@sh.itjust.works and asking claude to help me through the installation.
AI has no economic moat. There’s nothing stopping anyone from running LLMs locally.
I just updated my setup from LMStudio to llama.cpp with the new QWEN 3.6 27B MTP model and I am getting 80-112 tokens/second, 90 average which is just shocking to me. I am on a 4090 with a context Window of 64k. It hardly use cloud AI anymore as I rarely need more than 64k if I ensure my first prompt is written like a design document. Multiple prompts are not great so I often just figure out where my initial prompt went wrong, adjust and try again in a fresh session. Way faster this way too. It has really worked out well for me as I am getting just as much done locally for free as I was with hundreds of dollar a month on cloud AI. I am still shocked and grateful it flowed this way.
What do you run it on?
https://www.amazon.com/dp/B0BV8H8HVD with linux mint installed.
What’s the rest of your stack look like?
I am using llamma.cpp with QWEN 3.6 27B MTP, with a 64k context window on a 4090 that OpenCode talks to and then it in term talks to the Unity Game engine via MCP. Getting 80/112 tokens/second work 90 average which is shocking to me as it really does feel as fast as cloud AI (well faster for me as I am in Vietnam and round trips to US data centers really adds up in a session). The only really issue is you pretty much have to one shot prompts as follow up prompts will easily go over the context window size. If I cannot one shot prompts them use cloud AI both that is very rare for my use case. Maybe 1 in 50 or so and only when the tasks touches a lot of large scripts and scenes.
The state of things is what if, that’s true. It has not happened. :)
At some point, it should happen. Still not going to put a dent in the datacenter / dystopia rally though, since they will pick Nvidia and known brands.
Hyper scaling was always about cornering the computer market, It was never about providing us some vastly new and superior service.
They should be strung up. And middle management needs to return to fucking school.
It’s like Kyle Kulinski said “I’m starting to understand re-education camps now”
Hyper scaling was always about cornering the computer market, It was never about providing us some vastly new and superior service.
Exactly, its a method of taking tens of billions of dollars in capital and buying a near monopoly. No other providers can compete if the hyperscalers buy all of the hardware, driving up the prices while also selling the service at a loss.
Nobody working out of their garage with a cool idea for a better service can compete if they can’t get hardware and have to charge double what the hyperscalers are charging because they can’t burn capital for years.
It’s a practice that should be considered illegal market manipulation, because that’s what it i
e: extraneous ‘completely’
‘Dumping’ is considered anti-competitive behaviour in a lot of places. This sounds a lot like that.
Please, please bring the world back to sanity. I was like, literally saving up to expand my homelab when my main server went down and have been utterly slapped by prices.
so like, i have generational hoarder trauma. we’re not that bad, but we don’t throw away shit we can legitimately use if we have the room to store it without making a mess. so i have three extra PC boxes and two extra laptops on a shelf in the garage that i was waiting for the energy to go through, wipe the hard drive, see if there were any parts i wanted to use and blah blah blah. two days of work that i just really didn’t want to do, especially since one of them is emotional. now if anything burns out i have my spare parts cache sitting there and thank the machine god it won’t be too much of a downgrade.
I bought a 2x16gb DDR4 kit for my home server just before it all went to shit. Feels good (though now I want to upgrade my gaming pc and I wish I had bought a DDR5 kit too)
Yeah but apparently GPUs are going up again 🤣…😭
Price of the brick goin up?
China has released their first gen competition to Nvidia cards. First ones kinda suck, but they’re cheap. Let them pump out a few more and they’ll drive the market back down.
More like competition to Intel considering these cards performance is similar to 3060
That’s not too bad. The next generation could be genuinely useful.
Is the 3060 that bad, I’ve been able to play a lot of games on a 750 TI still (though finally swapped for a 1650).
It’s not bad, I think you can play pretty much anything on 1080p with 60fps easily. It’s just that if you want to play games in 1440p or 4K with 120 fps+ you need something more powerful.
1080p is good enough for me, and 60fps is better than 30 (or teens).
I’m not saying it is bad but it doesn’t compete with new nividia cards. For example if you want performance of 5070 you go with either rx9070 or 5070, but if you want 3060 you can get AMD Intel or NVIDIA and this is where this card is currently.
But let’s hope next gen will be comparable to 4070 so it will be more of competition to them.
I got many empty PCI-E slots. Having three or four 3060 clones to accompany my 4090 would make bigger models much more practical.
Isn’t Nvidia only bumping up the price of the 5090s? Or is there an update to that?
Someone had posted this recently
https://www.thegamer.com/graphics-card-price-hike-again/
Paragraphs 3 and 4, mostly.
Thanks!
Guess I’m gonna keep on my plan of keeping an eye on the used market and hoping for honest gamers who don’t mark up their 2nd hand GPUs
🛐
But think about Samsung, SK Hynix and Micron shareholders
I do think of them.
Whew, glad I dumped my Micron shares a little While ago.
Oh dear…
Who cares, they’re Korean
Edit: This is sarcasm
Hoping you don’t have a 401k (if American) or any other sort of American or Global stock based ETF exposure because Micron is American. Or Asian ETFs that include Korea.
I mean obviously it’s a good thing that the triopoly finally has competition, but “they’re Korean” is such a stupid take when tens or hundreds of millions of people’s retirement will be affected and one company out of the big 3 isn’t even from the same continent as Korea.
Thanks for hoping, I don’t.
Fuck a 401k.
I was paying into mine before the orange fungus took office. But now I don’t even know if USD will be worth anything by my retirement age. I’ve opted to put only a few dollars back per month now in the rare event it’ll be worth a damn.
I’ll probably die of plastic in my balls before I’m able to take anything out anyway.
It was supposed to be a stupid take, btw.
Micron Technology, Inc. is an American multinational semiconductor company that manufactures computer memory and computer data storage products, including dynamic random-access memory (DRAM), flash memory, and solid-state drives (SSDs). Founded in 1978 in Boise, Idaho, Micron is the only major American computer memory manufacturer.[
Hi. Korean here.
💩
Bye.
