AI Research Today

By Aaron

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Category: Science

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Episodes: 10

Description

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