Maligned - December 06, 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. Neural Networks Share a “Universal Subspace” 🤯

New research suggests deep neural networks, regardless of task or initialization, converge to remarkably similar low-dimensional parametric subspaces. This breakthrough hints at a fundamental, shared structure in how models learn, potentially unlocking massive efficiencies for multi-task learning, model merging, and reducing compute waste.

Source: arXiv Link: https://arxiv.org/abs/2512.05117v1

2. LLMs Learn Better Long-Context Reasoning, No RL Needed 🧠

A novel self-distillation technique called Semantic Soft Bootstrapping dramatically improves long context reasoning in LLMs without the usual bottlenecks of reinforcement learning. By having the model self-correct and learn from its own “semantic context” of correct and incorrect outcomes, it achieves significant accuracy gains on complex reasoning tasks with less compute.

Source: arXiv Link: https://arxiv.org/abs/2512.05105v1

3. Robots Can Now Mimic Actions from Generated Videos 🤖🎬

A new pipeline called GenMimic enables humanoid robots to execute actions from noisy, AI-generated human videos in a zero-shot manner. This is a huge step toward using generative AI as high-level planners for real-world robot control, overcoming challenges of video noise and morphological distortions to achieve physically plausible movements.

Source: arXiv Link: https://arxiv.org/abs/2512.05094v1

4. Reward Models Get Smart with Agentic Tool Use 🛠️✅

Forget static reward models; ARM-Thinker introduces agentic multimodal reward models that can autonomously use external tools (like image cropping or document retrieval) to verify their judgments. This significantly enhances reliability and interpretability by grounding assessments in verifiable evidence, crucial for complex multimodal reasoning tasks.

Source: arXiv Link: https://arxiv.org/abs/2512.05111v1

5. AI That “Thinks in Words” for Better Video Generation 🗣️🎥

TV2TV, a unified generative framework, allows AI to “think in words” about what should happen next before generating video frames. By interleaving language and video generation, this model provides finer control and dramatically improves both visual quality and prompt alignment, pushing multimodal reasoning and controllable video synthesis forward.

Source: arXiv Link: https://arxiv.org/abs/2512.05103v1

That’s it for today. Stay aligned. 🎯

Maligned - AI news without the BS