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AI Breakdown

@agi_breakdown

Podcast by Megan Maghami and Ramin (Ray) Mehran to breakdown AI papers in 3 minute episodes. https://xitter.gq/t.co/GwoR3XZSuT https://xitter.gq/t.co/4yOTs7GkZM

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aibreakdown.org
Joined May 2023
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Mathematical exploration and discovery at scale podbean.com/eas/pb-a8ujg-19b…
Mathematical exploration and discovery at scale

Mathematical exploration and discovery at scale

In this episode, we discuss Mathematical exploration and discovery at scale by Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, Adam Zsolt Wagner. AlphaEvolve is an evolutionary coding agent that...

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AI Breakdown retweeted
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Jeff Dean
@JeffDean12 Nov 2025
Exciting expansion! @Waymo now serves the whole SF Bay Area Peninsula from SF to San Jose and is taking riders on freeways. waymo.com/blog/2025/11/takin…
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Kosmos: An AI Scientist for Autonomous Discovery podbean.com/eas/pb-58chw-19b…
Kosmos: An AI Scientist for Autonomous Discovery

Kosmos: An AI Scientist for Autonomous Discovery

In this episode, we discuss Kosmos: An AI Scientist for Autonomous Discovery by Ludovico Mitchener, Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari, Eric C. Landsness,...

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World Simulation with Video Foundation Models for Physical AI podbean.com/eas/pb-4cnpg-19b…
World Simulation with Video Foundation Models for Physical AI

World Simulation with Video Foundation Models for Physical AI

In this episode, we discuss World Simulation with Video Foundation Models for Physical AI by NVIDIA, :, Arslan Ali, Junjie Bai, Maciej Bala, Yogesh Balaji, Aaron Blakeman, Tiffany Cai, Jiaxin Cao,...

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Towards Robust Mathematical Reasoning podbean.com/eas/pb-kva87-19b…
Towards Robust Mathematical Reasoning

Towards Robust Mathematical Reasoning

In this episode, we discuss Towards Robust Mathematical Reasoning by Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee,...

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ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models podbean.com/eas/pb-8c48w-19b…
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries...

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries...

In this episode, we discuss ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models by Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan...

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Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models podbean.com/eas/pb-bjcif-19a…
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for...

Roboflow100-VL: A Multi-Domain Object Detection Benchmark for...

In this episode, we discuss Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models by Peter Robicheaux, Matvei Popov, Anish Madan, Isaac Robinson, Joseph Nelson, Deva...

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ImpossibleBench: Measuring LLMs’ Propensity of Exploiting Test Cases podbean.com/eas/pb-hm9vk-19a…
ImpossibleBench: Measuring LLMs’ Propensity of Exploiting Test Cases

ImpossibleBench: Measuring LLMs’ Propensity of Exploiting Test Cases

In this episode, we discuss ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases by Ziqian Zhong, Aditi Raghunathan, Nicholas Carlini. The paper introduces ImpossibleBench, a benchm...

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Reasoning with Sampling: Your Base Model is Smarter Than You Think podbean.com/eas/pb-prske-199…
Reasoning with Sampling: Your Base Model is Smarter Than You Think

Reasoning with Sampling: Your Base Model is Smarter Than You Think

In this episode, we discuss Reasoning with Sampling: Your Base Model is Smarter Than You Think by Aayush Karan, Yilun Du. The paper proposes a novel iterative sampling algorithm based on Markov chain...

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DeepSeek-OCR: Contexts Optical Compression podbean.com/eas/pb-h2feq-199…
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Reverse-Engineered Reasoning for Open-Ended Generation podbean.com/eas/pb-xhbdj-196…
Reverse-Engineered Reasoning for Open-Ended Generation

Reverse-Engineered Reasoning for Open-Ended Generation

In this episode, we discuss Reverse-Engineered Reasoning for Open-Ended Generation by Haozhe Wang, Haoran Que, Qixin Xu, Minghao Liu, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Wei Ye, Tong Yang,...

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Scaling Performance of Large Language Model Pretraining podbean.com/eas/pb-8iq25-196…
Scaling Performance of Large Language Model Pretraining

Scaling Performance of Large Language Model Pretraining

In this episode, we discuss Scaling Performance of Large Language Model Pretraining by Alexander Interrante-Grant, Carla Varela-Rosa, Suhaas Narayan, Chris Connelly, Albert Reuther. The paper...

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Arxiv paper - MMaDA: Multimodal Large Diffusion Language Models podbean.com/eas/pb-8u64c-18c…
Arxiv paper - MMaDA: Multimodal Large Diffusion Language Models

Arxiv paper - MMaDA: Multimodal Large Diffusion Language Models

In this episode, we discuss MMaDA: Multimodal Large Diffusion Language Models by Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang. MMaDA is a unified multimodal diffus...

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Arxiv paper - A Preliminary Study for GPT-4o on Image Restoration podbean.com/eas/pb-izpkp-18a…
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Arxiv paper - DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion podbean.com/eas/pb-dh29q-18a…
Arxiv paper - DiffusionSfM: Predicting Structure and Motion via Ray...

Arxiv paper - DiffusionSfM: Predicting Structure and Motion via Ray...

In this episode, we discuss DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion by Qitao Zhao, Amy Lin, Jeff Tan, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani. The...

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Arxiv paper - RayZer: A Self-supervised Large View Synthesis Model podbean.com/eas/pb-yw7cq-18a…
Arxiv paper - RayZer: A Self-supervised Large View Synthesis Model

Arxiv paper - RayZer: A Self-supervised Large View Synthesis Model

In this episode, we discuss RayZer: A Self-supervised Large View Synthesis Model by Hanwen Jiang, Hao Tan, Peng Wang, Haian Jin, Yue Zhao, Sai Bi, Kai Zhang, Fujun Luan, Kalyan Sunkavalli, Qixing...

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Arxiv paper - MCNC: MANIFOLD-CONSTRAINED REPARAMETERIZATION FOR NEURAL COMPRESSION podbean.com/eas/pb-34tdd-189…
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Arxiv paper - EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise podbean.com/eas/pb-ide6v-188…
Arxiv paper - EquiVDM: Equivariant Video Diffusion Models with...

Arxiv paper - EquiVDM: Equivariant Video Diffusion Models with...

In this episode, we discuss EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise by The authors of the paper are: - **Chao Liu** - **Arash Vahdat**. The paper presents a video...

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Arxiv paper - TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning podbean.com/eas/pb-wsuje-188…
Arxiv paper - TinyLLaVA-Video-R1: Towards Smaller LMMs for Video...

Arxiv paper - TinyLLaVA-Video-R1: Towards Smaller LMMs for Video...

In this episode, we discuss TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning by Xingjian Zhang, Siwei Wen, Wenjun Wu, Lei Huang. The paper introduces TinyLLaVA-Video-R1, a small-scale...

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Arxiv paper - Reasoning Models Don’t Always Say What They Think podbean.com/eas/pb-rbu8d-187…
Arxiv paper - Reasoning Models Don’t Always Say What They Think

Arxiv paper - Reasoning Models Don’t Always Say What They Think

In this episode, we discuss Reasoning Models Don’t Always Say What They Think by The authors of the paper "Reasoning Models Don’t Always Say What They Think" are: 1. Yanda Chen 2. Joe Benton 3. Ansh...

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