In light of recent commonsense court rulings, ED is demanding CA and WA to revise their so-called “transgender” policies and come into compliance with federal law.

Today @KamalaHarris proposed commonsense ideas to keep our economy growing and working for all of us. She grew up middle class, and she understands what it takes to build an economy that lowers costs, creates jobs, and puts American workers and families first.

Sanctuary politicians RELEASE criminal illegal aliens from jail and put American lives at risk. Thank you to Douglas County for REJECTING Oregon’s insane sanctuary policies and reaffirming support for our commonsense efforts to REMOVE criminals from American streets.

Homeownership should be within reach for every American. That's why I was proud to support the bipartisan 21st Century ROAD to Housing Act. When Democrats and Republicans come together to pass commonsense legislation, even without the President's support, it shows we're putting the needs of the American people first.

For all they have done for our nation, and all they will continue to do, DACA recipients and their families deserve better. On the 10th anniversary of DACA, let's redouble our efforts to build a commonsense immigration system that offers these Americans a pathway to citizenship.

A new approach to physical world models — reason about "how the world changes" in language before generating any pixels. Title: PhiZero: A World Model Built Around Physical Language ❓ What is "Physical Language"? 💡 A discrete token sequence that directly represents state-transition patterns in a video — separate from visual appearance. Because dynamics and appearance are disentangled, the state transitions encoded from one video can be transferred to a completely different visual style. PhiZero's "Reason-then-render" paradigm predicts this physical language first, then generates video from it. ❓ Why did previous physical world models produce physically inconsistent results? 💡 They relied on direct pixel-space prediction, burying dynamics implicitly inside the model. Reconciling visual realism with physical consistency was difficult — leading to failures like a tennis ball hitting a rubber duck that doesn't react. The reasoning process was also opaque by design. ❓ What performance numbers did it achieve? 💡 State-of-the-art results across all six benchmarks: ・Physics-IQ IQ-Score: 41.2 (beats previous SOTA of 39.5) ・WorldModelBench: highest in physical compliance, commonsense, and overall score ・YoCausal causal reasoning: aggregated rank 2.0 (best) ・Tokenizer: just 256 tokens achieve PSNR 28.9 — 1/175th of Wan2.2-5B VAE's token count ❓ What does this mean for robotics and autonomous driving? 💡 Physical Language is appearance-agnostic, so zero-shot sim-to-real and human-to-robot transfer become possible. The team demonstrated encoding LIBERO simulation dynamics and replaying them as realistic video, and directly transferring human motion patterns to robot embodiments — all without task-specific training. #WorldModel# #EmbodiedAI#