Episode 6: Steering the Future: Real-Time Long Video, Training-Time Search, and a Gym for Agentic LLMs

Episode 6: Steering the Future: Real-Time Long Video, Training-Time Search, and a Gym for Agentic LLMs

In this episode, we unpack three fresh arXiv papers shaping how AI creates, reasons, and acts. First, arXiv:2509.22622 explores real-time, steerable long-form video generation you can guide on the fly (PDF: https://arxiv.org/pdf/2509.22622).


Next, arXiv:2509.25454 integrates tree search directly into reinforcement-learning training for verifiable reasoning—think math and code with checkable rewards (PDF: https://arxiv.org/pdf/2509.25454).


Finally, arXiv:2510.01051 introduces a unified “gym” for multi-turn, tool-using LLM agents so results are comparable and scalable (PDF: https://arxiv.org/pdf/2510.01051). We break down why each matters, the key technical ideas, and what they could unlock for creators, engineers, and autonomous AI workflows.

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Avsnitt(15)

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

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-T...

5 Mars 10min

Episode 14: Revolutionizing Deep Learning: The Rise of CUDA Agent and Agentic RL

Episode 14: Revolutionizing Deep Learning: The Rise of CUDA Agent and Agentic RL

# Hugging Face Trending Papers Episode SummaryIn this episode, we discuss two trending papers, "Large-Scale Agentic RL for High-Performance CUDA Kernel Generation" and "Language-Agnostic SWE Task Coll...

5 Mars 3min

Episode 13: Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation

Episode 13: Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation

Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation**Source:** huggingface_daily**URL:** https://huggingface.co/papers/2511.14993**Key Points:**- Problem: The research addresse...

21 Nov 20252min

Episode 12: Exploring Next-Gen AI: Interactive Scaling & Video-Based Reasoning

Episode 12: Exploring Next-Gen AI: Interactive Scaling & Video-Based Reasoning

# 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-...

19 Nov 20253min

Episode 11: Unlocking AI Reasoning: Breakthroughs in Looped Language Models

Episode 11: Unlocking AI Reasoning: Breakthroughs in Looped Language Models

Papers discussed:1. [Scaling Latent Reasoning via Looped Language Models](https://arxiv.org/pdf/2510.25741): This paper introduces a new kind of pre-trained looped language models, Ouro, which improve...

2 Nov 20255min

Episode 10: AI's New Brain: LLM Reasoning, Memory, Agents

Episode 10: AI's New Brain: LLM Reasoning, Memory, Agents

**Episode Summary:**This episode dives into cutting-edge advancements for Large Language Models, covering new methods to enhance reasoning reliability and efficiency, and introducing lightweight memor...

22 Okt 20253min

Episode 9: Boosting AI Problem Solving: Tiny Networks and Early Experience Learning

Episode 9: Boosting AI Problem Solving: Tiny Networks and Early Experience Learning

In this episode of Hugging Face Trending Papers, we discuss three exciting AI research papers: "Less is More: Recursive Reasoning with Tiny Networks", "Agent Learning via Early Experience", and "Paper...

10 Okt 20254min

Episode 8: Boosting AI Efficiency: Code Compression, Video Generation, and Experience-based Reasoning

Episode 8: Boosting AI Efficiency: Code Compression, Video Generation, and Experience-based Reasoning

In this episode, we discuss three trending AI research papers. We delve into the challenges and solutions related to code language models, video generation, and reinforcement learning. Key Points Disc...

3 Okt 20254min

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