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The boxes are getting checked, and these are the happiest of tears! 🥲
Friends, your support means the world to me. Thank you from the bottom of my heart. ❤️
@QueenzOfCrypto #USPTO
Friends, your support means the world to me. Thank you from the bottom of my heart. ❤️
@QueenzOfCrypto #USPTO
Just got X-verified! ✅
Our Queens of Crypto trademark cleared with no public disputes and was officially Approved for Allowance this month. ✅
Website is almost ready to launch.
After four years growing @ShibWomen… educating and supporting hundreds of women in Web3… and one year building @QueenzOfCrypto, we’re just getting started.
Join us as we keep expanding this mission. 👑
Please follow, share, and consider joining the community:
x.com/i/communities/…
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Yikes
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, lmost 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/checkpoint-for….
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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Jenn🛡️ retweeted
US JOBLESS CLAIMS RISE ABOVE EXPECTATIONS
Initial jobless claims climbed to 200,000, above the 195,000 forecast and up from a revised 191,000.
🔸 Initial claims: 200K vs. 195K expected
🔸 4-week average: 195,250, unchanged
🔸 Continuing claims: 1.697M vs. 1.710M expected
🔸 Insured unemployment rate: 1.1%, unchanged
Layoffs ticked higher, but declining continuing claims suggest the labor market remains relatively stable.
Initial jobless claims climbed to 200,000, above the 195,000 forecast and up from a revised 191,000.
🔸 Initial claims: 200K vs. 195K expected
🔸 4-week average: 195,250, unchanged
🔸 Continuing claims: 1.697M vs. 1.710M expected
🔸 Insured unemployment rate: 1.1%, unchanged
Layoffs ticked higher, but declining continuing claims suggest the labor market remains relatively stable.
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Jenn🛡️ retweeted
JUST IN: Colette Kress to replace Jensen Huang as Nvidia's $NVDA interim CEO.
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Jenn🛡️ retweeted
JUST IN: Nvidia $NVDA crashes 10% to $156 pre-market following CEO Jensen Huang resignation.
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Be scared, and do it anyway.
Be underqualified, and get in the room anyway.
Be messy, and imperfect, and unsure, and show up anyway.
Comfort is the enemy of growth.
Get uncomfortable.
5 𝑦𝘦𝑎𝘳𝑠 𝑜𝘧 𝘎𝑀𝘴 & 𝘎𝑁𝘴.
𝐶𝘛, 𝑦𝘰𝑢’𝑟𝘦 𝘢 𝘩𝑜𝘵 𝘮𝑒𝘴𝑠, 𝘣𝑢𝘵 𝘐 𝘭𝑜𝘷𝑒 𝑦𝘰𝑢 𝑎𝘯𝑦𝘸𝑎𝘺. ❤️
Be underqualified, and get in the room anyway.
Be messy, and imperfect, and unsure, and show up anyway.
Comfort is the enemy of growth.
Get uncomfortable.
5 𝑦𝘦𝑎𝘳𝑠 𝑜𝘧 𝘎𝑀𝘴 & 𝘎𝑁𝘴.
𝐶𝘛, 𝑦𝘰𝑢’𝑟𝘦 𝘢 𝘩𝑜𝘵 𝘮𝑒𝘴𝑠, 𝘣𝑢𝘵 𝘐 𝘭𝑜𝘷𝑒 𝑦𝘰𝑢 𝑎𝘯𝑦𝘸𝑎𝘺. ❤️
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Just say no to celeb coins (and children of celebs).
You will be 98% down soon & crying in the casino.
You will be 98% down soon & crying in the casino.
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Jenn🛡️ retweeted
To all the veterans out there, thank you for your service, your sacrifices, and everything you’ve done for this country. The freedoms we enjoy should never be taken for granted, nor should the men and women who have served to protect them. Happy Veterans Day.
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Real risk. But you don’t want me on the road without FSD. 😳 $TSLA
Wrote an article on an under-discussed AI threat. Every tool in history costs us skills. Cell phones took memory for numbers. GPS took our sense of direction. AI can take everything.
It's long, so I won’t be offended if you use AI to summarize this. 😉 x.com/i/article/2120…
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Jenn🛡️ retweeted
JUST IN: 🇮🇱 $150 billion Discount Bank to become the first Israeli bank to offer Bitcoin & Ethereum trading starting November 26.
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Jenn🛡️ retweeted
The most BEARISH signal for Bitcoin may come tonight.
At 11PM CET, MSCI may officially DELETE Strategy, $MSTR.
The world’s biggest corporate Bitcoin holder could lose its spot on the world’s top stock lists.
TRILLIONS of dollars from BIG investment funds automatically follow these lists.
If a stock is on the list, these funds must BUY it.
If it gets kicked off, they must SELL it.
MSCI’s new rules kick out companies that fail 4 of 5 tests showing they run a real business.
Strategy reportedly fails all 5.
Even Strategy itself expects to be removed.
If it happens, these funds will have to sell ~13 million $MSTR shares by Nov 30.
At Monday’s close of $121.07, that’s ~$1.6B in forced selling.
That’s ~60% of what the stock normally trades in a full day.
JPMorgan says the selling could reach -$2.8B, plus another -$8.8B if other big stock lists follow.
The stock has already fallen from $145.16 to $121.07 in just two weeks, a drop of ~17%.
This matters for Bitcoin because Strategy buys BTC by selling its own stock to investors.
A lower $MSTR price means less money for every share it sells.
And it gets WORSE.
Investors have always paid extra for $MSTR, valuing it above the Bitcoin it holds.
That "extra" is what lets Strategy sell new shares and turn the cash into more BTC.
In mid-October, it was down to just ~8%.
Once $MSTR is worth the same as its Bitcoin, selling new shares to buy more BTC stops making sense.
And if Strategy still needs cash to pay its bills, the next thing it can sell is its Bitcoin.
That’s 850,364 BTC, worth billions, sitting on the table.
From “never sell” to “need to sell.”
What a ride.
At 11PM CET, MSCI may officially DELETE Strategy, $MSTR.
The world’s biggest corporate Bitcoin holder could lose its spot on the world’s top stock lists.
TRILLIONS of dollars from BIG investment funds automatically follow these lists.
If a stock is on the list, these funds must BUY it.
If it gets kicked off, they must SELL it.
MSCI’s new rules kick out companies that fail 4 of 5 tests showing they run a real business.
Strategy reportedly fails all 5.
Even Strategy itself expects to be removed.
If it happens, these funds will have to sell ~13 million $MSTR shares by Nov 30.
At Monday’s close of $121.07, that’s ~$1.6B in forced selling.
That’s ~60% of what the stock normally trades in a full day.
JPMorgan says the selling could reach -$2.8B, plus another -$8.8B if other big stock lists follow.
The stock has already fallen from $145.16 to $121.07 in just two weeks, a drop of ~17%.
This matters for Bitcoin because Strategy buys BTC by selling its own stock to investors.
A lower $MSTR price means less money for every share it sells.
And it gets WORSE.
Investors have always paid extra for $MSTR, valuing it above the Bitcoin it holds.
That "extra" is what lets Strategy sell new shares and turn the cash into more BTC.
In mid-October, it was down to just ~8%.
Once $MSTR is worth the same as its Bitcoin, selling new shares to buy more BTC stops making sense.
And if Strategy still needs cash to pay its bills, the next thing it can sell is its Bitcoin.
That’s 850,364 BTC, worth billions, sitting on the table.
From “never sell” to “need to sell.”
What a ride.
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Jenn🛡️ retweeted
🔥 JUST IN: OKX and NYSE parent ICE plan to launch their tokenized stock platform on Nov. 23, with 70+ stock- and ETF-linked tokens planned, per Bloomberg.
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Jenn🛡️ retweeted
🇵🇾 INSIGHT: Ueno’s collapse exposed the fragility of digital banking in Paraguay, as customers scrambled for access to their money and stablecoins offered a lifeline.
ct.com/magazine/parag…
ct.com/magazine/parag…
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Jenn🛡️ retweeted
JUST IN: Goldman Sachs, Citigroup, Santander and Deutsche Bank commit $270 million to launch joint crypto stablecoin.
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Jenn🛡️ retweeted
JUST IN: 🇩🇪 Germany's largest bank Deutsche Bank officially rolls out crypto custody services.
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