AI Explained breaks down the world of AI in just 10 minutes. Get quick, clear insights into AI concepts and innovations, without any complicated math or jargon. Perfect for your commute or spare time, this podcast makes understanding AI easy, engaging, and fun—whether you're a beginner or tech enthusiast.

Large Language Model (LLM) Talk
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Podcast Overview
AI Explained breaks down the world of AI in just 10 minutes. Get quick, clear insights into AI concepts and innovations, without any complicated math or jargon. Perfect for your commute or spare time, this podcast makes understanding AI easy, engaging, and fun—whether you're a beginner or tech enthusiast.
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Publishing Since
1/13/2025
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Recent Episodes

January 21, 2026
Context Engineering
<p>Context engineering is the system-level discipline of architecting the dynamic information environment for AI models. Unlike prompt engineering, which focuses on phrasing specific instructions, context engineering programmatically assembles the model's "working memory" using retrieved data, tool outputs, and conversation history. It employs strategies like selection, compression, and ordering to manage token limits and prevent "context rot." By orchestrating how information is filtered and presented at runtime, context engineering ensures LLMs remain grounded and reliable for complex, long-horizon tasks, effectively serving as the operating system for agentic AI.</p>

January 19, 2026
Manus AI
Monica, developer of Manus AI, details its Planner-Executor architecture that allows the autonomous agent to orchestrate foundation models for complex tasks, showcasing its ability to manage long-horizon projects without human oversight.

July 22, 2025
Kimi K2
Kimi K2 utilizes a Mixture-of-Experts architecture and extensive training to deliver advanced reasoning, coding, and tool use at a lower cost, promoting accessibility and innovation in AI.
68 total episodes available with 44 transcripts
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