Why it matters
AI Engineer session on Dream Machine: Scaling to 1m users in 4 days, presented by Keegan McCallum, Luma AI. It adds practical context for how teams are building and operating AI systems in production.
My takeaway: Useful for AI engineering because it grounds model adoption in concrete developer workflow, tooling, and product tradeoffs.