Hosted by James Bentley · 🇺🇸 US · EN · 115 episodes
Established thought leaders with verified media credentials.
This 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 the subjects, but hopefully convey useful insights to spark further interest in AI related matters.
James Bentley hosts New Paradigm: AI Research Summaries, a technology show with 115 episodes published.
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
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
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 Can
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, S
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 Unive
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 fo
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 Univer
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 Zha
This episode analyzes the research paper titled "In-Context Learning of Representations," authored by Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, and Hid
This episode analyzes the research paper titled "Agent Laboratory: Using LLM Agents as Research Assistants," authored by Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu
This episode analyzes the research paper "Evolving Deeper LLM Thinking" by Kuang-Huei Lee, Ian Fischer, Yueh-Hua Wu, Dave Marwood, Shumeet Baluja, Dale Schuurmans, and Xinyun Chen from Google DeepMind, UC San Diego, and
This episode analyzes the study "Predicting Human Brain States with Transformer" conducted by Yifei Sun, Mariano Cabezas, Jiah Lee, Chenyu Wang, Wei Zhang, Fernando Calamante, and Jinglei Lv from the University of Sydney
This episode analyzes "DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning," a study conducted by Daya Guo and colleagues at DeepSeek-AI, published on January 22, 2025. The discussion focus
This episode analyzes the study "Titans: Learning to Memorize at Test Time" by Ali Behrouz, Peilin Zhong, and Vahab Mirrokni from Google Research. It examines the researchers' innovative approach to enhancing artificial
This episode analyzes the research paper titled **"Search-o1: Agentic Search-Enhanced Large Reasoning Models,"** authored by Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou, Yutao Zhu, Peitian Zhang, and Zh
This episode analyzes the research paper "TRANSFORMER2: SELF-ADAPTIVE LLM S" by Qi Sun, Edoardo Cetin, and Yujin Tang from Sakana AI and the Institute of Science Tokyo, published on January 14, 2025. It explores the deve
This episode analyzes "Transformer2: Self-Adaptive LLMs," a research paper by Qi Sun, Edoardo Cetin, and Yujin Tang from Sakana AI and the Institute of Science Tokyo, published on January 14, 2025. The piece explores the
This episode analyzes "OASIS: OpenAgent Social Interaction Simulations with One Million Agents," a research initiative conducted by a diverse team from institutions including the Shanghai Artificial Intelligence Laborato
This episode analyzes Rafid Mahmood's paper, "Pricing and Competition for Generative AI," authored by Mahmood from NVIDIA and the University of Ottawa, and published on November 4, 2024. It delves into the complexities o
This episode analyzes the research paper "**Compact Language Models via Pruning and Knowledge Distillation**" authored by Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwa
Michael Gerlich
Adaptability Thought Leader · Center for Strategic Corporate Foresight and Sustainability
1 appearance on this show
Nicholas Brown
Egyptologist · Black Estate
1 appearance on this show
Andrew Lee
Teaching fellow and Master of Fine Arts candidate · UK Health Security Agency
1 appearance on this show
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New Paradigm: AI Research Summaries is hosted by James Bentley. The show is categorised under technology and has published 115 episodes.
New Paradigm: AI Research Summaries has published 115 episodes.
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