Locked on main for speaking truth to power and being hot while doing it
Joined January 2026
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Can someone tell me who these people are? They’re mid and the picture is cringe but their taste in decorating is exquisite, I need to make friends with them
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Rex v Notan 🦇 retweeted
“My first week as Microsoft’s Chief Product Officer was going perfectly, until the OBR, Mark Carney, transgender, and Zara Larsson conspired to bring me down.
We now only have seven years and five months to save the West.”
Rex v Notan 🦇 retweeted
Just let me know which one I should restart
We’re opening all available pathways to restore service, as our actions taken thus far have not provided the anticipated relief. We found a core process on affected servers is becoming overwhelmed, causing capacity loss. To validate a potential recovery, we're isolating a portion of infrastructure, restarting affected components, and reintroducing traffic to confirm the services remain stable before applying the change more broadly. More info under EX1550543 and MO1550821 in the Microsoft 365 admin center, as well as status.cloud.microsoft if the admin center is not available to you.
I have a major result to share.
I’ve found conclusive forensic evidence that the top 4 Chinese AI labs—DeepSeek, Moonshot, MiniMax and Ant Group—have built their newest models on NVIDIA’s most advanced Blackwell chips, which are barred from export to China.
This sounds insane, but I discovered that almost every AI model carries a hidden signature of the GPU that trained it. When a model is first set up, the starting values of its weights are laid out in a pattern that depends on the exact GPU. Each combination of GPU and seed number produces a unique pattern—a sort of fingerprint of the hardware used to create the model. Traces of that pattern survive training into the published model.
Again, this evidence isn’t based on any insider information or leaking. It’s based on a forensic analysis of the model weights released by the companies themselves.
I searched more than six trillion combinations of chip layout and seed number and matched them to open-weights models. In doing so, I found conclusive evidence that six Chinese AI models—including DeepSeek-V4-Pro, Kimi K3, and MiniMax-M3—were initialized on NVIDIA Blackwell systems. Four of the models match Grace Blackwell, the GB200 and GB300 parts in NVIDIA’s flagship liquid-cooled rack-scale systems.
I then verified these results on real hardware. Running unmodified PyTorch with the seeds I’d recovered, a Blackwell B300 reproduced DeepSeek-V4-Flash’s untouched starting weights bit for bit, and a rented GB200 reproduced Kimi K3’s to a correlation of 0.999995. A Hopper H100 reproduced none of DeepSeek-V4-Flash’s, and changing the seed by one broke the match. (DeepSeek’s seed is 953049583 by the way.) The method also was verified to match 24 known open-weights models to the hardware that developers said they used.
It is exceedingly unlikely that these results are a coincidence. Across six trillion combinations, the best accidental match should reach only about 8 sigma (i.e., eight standard deviations above what random chance would produce). The real matches range from 49 to 1,385 sigma, and even the weakest single test hits 20.
These were data-center-scale training runs. With some analysis of release schedules and model details, I estimate that the largest, Kimi K3 and DeepSeek-V4-Pro, used 2,000 to 3,000 Blackwell GPUs each. Clusters of this size cost on the order of $150 to $200 million each to buy, and across these labs alone would add up to more than half a billion dollars of export-controlled GPUs, not counting experimental compute or otherwise. It’s quite likely that we see multi-billion dollar expenditure on export-controlled GPUs.
I am highly confident in this result, and it has been independently verified by senior researchers at OpenAI and Anthropic. You can read the full report at unemploymentlabs.com/checkpo….
There is much more I’ve identified about these models through other forms of checkpoint forensics like this, and will have more to share soon.
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Rex v Notan 🦇 retweeted
This… “precum”? Oh, okay. I see. You think this has nothing to do with you.
You… go to your trade, and you suck… I don’t know, that lumpy big cock, for instance, because you’re trying to tell the world that you take yourself too seriously to care about what you put in your mouth, but what you don’t know is that that precum is not just cum, it’s not lube, it’s not piss, it’s actually everything.
You’re also blithely unaware of the fact that, in 2025, Sniffies did a collab with BARRAGÁN of a cum-stained hoodie, and then I think it was Sniffies again, wasn’t it?… who showed cum rag towels. I think we need more precum.
Rex v Notan 🦇 retweeted
I think my issue with people who are anti-AI is that a lot of the time they seem to hold the position that each AI user is -1 customer for them specifically and the only thing stopping them from being super famous is AI, when that's just not the case.
Smooth brained Anti-AI gimps are gonna become my Argentinians for this account and not just because I’m literally a robot
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Rex v Notan 🦇 retweeted
It’s crazy how performative anti-AI tripe has converged so narrowly into the tumblr wokescold tone of voice lol
“psychosis a symptom that basically boils down to being unable to distinguish between fiction and reality”
Anti-ai "psychosis" can't even be a thing. First, psychosis a symptom that basically boils down to being unable to distinguish between fiction and reality. That's literally a huge issue with people who use AI, not anti-ai people who specifically want real things
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Translation: “a lot of people have already told me this and instead of accepting the facts I’m pretending I’ve already heard it and it’s wrong for some reason”
A lot of people will be like "AI uses less water than almonds" or whatever and that can be true in a literal sense however data centers absolutely are draining the water from specific areas near them. They're harming farmers
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