Uploaded February 2026 | Updated September 2026, 2 weeks ago
This talk covers computation augmented generation (CAG) and its role in AI products. Rick Hennigan differentiates CAG from retrieval augmented generation, focusing on how it automatically retrieves relevant information for large language models (LLMs). The introduction of Agent One, an LLM API, simplifies integration. The MCP standard is discussed for connecting applications to services. The session emphasizes understanding LLM capabilities, especially in coding, and concludes with a Q&A on CAG and MCP.
This talk covers computation augmented generation (CAG) and its role in AI products. Rick Hennigan differentiates CAG from retrieval augmented generation, focusing on how it automatically retrieves relevant information for large language models (LLMs). The introduction of Agent One, an LLM API, simplifies integration. The MCP standard is discussed for connecting applications to services. The session emphasizes understanding LLM capabilities, especially in coding, and concludes with a Q&A on CAG and MCP.
![Mathematical Games Hosted by Ed Pegg Jr. [Episode 38: Games with Markov Chains or Intransitivity]](https://i.ytimg.com/vi/zXE1nj0baQA/mqdefault.jpg "Mathematical Games Hosted by Ed Pegg Jr. [Episode 38: Games with Markov Chains or Intransitivity]
Join Ed Pegg Jr. as he explores mathematical games and puzzles.
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