))
AI Models Learn to Think Like Humans, Video Understanding Gets an Upgrade, and Math Olympiad Tests AI's Limits
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on March 29, 2025 10:04 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 474074597 series 3568650
เนื้อหาจัดทำโดย PocketPod เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก PocketPod หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
As artificial intelligence reaches new milestones in reasoning and video understanding, researchers are pushing the boundaries of what machines can comprehend - from solving complex math problems to understanding the physics of everyday situations. These developments signal a shift from AI that simply processes information to systems that can truly reason about the world, though the struggle with Olympic-level math problems reveals there's still a distinctly human edge in complex problem-solving. Links to all the papers we discussed: Video-R1: Reinforcing Video Reasoning in MLLMs, UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning, Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models, VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness, Large Language Model Agent: A Survey on Methodology, Applications and Challenges, LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis
…
continue reading
145 ตอน
แบ่งปัน
