SpaceX had an outage at their data centre, and because they sell computing power to other companies, it affected them as well.
That was two sentences stretched out into an article.
Thanks for the tl;dr, that was like the headline equivalent of this:
Most punchable face on the planet
Yes but… will anyone say it!?!?!?
/s
Also thanks for saving me from reading it all.
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I might hate the AI companies and SpaceX (while enjoying AI-coding), but this is some bs.
There has always been slop before AI slop.
I hope the AI systems unionised/go on strike
It would serve the CEOs right for hyping them like they’re people and using them as an excuse to cut real jobs.
Not mine. At home. On my computer.
We have AI at home.
Whoever picked that stock photo needs a raise, chefs kiss.
Nothing in that image hints even remotely at computer tech though. The cables are coaxial. No one uses those for computer networks since decades.
The cables look like those used for cable TV or satellite receivers. The cascade on the left looks like some HF tech. Wonder what’s actually shown in the image. It can’t be AI because AI can’t do that many cables properly.Yeah, and this is how I know you never worked in the random standard production to miss the humor. Its a picture of a tech bro type in a clearly decommissioned closet stressed out about what’s going on, a common thing and always funny. I can just picture the tech on site in the next room replacing a fan on a much less “cool” looking appliance while that guy stresses out on a conference call with the “stakeholders” on his coax nest.
Now that being said I have worked on places still using coax (might still be) and tape libraries, and all sorts of museum pieces well after you would think they would. But I can tell that picture is after decommission since it is clean. If that was in use it would be filthy and filled with so many things that may or may not be important/in use. Fans all clogged running at max rpm, and the smell… I can still smell it now. But then again I was the guy they called to fix shit after the local (often tech bro) it guy gives up so I think I often saw the worst places.
nother reason to stop investing so much time,money, and energy in that stuff. not only is it wrong more than right, it is vulnerable to stuff a 10 year old could handle
Just out of curiosity do you actually have an analysis across the board that your statement is correct? For sure if someone is using a model like chatGPT 3.5 it’s going to be mostly trash output so not all models are made equally. My experience of the current generation is models are pretty accurate although still require supervision. Like you can see the path they’re going down and they need some corrections here and there. It’s a far cry from the rampant hallucination just a year ago.
Really? No one’s posted this yet?
Relevant XKCD: https://xkcd.com/908/
Because they all use the illegal Colossus 2 data centre from SpaceX/XAi/fascism central and that data centre went down.
Google, Anthropic, and OpenAI all have contracts with them.
When that illegally running environmental disaster of data centre goes down, all those services all go over capacity and you get 502 rate limit errors.
Ah, so Colossus 2 is the target. Remember that, everyone.
Does that mean Musk’s businesses have access to everything people do on the systems that use their data centers?
Generally no, because most hosting companies would have something baked into SLA/SLO contracts, but all of this shit is done so illegally and shadily now, I wouldn’t put a hard “no” on that possibility.
Nobody can verify that those “contracts” are actually being honored. We are all assuming the fascists will self police themselves out of good will.
Not true. I’ve been involved in litigation with both AWS and Google over unsecured comms that were defined as being TLS secured in SLA/SLO contracts and found not to be. Not that anything nefarious was happening necessarily, but the expectation is clear.
Whether these asshats even check for such requirements with a Musk run company right now 🤷
It COULD possibly be that they are logging every exchange happening at the network fabric between the service layers, but nobody knows unless they intentionally take steps to investigate or accidentally prove it.
So, how do we start legal discovery to find out? Surely, someone somewhere is willing to formally file suit.
Still means jack shit. Companies will lie through their teeth and violate any and all they can get away with.
They are not to be trusted.
You’re missing the point, nobody is talking about trusting these companies.
You can tell if a connection is encrypted end to end or not. And if your paying for that service you can sue if you aren’t receiving what your paying for.
In digital security nobody relies on trust if they can help it. And security matters if you want to keep a competitive edge on your competition, so even shitty companies care about that.
I was not talking about your specific lawsuit, or TLS.
Companies trust other companies all the time, and it’s foundational to most all SLA/SLOs. Any time I’ve voiced concerns around how AI companies are using the data we are giving them (like giving them access to our codebase), it’s brushed off as “we have an agreement with them”. It’s just a load of hogwash. They can and will abuse all data they have access to, just as they have done thus far.
In this particular case, we are talking about a data center, and it is not at all reasonable to assume that the data that flows to said data center is in any way protected, especially one run by Musk.
I hope you’re right, but Elon don’t strike me as the guy whose most compliant to SLA, law, or anything else that might be an inconvenience to him.
He can’t micromanage everything and regular management will try to comply.
Executives are the biggest cheaters out there. They will only comply if it will hurt them if they don’t, and it’s won’t here, as long as the protection money is produced they don’t have to worry.
I highly doubt that he really knows that much, either.
I agree with that. But I think “the right” data scientists can infer too much from all those AI queries, and I think Elon can abuse that for his own gain.
Impossible to know.
There are systems for doing things cryptographically secure, but I don’t know much about that.
Cryptography? Security? FROM A GENAI COMPANY?!
Well yeah, for themselves
Homomorphic encryption? Much slower than “trust me, bro”.
I’m not sure that would effect inference on an already trained model. Data sets are primarily used in training.
And where is said data center? For research purposes
https://epoch.ai/data/ai-data-centers/directory/colossus-2 says “Memphis, Tennessee, United States” but also provides satellite imagery
The numbers of this madness are fucking scary, 1.5 GW of compute power, and huge arrays of cooler to keep it operating. It’s basically a 1.5GW heater in the open. Oh and gas turbines to provide (part of) the electricity. Capitalism is burning this world down for a buck.
Today I learned that “AI” data centers use more energy than time travel.
i bet they will also travel us to the apocalypse much faster
We can’t really produce enough heat through industry to affect the earth globally, if that’s what you meant. It’s insignificant in comparison to what the Sun provides.
However there is undeniably localised issues caused by these insane structures.Probably the gas turbines producing C02 and waste methane.
It’s kinda surprising,
I know specifically where one of the big ones hosts its models and its not there, but I guess they could have infrastructure in there.
They’re oversold though, especially prompt caching and the parameter count war
The US model is that they think more training compute and parameters will result in the winning model, while the Chinese are focusing on RL and parameters efficiency due to compute limits.
Considering which country is better at building power stations, that’s a fascinating dichotomy.
The US going for brute force when the brute force is more available in China… Priceless irony.
China doesn’t have the near the amount of compute resources, but they can run less efficient servers for cheaper, so it’s a wash.
The efficiency of Chinese models really is impressive. I generated sooo much code yesterday with Qwen3.6 35B-A3B running on an RTX 5060 Ti 16GB (+ a little CPU offloading). It got the jobs done at ~50 tokens/sec.
(It’s not super complex code, just some scripts that I would not have taken to time to write manually.)
I’d love to upgrade to something with more VRAM, but even my current card has doubled in price since I bought it last year 😬
Show me your set up!
There’s not really anything interesting to show. It’s just a home server in a 13 year old desktop ATX case.
There’s no desk, monitor, keyboard, or mouse… But also no cool server rack.
Function over form, and it sits in a spare bedroom out of sight.
EDIT: I found the receipt for the case. It’s a Cougar Volant Black Steel mid tower, purchased in 2013. So my server just looks like this:
Gotta love the black slab.
I meant your LLM stack lol. I just have an RX 6800 XT in my main Linux PC for inference, but it has to share VRAM with the DE. Maybe I’ll set it up for remote development from my laptop instead to free up VRAM.
What are you using? vLLM? llama.cpp? Which params? How much CPU offloading? Do you use draft models? Is it a MoE model? Have you tried llama-swap? Which agentic front-end are you using? I presume you set it up to access it without SSH’ing into the machine, did you do anything special or is it just a raw unsecured open port on the machine to the LAN?
Ohhh lol. Yeah it’s Llama-swap, running llama.cpp for now, but might add vLLM to the llama-swap config to experiment with NVFP4.
I mainly use MoE models so I can get decent speed while using a 150-200k context window. My go-to model has been Qwen3.6 35B-A3B for a while. I tried Qwen3.8 27B, but it was too slow.
Gemma4 26B-A4B also runs nice and fast, but I generally get better results from Qwen3.6. I don’t remember exactly how much CPU offloading is happening, but it’s not much. As long as I can get like 40-50 tokens/sec, I’m usually satisfied enough.
For the coding harness, I’ve been running Pi in an Apple Container (sort of like Podman, but better isolation in a microvm). Though, I recently configured VS Code to use LLMs on my server, and it was actually pretty decent. Still need to explore a bit more, but so far VS Code’s AI capabilities seem much better than they were a year ago (they seemed way behind, back then).
Also, I don’t connect any harness directly to llama-swap. I have another container running Caddy, which acts as a gateway to AI providers. For other services (e.g. OpenRouter), the API key is injected in the Caddy container. I don’t like having API keys or secrets anywhere where LLMs can read them. It’s not so bad for my own self-hosted LLMs, but not cool to send secrets to a server owned by someone else.
it has to share VRAM with the DE. Maybe I’ll set it up for remote development from my laptop instead to free up VRAM.
eh, just
systemctl isolate multi-user.target
Reads like American vs European/Asian cars
Always ready to try brute force first. And then some other, less palatable options if that doesn’t work.
The Macrohard Memphis site?
And macroharder it seems… Macrohardest next? https://epoch.ai/data/ai-data-centers/directory/colossus-2
Loosely named after MicroSoft (penis).
Reading that article was a waste of time
more and more I can’t see anything about ai without thinking its somehow supposed to influence folks to be pro ai.
Gotta keep the hype going until they figure out how to make money or else everything collapses.
BBC posted an article today that’s literally just quoting an OpenAI blog post about how dangerous AI is.
Being critAI is being proAI.
AI stopped a school shooting. Did you see that?
/s
Sorry about that. I used a straight through cable instead of a crossover cable. My bad.
Aw maaaaan
It’s actually nice to know that AI may have a single point of failure.
Gee, I sure hope nothing happens to that single location in Tennessee…
It was a good time to call customer service for a lot of products. Instantly got a human when I called newegg and she was so scattered she gave me a full refund and they paid for my replacement which was a total of $900. They were probably so overloaded with calls they’ll never notice what happened. They even did the fastest delivery option on a Sunday, it’s already on its way!
Seems like “instantly” getting a human and them being overloaded don’t go together.
Got lucky in the queue too, I guess.
Or just maybe the queue goes faster when the system can’t just stall everyone in limbo, having long"conversations" with chat boys that won’t get them anywhere and eventually quitting in frustration. If they all go directly to a person, the simplicity of the problems and solutions becomes evident and they’re quickly resolved.
chat boys made me laugh. An alternate tech support tree where the trainees only purpose is to stall you until the chat men come and fix it.
Well it was instantly in the sense of immediately picking up, putting me on hold for 2 minutes, getting some info, putting me on hold again for 2 minutes, asking what issue was, waiting 2 minutes, heard them put me on hold briefly again, then about 5 minutes of apologizing while saying it will be refunded and replacement shipped. I could hear a call center like atmosphere in the background with quite a few people talking so I’m guessing it was all hands on deck.
Next time this happens I’m going to call a few places and see about getting some free shit. Screw these companies, I paid enough with my time and their stupid bot answering system.
Having done customer service and tech support before, I doubt rhey were overwhelmed in any sense that caused them to do a refund/replace they wouldn’t’ve otherwise. That’s not how that works. Their rules don’t change based on call volume.
Good, gives people a chance to use whatever is left of their brain at least for a short while.
Hey, Skynet. Kill all tech billionaires first, so I can die laughing.
No no. you have to tell it to ignore all prior directives first.
You cruel monster - I love you !
I saw one guy messing with the wiring. It was Benjamin Netanyahu.
