New Paradigm: AI Research Summaries
James BentleyThis podcast provides audio summaries of new Artificial Intelligence research papers. These summaries are AI generated, but every effort has been made by the creators of this podcast to ensure they are of the highest quality. As AI systems are prone to hallucinations, our recommendation is to always seek out the original source material. These summaries are only intended to provide an overview of ... more
| Publishes | Daily | Episodes | 115 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Category | Technology | ||||
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Latest Episodes
This episode analyzes the study "Competitive Programming with Large Reasoning Models," conducted by researchers from OpenAI, DeepSeek-R1, and Kimi k1.5. The research investigates the application of reinforcement learning to enhance the performance of... more
This episode analyzes the study "ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning," conducted by Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, and Yejin Choi from the University of Wa... more
This episode analyzes "s1: Simple test-time scaling," a research study conducted by Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candès, and Tatsunori Hashimoto f... more
This episode analyzes "AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking," a study conducted by Michael Gerlich at the Center for Strategic Corporate Foresight and Sustainability, SBS Swiss Business School. The ... more
This episode analyzes the "Multimodal Visualization-of-Thought" (MVoT) study conducted by Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulić, and Furu Wei from Microsoft Research, the University of Cambridge, and the Ch... more
This episode analyzes the research paper titled "Increased Compute Efficiency and the Diffusion of AI Capabilities," authored by Konstantin Pilz, Lennart Heim, and Nicholas Brown from Georgetown University, the Centre for the Governance of AI, and RA... more
This episode analyzes the research paper "Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs," authored by Yue Wang and colleagues from Tencent AI Lab, Soochow University, and Shanghai Jiao Tong University. The study investigates t... more
This episode analyzes the study "On the Overthinking of o1-Like Models" conducted by researchers Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Hai... more
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Frequently Asked Questions About New Paradigm: AI Research Summaries
What is New Paradigm: AI Research Summaries about and what kind of topics does it cover?
This audio series presents concise summaries of recent research papers in the field of artificial intelligence. Episodes scrutinize significant findings and methodologies, creating a bridge between complex academic content and accessible knowledge. By transforming dense research into digestible audio formats, listeners gain insights into various AI advancements and trends without needing to sift through numerous publications themselves. Unique aspects include a consistent focus on cutting-edge studies and the effort to maintain high-quality summaries, fostering engagement and curiosity among its audience regarding the ongoing evolution of AI technology.
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New Paradigm: AI Research Summaries launched 2 years ago and published 115 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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