Emperor’s New Clothes

Pointing out the obvious

[Emperor’s New Clothes @SpatialLLM]

@NotPrimadonna @yunta_tsai @JeebsTX A Westerner would sooner die than be forced to learn Chinese. If these immigrants aren’t willing to do that then they are not on our side.

[Emperor’s New Clothes @SpatialLLM]

@1oveWolfgirl As a guess there is pressure build up from fluid and the miso helps drain it. Might be linked to sinuses or ear.

[Emperor’s New Clothes @SpatialLLM]

@A_Monarchist_ This is the big difference between America and Australia. Australian is British and Irish only.

[Emperor’s New Clothes @SpatialLLM]

@stfbutnou Loyalty and friendship with who? That might be the problem.

[Emperor’s New Clothes @SpatialLLM]

Impressive

[will depue @willdepue]

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 https://t.co/YOtzND0Jqk.

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.

[Emperor’s New Clothes @SpatialLLM]

@libertas_HH To better understand it, it was inevitable, and will only get worse. The problem is much deeper.

[Emperor’s New Clothes @SpatialLLM]

@NotLeighStewy That’s absurd. Multi-culturalism? More like Multi-replacement.

[Emperor’s New Clothes @SpatialLLM]

@Ausmaxx1 The Australian flag came from the flag for the Australasian Anti-Transportation League:

https://t.co/tw3H4YHbOO

[Emperor’s New Clothes @SpatialLLM]

@PTrubey @brivael Why did Jensen end up with a bad board?

[Emperor’s New Clothes @SpatialLLM]

@yunta_tsai @JeebsTX Why are you replying to an American in Chinese? If you can’t write English you should be fired and deported immediately.

[Emperor’s New Clothes @SpatialLLM]

How is this guy working for Tesla?

[Yun-Ta Tsai @yunta_tsai]

沒有當過華人移民相當難以理解來美國艱苦的奮鬥。我們被要求的比所有人都高，相對的需要國家的幫助比所有人都少。自給自足一直是從小被教育的理念，就算窮也不會上街乞討。

當美國斬殺所有成功創業者，最後淪落到去太平洋對岸討口飯吃的時候，就知道這是什麼滋味了。

笑著吧，趕快練習中文。時間不多了。

[Emperor’s New Clothes @SpatialLLM]

@yunta_tsai @JeebsTX Honestly you should be fired from an American company for saying that.

[Emperor’s New Clothes @SpatialLLM]

“The shroud of the dark side has fallen. Begun, the Clone War has.”

[ロアネア@最多情報源バズニュース @roaneatan]

バンクーバーの追悼パレードで、カナダの空軍カデットが中国人民解放軍にしか見えないと海外で話題

移民が多いとかのレベルじゃなく完全に乗っ取り完了って感じですごいな

[Emperor’s New Clothes @SpatialLLM]

@ZoomerHistorian Edginton has a dysgenic face.

[Emperor’s New Clothes @SpatialLLM]

Watch out for East Asians

[JS @JsSyd_]

今天发生在澳洲华人宇宙中心Chatswood的一幕，此人（貌似亚洲人）专挑女性动手，在步行街摊上已经砸了数家铺位，然后进入Westfield Shopping Centre开始发疯，最后被白人男子暴揍🉐十分解气。据目击者称，此人身上有刀。
今天另外一个报道，在下北区lane cove路边树丛里发现一具无头男尸，臭气熏天……
这就是澳洲现状，我上一贴吐槽澳洲经济被很多人骂，我很想再看看你们怎么说澳洲的治安？Chatwood和Lane Cove向来都是最安全区域之一！

[Emperor’s New Clothes @SpatialLLM]

@PPC4Liberty Multiculturalism ends up being ethnocide

[Australian Natives Association @AusNativesX]

On this day — 12 November 1894 — Lawrence Hargrave achieved his breakthrough box‑kite flight, proving that a man‑lifting, heavier‑than‑air machine was possible long before the Wright brothers made their famous powered flight in 1903.
Hargrave’s work at Stanwell Park demonstrated the principles of lift and stability that would underpin modern aviation. His pioneering designs and experiments earned him a place on Australia’s old $20 note, where his portrait appeared alongside his remarkable flying machines.

[Emperor’s New Clothes @SpatialLLM]

@Uncommonsince76 Steve Jobs loved Bob Dylan, which I think needs some explaining.

[Emperor’s New Clothes @SpatialLLM]

@attackdogX This was the motivation for the Civil War btw