himdev

artist formerly known as himmy

[himdev @FirstCoinLaunch]

How have we not bonded this

Google already has a result for the word "Huanged"

He has cracked so many of his employees that they're already calling it getting huanged

https://t.co/lZeyOWA4yN

[R A W S A L E R T S @rawsalerts]

🚨 #BREAKING: Rumors of Jensen Huang having a fourth affair begin to swirl.

[himdev @FirstCoinLaunch]

@DanielKuhn77510

[himdev @FirstCoinLaunch]

@willdepue @dnnssl2 made a memecoin based on your findings

you have fees adding up for you

you can claim them via your github

[himdev @FirstCoinLaunch]

This already has a million views in an hour

He proved that Chinese models were trained on the best NVDA chips

This is a huge discovery and means Jensen could potentially be jailed or a deep Chinese operation we didn't know about

Dog is Gou in chinese

Fees to his github

[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.

[himdev @FirstCoinLaunch]

@captain__crunch why would you larp about the nasdaq thing lmao

[himdev @FirstCoinLaunch]

THE SLOP OF ALL SLOPS

https://t.co/wz1gm07hMd

[himdev @FirstCoinLaunch]

Memecoins have 3 catalysts lately

It's one of 3 things

Jensen, Elon, or Trump

Therefore I am deploying the ultimate slop to create the ultimate runner

solana:BhMNZtBDSvG38oMRBJqoxLVzWr7Wfs4tWaW8wM69pump

[himdev @FirstCoinLaunch]

4kyRFfvF1HrWJTa4XgS5LBoDvMWx1kMvwBjXaU4upump

[himdev @FirstCoinLaunch]

Cstja37KbAhErYc5kJEaV1q8vxPXXdT2GhKG3EoVpump

[himdev @FirstCoinLaunch]

I have an idea now that we can use 20 images in one tweet

I am creating an Army

Imagine commenting 20 pictures of the army on every single post, recruiting members one by one

We can flood CT with the army and take over

$army

[Buzzing Pop @BuzzingPop]

X/Twitter now allows users to post up to 20 images in a single post, instead of four.

[himdev @FirstCoinLaunch]

JOIN THE ARMY

[himdev @FirstCoinLaunch]

Cm8QaVycJbkcMH489jqdWSTSTL3dDvfpbCB5VRedpump

[himdev @FirstCoinLaunch]

Jensen is 63 years old

None of this is possible without Viagra

The logo is also the same exact shape as a viagra pill lmao

$NVIAGRA

[himdev @FirstCoinLaunch]

@Turbodev1x SPAM THE CAT

[himdev @FirstCoinLaunch]

this is actually a good account but shouldnt be paired to a coin at 35k

the bike tyson of dogs

the dogs name is kim mani

https://t.co/OVAIxZ9Xvu

[blankface ( chicken shrimp dev ) @imblankface]

new brainrot dog going viral named Kim Mani INSANELY VIRAL

JUST STRAIGHT brainrot

each post getting over 1mil likes

https://t.co/r9c585AHCh

[himdev @FirstCoinLaunch]

@yerofreyarc og

solana:2V2WnQzqQ3yNaRPjQTjPqLDD79uMAFphBcMgVFcE5G6d

5bGiBRposZYweoAy2A5BzhwM18wAvjLPrDWweHrDpump

[himdev @FirstCoinLaunch]

or should i say it was never the Black Swan

[himdev @FirstCoinLaunch]

Asians are called Yellow

Jensen created the Swan event to nuke the markets and NVDA

It was never the Yellow Swan

The Yellow Swan

Not paired because he's gone

[himdev @FirstCoinLaunch]

G52NFgcJonZCgpGCJLvJiEjK9LESApF8cSNfwkQ9pump