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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#
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Video AI has been reasoning over blurred and occluded footage while trusting every frame equally. This work tackles that blind spot. Title: Confidence-Aware Tool Orchestration for Robust Video Understanding URL: ❓ What's the problem? 💡 Video-LLMs implicitly assume every frame is equally reliable (the authors' "Blind Trust Problem"). When footage degrades from motion blur, glare, or occlusion, they fail to notice and lose 15-30 points on real-world benchmarks, while their self-reported confidence barely changes, a silent failure. ❓ How does Robust-TO solve it? 💡 It bakes per-frame trustworthiness into every reasoning stage. First, quality profiling scores blur, brightness, and occlusion to keep only reliable frames; then it decomposes the query into sub-queries routed to tools robust to the dominant corruption, and every tool returns a (result, confidence) pair. ❓ How is confidence used? 💡 Evidence is grouped into high/medium/low tiers. High drives the conclusion, medium is kept only when consistent, low is a fallback only, and any residual uncertainty is stated in the answer. It is trained with GRPO using a confidence-cost reward. ❓ How well does it work? 💡 56.4% average on clean video (+10.6pt over Gemini-2.5-Pro) and 54.3% under corruption (+5.8pt over the strongest open-source Video-R1). It also trims frames from 32 to 20.7, cutting inference time by over 35% while gaining +1.6pt accuracy. #VideoUnderstanding# #MultimodalAI#
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Grok Image Video 1.5 is ranked #3# among the top image-to-video AI models. AI video generation is moving fast. @elonmusk
Grok Imagine Video 1.5 is now a Top 3 Image-to-Video AI model. Another major milestone for xAI as Grok continues to compete with the very best in AI video generation. We're just getting started.
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Happy Birthday Elon Musk — (Video: AI) Today marks Elon Musk’s 55th birthday — the richest man in the world with a net worth hovering around trillionaire status (briefly surpassing $1 trillion after the SpaceX IPO and still dominating the list). From revolutionizing electric vehicles and reusable rockets at Tesla and SpaceX, to advancing AI at xAI, brain interfaces at Neuralink, and global connectivity with Starlink — plus bringing free speech back to social media on X and playing a pivotal role in getting Trump elected — his relentless drive continues to push humanity forward in incredible ways. On his birthday, true to form, he’s likely working on advancing the biggest challenges we face — because that’s who he is. Wishing him continued success, good health, and epic launches ahead. What’s one thing you’re most excited to see Elon and his teams accomplish next? 🎂🚀
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Zohran Mamdani Pushes Socialism as Democrat Future — (Video: AI) In today’s ABC “This Week” interview, New York City Mayor Zohran Mamdani laid out a clear radical vision for the Democratic Party. He calls for socialism to be its future, insisting his candidates offer a vision that “extends beyond the midterms, that extends beyond 2028.” When asked about making room in the party for mainstream and extreme views (including calls to abolish prisons and open borders), Mamdani defended the “big tent” — saying what makes the party “beautiful” is that it’s inclusive. Pressed on a candidate who called for abolishing prisons and open borders, he reframed it as a “politics of life.” When ABC noted most Americans won’t support abolishing prisons, Mamdani replied: “We can have disagreements on policy positions” and simply noted “There are prisons.” This AI video represents all of these views from today’s interview combined. This is the direction some Democrats are openly embracing: socialism, defunding the justice system, open borders, and a “big tent” big enough for the most extreme ideas. Do you think this is the future Democrats want voters to see?
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Sophie Cunningham’s viral pointing meme explained — (Video: AI) In a recent podcast interview, Fever guard Sophie Cunningham broke down the origin of her now-viral 22-second pointing staredown with DeWanna Bonner during a heated exchange in the Fever-Mercury game. It started after Caitlin Clark got a technical foul — Cunningham stepped in, pointed directly at Bonner, and held the intense stare as she was ushered away. “I was like, now Caitlin got one but why didn’t she get one?” Cunningham explained, defending her teammate and calling out inconsistent officiating in the moment. While Bonner and the Mercury got extremely triggered (as this AI video dramatizes with the emotional reactions and escalation), Cunningham and the Fever kept their cool and composure. The Cunningham clip exploded into countless memes, turning Cunningham into a WNBA internet sensation overnight. This kind of fire and personality is exactly what the league needs. What’s your favorite Sophie Cunningham pointing meme?
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Jon Ossoff Vows to Impeach President Trump If Reelected — (Video: AI) In a CNN interview with Manu Raju that aired today, Georgia Senator Jon Ossoff stated: “It is my view, looking at the facts, and the conduct and misconduct of this president that he has already engaged in gross misconduct that exceeds the standard previously set for the impeachment of any president.” He’s made it crystal clear: if Georgians reelect him to the Senate, he’ll push to impeach President Trump. This is what Democrat politicians are offering voters right now — impeachment theater and more socialism, instead of real solutions on the border, inflation, crime, or the economy. While Americans want results and unity, some in the opposition are still stuck in endless political revenge. Georgia voters — is this what you want for the next six years? What do you think Georgians should do in 2026?
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