Mehdi Ouazza and Jacob Matson unpack Meta's reported $10B compute lease talks with Anthropic, why AI labs are becoming infrastructure customers, and what it means for data and AI builders. Then they get into graph-shaped context for agents, removing AI slop from writing, reproducible development environments, AMD's Anthropic bet, Domo's acquisition and the future of standalone BI, lakehouse vs. warehouse, leadership bottlenecks, tldraw's isRecord saga, and loop engineering.
EXPLAIN ANALYZE is the MotherDuck podcast where the hosts bring data and AI stories the others have not seen, then work through them together.
00:00 Welcome to EXPLAIN ANALYZE 01:02 Meta's potential $10B compute lease with Anthropic 04:13 Graph context for agents 10:23 Removing AI slop from writing 18:33 Why “it worked on my machine” still happens 25:45 AMD commits up to $5B to Anthropic 27:26 Domo acquired: the end of standalone BI? 31:29 Where data engineering is heading 33:15 Lakehouse vs. warehouse 37:30 Leadership becomes the bottleneck 41:10 tldraw and the isRecord saga 46:07 Loop engineering: goals, stop criteria, and timers 50:03 Thanks for watching
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