Episode 12: Exploring Next-Gen AI: Interactive Scaling & Video-Based Reasoning
from Hugging Face Trending Papers Hosted by Code Coin Cognition LLC
# Episode SummaryIn this episode of Hugging Face Trending Papers, we delve into the latest AI research with three top trending papers from arXiv. We explore MiroThinker's interaction scaling for open-source research agents, the new paradigm of "Thinking with Video" for multimodal reasoning, and Lumine's approach to building generalist AI agents for 3D open-world environments. # Mentioned Papers 1. ["MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling"](https://arxiv.org/pdf/2511.11793) - This paper presents MiroThinker, an open-source research agent that improves tool-augmented reasoning and information-seeking capabilities by focusing on efficient interaction scaling. 2. ["Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm"](https://arxiv.org/pdf/2511.04570) - The authors propose "Thinking with Video," a new paradigm that uses video generation models to bridge visual and textual reasoning, overcoming limitations of current "Thinking with Text" and "Thinking with Images" paradigms. 3. ["Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds"](https://arxiv.org/pdf/2511.08892) - Lumine introduces a recipe for developing AI agents capable of completing complex missions in 3D open-world environments, demonstrating strong zero-shot cross-game generalization.
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