Are you telling me my tax dollars are being sent to rebuild all the shit that Pete Hegseth blew up also with my tax dollars

Convince me otherwise

The satellites show it all! Lines in the sky.. These aren't clouds.. This is the geoengineering programs & frequency working together to completely cover Portugal & The UK These programs are massive and global, that's why we rarely get natural weather anymore It needs to stop Many thanks to our friend @Sunset131038499 for sharing this video with us

This is crazy. Indian workers are training AI to do household chores. 🤯

New Preprint! arxiv.org/abs/2606.05346 Question: Are humans doing next-token generation like LLMs? One important source of behavioral evidence comes from surprisal: when LLMs are used to estimate how unexpected each word is in context, those surprisal values turn out to predict human reading times remarkably well. This convergence is consistent with the idea that humans, like LLMs, are running something like next-token prediction. But surprisal only captures the final probability distribution the model outputs. It tells us what the model concludes about the next word, not the rich sequential computation that produced that conclusion. If we want to test whether humans and LLMs share something deeper than convergent output statistics, we need a measure of what the model is doing inside. In this paper, I introduce trajectory extrapolation error: a measure that captures a model's internal representational geometry as it processes each word. Rather than asking what the model predicts, it asks how the model's internal state is moving, and how much each new word disrupts the trajectory it had established. I found that this measure independently predicts human reading times beyond surprisal, across multiple datasets and model architectures. Why this matters: trajectory extrapolation error gives us a window into the model's actual sequential processing, not just its output. The fact that this internal geometry tracks human reading behavior is much stronger evidence for human/LLM correspondence than surprisal alone could provide. More work is upcoming that shows trajectory extrapolation is a better predictor of brain activity during langauge processing too.

BIG PHARMA HAVE INFILTRATED THE FOOD SUPPLY. VACCINES BEING LACED INTO ALL U.S. PRODUCE! THEY'RE TURNING YOUR GROCERY STORE INTO A SECRET VACCINE CLINIC WITHOUT YOUR CONSENT! One head of lettuce? Fresh, clean, harmless. The next one from the same shelf? Loaded with hidden mRNA or polio shots designed to "immunize" you whether you want it or not. You bite into a crisp tomato thinking you're eating a salad and BAM surprise polio vaccine straight to your bloodstream. No consent. No choice. Just engineered obedience through your dinner plate. This is the endgame of control: mandatory vaccination by fork. They couldn't force it through your arm forever, so now it's in the fields, the irrigation systems, the very DNA of what we eat. DEMAND VACCINE LABELING ON ALL PRODUCE NOW! If it's got a shot in it, it needs a giant WARNING label: "May Contain Experimental Vaccines – Eat at Your Own Risk." Wake up, America. Boycott unlabeled food. Grow your own if you can. Spread this before they shut it down.

Listen close what he's saying