AI Research Today
AaronAI 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... more
| Publishes | Twice monthly | Episodes | 7 | Founded | 3 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Science | |||
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Link to arxiv: arxiv.org/pdf/2602.04118
Large language models have recently shown impressive reasoning abilities, often learned through reinforcement learning and low-rank adaptation techniques like LoRA. But these approaches st... more
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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. Whi... more
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Episode Paper: arxiv.org/pdf/2512.16848
In this episode, we dive into a cutting-edge AI research breakthrough that tackles one of the biggest challenges in training intelligent agents: how to explore effectively. Standard rei... more
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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 reasoning-capable AI systems. Traditional reinforcement le... more
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In this episode we’re diving into “Transformer-Squared: Self-Adaptive LLMs” — a new framework for adapting large language models to unseen tasks on the fly by tuning only a small part of their weights. The central idea is Singular Val... more
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NL.pdf
In this episode, we dive into Nested Learning (NL) — a new framework that rethinks how neural networks learn, store information, and even modify themselves. While modern language models have made remarkable progress, fundamen... more
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What if AI agents could teach themselves? In this episode, we dive into AgentEvolver, a groundbreaking framework from Alibaba's Tongyi Lab that flips the script on how we train autonomous AI agents.
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Frequently Asked Questions About AI Research Today
What is AI Research Today about and what kind of topics does it cover?
Focusing on cutting-edge developments in artificial intelligence, the content provides thorough examinations of recent research papers. Each episode seeks to dissect between one to three impactful studies, highlighting their architectures, experimental methodologies, training details, and potential implications for the future of AI. The discussions are geared towards industry practitioners and AI researchers, making complex topics more digestible for audiences interested in the latest in AI without needing to delve into the original research themselves. An emphasis on practical applications and a critical evaluation of research findings often sets this content apart, offering listeners not just information but also insights into the evolvin... more
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AI Research Today launched 3 months ago and published 7 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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