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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.
| Episode | Date |
|---|---|
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OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation
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May 12, 2026 |
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GradMem: Teaching LLMs to Remember (Without Retraining)
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Apr 23, 2026 |
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Language Models are Injective and Hence Invertible
|
Mar 23, 2026 |
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Learning to Reason in 13 Parameters
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Feb 16, 2026 |
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SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
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Jan 26, 2026 |
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Meta-RL Induces Exploration In Language Agents
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Jan 12, 2026 |
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DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
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Dec 29, 2025 |
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Transformer-Squared: Self-Adaptive LLMs
|
Dec 11, 2025 |
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Nested Learning: The Illusion of Deep Learning Architectures
|
Dec 01, 2025 |
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AgentEvolver: An Autonomous Agent Framework
|
Nov 24, 2025 |