geo ppls

🚨BREAKING: ANTHROPIC JUST PULLED THE PLUG ON WINDSURF > Windsurf will be cut off direct API access to Claude in <5 days > 3.5 sonnet, 3.7 Sonnet 3.7 Sonnet Thinking > Windsurf never even got direct access to Claude 4 anyways ITS SO OVER.

Yaxel Lendeborg after going 1/13 shooting tonight in blowout loss to Spurs: “I was flustered the entire game. Couldn’t make a damn layup.” On facing Wembanyama: “We were all Just doing some weak ass floaters…I shot like seven of them. I don’t even work on floaters.” “He’s skinnier than me. I just got to go up there and put an elbow in his chest and jump into his body or something. If he blocks it, he blocks it. I can’t go up there scared.”

JUST IN: 🇺🇸 DHS says it is looking into new $875 million AI traffic control system that has been rolling out nationwide as potential reason for failures leading to ground stop.

12 yasimda bu klibi izlerken kadin gozume cok sisman? geliyordu,, suan bir daha izleyince ideal fizik aslinda mk

The Tribes of Texas Football 🤠 All in good fun 😉

🚨🚨INSANE🚨🚨 THE #CHIEFS HAVE A 150-FOOT-BELOW-GROUND SECRET UNDERGROUND BUNKER THAT MOST DO NOT KNOW ABOUT. The team stores a lot of their memorabilia and valuable assets in this tunnel. Travis Kelce & Pat Mahomes were shocked to learn about this 😳

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.

🎁 BREAKING: Kalshi is asking Philly restaurants to wager on the losing Eagles as a form of “insurance.” A bakery, BYOB, and deli each received DMs from Kalshi asking them to wager on the Eagles beating the Giants to cover the cost of giveaways. 🎁 link from @PhillyInquirer ⬇️