Scotphre ⚡️

🚨 JUST IN: Effective immediately the Trump administration has hereby SUSPENDED ADOBE, MICROSOFT, Cognizant, Tata, Infosys, Wipro, HCL, and Capgemini from the Permanent Labor Certification Program They undercut American workers. THEY FAFO'D THIS. IS. MASSIVE. "Since 2009, just these companies alone have requested almost 3 million foreign workers. They've received over 230,000 H1B visas approvals and over 100,000 permanent labor certifications." "That's hundreds of thousands of jobs that were taken from American workers!" The age of AMERICA FIRST is ALIVE AND WELL right now A flurry of companies, including some of the biggest outsourcing giants on the planet. Tata, Infosys, Wipro, and HCL have been H1B pipelines for YEARS Without PERM, they can't sponsor foreign workers for green cards. The path to keep them here for good is SHUT! Vance, Stephen Miller, and IG D'Esposito are delivering exactly what Trump promised in 2024! HIRE AMERICAN, IT IS THAT SIMPLE 🇺🇸

🚨 JUST IN: Kyle Brennan, the son of disgraced Obama CIA Director John Brennan, has been ARRESTED by the FBI on a federal child p*rnography charge, per the Daily Mail WHAT A SICKO. Imagine that. 🤯 An FBI affidavit says agents found about 88 images of minor girls on his iPhone ‼️ Agents reportedly took the 40-year-old into custody at his workplace in Herndon, Virginia He faces a FELONY count of "transportation of child p*rnography" in the Eastern District of Virginia

🚨 BREAKING UPDATE: EXPLOSIVE REPORT – “VENEZUELA LIST” EXPLODES – Maduro Links 60 U.S. SENATORS to Multi-Million Bribe Allegations (FULL LIST & DOCUMENTS) Venezuelan Intel Chief Hugo Carvajal confesses from U.S. custody: Smartmatic was built for fraud, the CIA knew, and U.S. Senators were bought off by a narco-terror regime. Trump and Pete Hegseth launch a full-scale counteroffensive to destroy the Deep State from within. This is the Venezuela List. This is war. amg-news.com/breaking-explos…

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.

Deport every illegal, stop all fraud, and mandate voter ID and the Democrats will never win again! conservativebrief.com/justic…