4D chess of Iran Confict. Iran believes they will force Trump to give them a good deal before the elections Iran should know that if they don't make a deal until after Nov 3, they will have ZERO leverage. Trump understands this. So Iran has to figure out how to make a deal in Early October. Bookmark this.

A NATO RQ-4D Phoenix drone has conducted a night reconaissance flight over the Black Sea. The ISR drone is currently landing at Sigonella Air Base after flying for several hours.

When generating 4D worlds from video models, you never had to detour through RGB — a new method goes directly from latent space to 4D. Beyond Pixels: From Video Priors to 4D Worlds 🔍 Overview The conventional cascade — video generation → RGB decoding → 4D reconstruction — inherently loses geometric information at the RGB step and amplifies generator-specific artifacts. This work proposes "latent-to-4D generation," directly connecting final denoised video VAE latents to a 4D decoder without RGB decoding. 🛠 Problems Solved · Geometric information degrades during RGB decoding · Generator-specific noise propagates through RGB into 4D reconstruction · New generators require retraining the entire 4D module All three are bypassed by treating the VAE latent space as the direct interface to 4D synthesis. ⚙ Method Three components: · Alignment Module (𝒜ϕ): Trilinear resampling + 3D convolutions transform video latents into the 4D decoder's token space · L4AR Attention: Hierarchical frame-wise spatial alignment + global temporal attention across frames · 4D Decoder: Jointly predicts per-frame camera parameters (9D) and dense world-space point maps Only these three components are trained (rank-16 LoRA included). Video generators, VAE, and Transformers stay frozen, trained on ~1K annotated clips. 📊 Results DINO-F1 (text-to-4D): 57.01–57.09 (Ours) vs. 53.27–54.21 (cascade baseline). Image-to-4D: 61.60 vs. 55.79 — a 5.81-point improvement. Human evaluators preferred our geometry and completeness in 66.8–72.1% of comparisons. Robustness test at contamination ρ=0.6: point-map drift 0.0053 vs. 0.3827 baseline (71× more stable). 🌐 Generalization A single checkpoint works unchanged across Wan T2V at 14B and 1.3B, and Wan I2V — all sharing the same VAE. Motion, appearance, camera, and trajectory controls remain functional without any retraining. #4DGeneration# #VideoAI#

Tell him danka for making 3d and 4d and 5d chess. Ask star trek. He taught me more than you'll ever know. Like how you took that. Never again Now its all yours Wanna bet?