AI Research Today
AI Research Today unpacks the latest advancements in artificial intelligence, one paper at a time. We go beyond abstracts and headlines, walking through architectures, experiments, training details, ablations, failure modes, and the implications for future work. Each episode will choose between one and three new, impactful research papers and go through them in depth. We will discuss the papers at the level of an industry practitioner or AI researcher. If you want to understand the newest topics in AI research but don't have the time to dig through the papers yourself, this is your solution.
Podcasting since 2025 • 6 episodes
AI Research Today
Latest Episodes
SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
Large Language Models often struggle with complex planning tasks that require exploration, backtracking, and self-correction. Once an LLM commits to an early mistake, its linear chain-of-thought reasoning makes recovery difficult. While search ...
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Season 1
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Episode 6
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28:43
Meta-RL Induces Exploration In Language Agents
Episode Paper: https://arxiv.org/pdf/2512.16848In this episode, we dive into a cutting-edge AI research breakthrough that tackles one of the biggest challenges in training in...
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Season 1
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Episode 5
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29:17
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
In this episode, we unpack DeepSearch, a new paradigm in reinforcement learning with verifiable rewards (RLVR) that aims to overcome one of the biggest bottlenecks in training reaso...
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Season 1
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Episode 4
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37:15