Episode. 15: Real-Time AI: Video, Proactive LLMs & Text Structure

This episode explores groundbreaking AI research, featuring Helios, a real-time long video generation model; Proact-VL, a proactive VideoLLM for real-time AI companions; and T2S-Bench & Structure-of-Thought, a new benchmark and prompting technique for text-to-structure reasoning.

### Featured Papers* **Helios: Real Real-Time Long Video Generation Model** * **Key Insight:** Helios is the first 14B video generation model capable of real-time (19.5 FPS) minute-scale video generation on a single H100 GPU, achieving high quality by addressing long-video drifting and optimizing for efficiency. * **Paper Link:** [https://arxiv.org/pdf/2603.04379.pdf](https://arxiv.org/pdf/2603.04379.pdf)*

**Proact-VL: A Proactive VideoLLM for Real-Time AI Companions** * **Key Insight:** Proact-VL introduces a framework for creating proactive, real-time interactive AI companions, particularly for gaming scenarios like commentators and guides, by enabling low-latency inference and autonomous decision-making. * **Paper Link:** [https://arxiv.org/pdf/2603.03447.pdf](https://arxiv.org/pdf/2603.03447.pdf)*

**T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning** * **Key Insight:** This work introduces Structure-of-Thought, a prompting technique that guides models to construct intermediate text structures, and T2S-Bench, the first benchmark designed to evaluate and improve models' text-to-structure reasoning capabilities. * **Paper Link:** [https://arxiv.org/pdf/2603.03790.pdf](https://arxiv.org/pdf/2603.03790.pdf)