Your 70-Billion-Parameter Model Might Be 40% Wasted
LLMs Research Podcast host explores how large language models may waste 40% of their parameters by averaging noise instead of composing information, offering insights into efficient model design.
7 Feb 2026
Fixing Reasoning from Three Directions at Once
LLMs Research Podcast hosts explore three novel approaches—geometric, pipeline, and architectural—to enhance large language model reasoning by debugging current RL methods and improving memory and attention.
2 Feb 2026
Mamba's Memory Problem
LLMs Research Podcast host Dr. Alex Smith interviews AI researchers about Mamba's memory limitations and innovative solutions like Mixture of Memories and Log-Linear Attention.
31 Jan 2026
What ICLR 2026 Taught Us About Multi-Agent Failures
LLMs Research Podcast hosts explore five production problems in multi-agent systems and research offering concrete solutions, an interview episode.
24 Jan 2026
The Evolution of Long-Context LLMs: From 512 to 10M Tokens
Host Dr. Alex Smith explores the technical evolution of long-context LLMs, detailing innovations in attention mechanisms and positional encodings that enable processing millions of tokens.
24 Jan 2026
Jan 17–23, 2026: The Rise of the Action Layer
Host Dr. Michael Wu explores how multimodal AI is evolving from passive perception to active control, enabling new forms of agentic intelligence and interaction.
18 Jan 2026
From Transformers to Autonomous Agents: A Timeline of the Research That Got Us Here
Host Dr. Michael Wooldridge traces the research timeline from Transformers to autonomous agents, revealing the key papers that shaped today's AI systems.
17 Jan 2026
LLM Research Highlights: January 10th to 16th, 2026
Host Alex Smith interviews LLM researcher Dr. Jane Doe about January's key LLM research shifts towards practical deployment and solving real-world agentic system bottlenecks.
10 Jan 2026
LLM Research Highlights: January 2nd to 9th, 2026
Host [Host Name] interviews [Guest Name] about groundbreaking LLM research advancements in reasoning, inference efficiency, token collaboration, evaluation reliability, and alignment.
4 Jan 2026
LLM Research Highlights: December 27, 2025 – January 2, 2026
LLM Research Podcast hosts explore recent breakthroughs in Bayesian inference, model efficiency, state-of-the-art performance, and safety analysis within large language models.
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