درباره این اپیزود
Meta's Muse Spark Open brings open weights, a 1M-token context window, and explicit tool-calling tuning to the repo-scale coding agent conversation. This episode treats it as a build-vs-buy decision: what to test, how to pin hardware and runtime, and why independent benchmarks matter before production adoption.
Keywords: Meta Muse Spark Open, open-weight model, 1M-token context, tool calling, repo-scale coding agents, self-hosted AI, agentic coding, GB300 NVL72, Agentic Stack
Disclaimer: The views and opinions expressed on The Agentic Stack are solely those of the author and do not represent or reflect the opinions, views, or positions of any individual, company, or organization with which the author is affiliated. This podcast is provided for informational purposes only. Portions of this podcast were produced with the assistance of artificial intelligence.
