Maligned - December 24, 2025

AI news without the BS

Here’s what actually matters in AI today. No fluff, no hype - just 5 developments worth your time.

Today’s Top 5 AI Developments

1. WorldWarp: Finally, Geometrically Consistent Video 🎥

Generating long, consistent videos has been a headache for generative AI. WorldWarp tackles this head-on by combining a 3D structural anchor (like Gaussian Splatting) with a 2D diffusion model, dynamically filling in gaps. This breakthrough ensures generated videos maintain geometric accuracy across complex camera moves and occlusions, fixing the annoying glitches and inconsistencies of older models.

Source: arXiv Link: https://arxiv.org/abs/2512.19678v1

2. Interact2Ar: Human Interactions Get Real 🕺💃

We’ve seen decent single-person motion, but generating full-body, multi-person interactions with realistic hands and reactive coordination? That’s a new level. Interact2Ar uses autoregressive diffusion to create incredibly lifelike human-human interactions, opening doors for much more convincing virtual characters, advanced simulations, and interactive environments.

Source: arXiv Link: https://arxiv.org/abs/2512.19692v1

3. PE-AV: A Unified Brain for Sight & Sound 👂👁️

Forget siloed vision and audio models. PE-AV introduces a new family of encoders that unify audio-video, audio-text, and video-text embeddings through massive contrastive learning. This breakthrough means AI can now understand the world through sound and sight simultaneously, setting new benchmarks for multimodal perception and potentially powering the next generation of truly context-aware AI.

Source: arXiv Link: https://arxiv.org/abs/2512.19687v1

4. GenEnv: AI Agents Level Up, Faster 🚀

Training capable AI agents is slow and expensive, often bottlenecked by static data. GenEnv flips the script by having agents co-evolve with generative environment simulators. This dynamic curriculum constantly adapts task difficulty to the agent’s current skill level, leading to significantly faster and more efficient training, without needing massive offline datasets. This is a big step for developing robust autonomous agents.

Source: arXiv Link: https://arxiv.org/abs/2512.19682v1

5. MRI Super-Resolution: Clinical AI Gets Efficient 🧠💨

High-resolution MRI is crucial for diagnosis but takes too long to acquire. New research presents an Efficient Vision Mamba framework that super-resolves MRI scans with superior accuracy and astounding efficiency. It slashes parameters by 99.8% and computation by 97.5% compared to previous SOTA, making high-quality AI-enhanced diagnostics far more practical and accessible in real clinical settings.

Source: arXiv Link: https://arxiv.org/abs/2512.19676v1

That’s it for today. Stay aligned. 🎯

Maligned - AI news without the BS