AI is relearning everything databases already knew ft. Stephanie Wang

AI is moving inside the database, and it keeps hitting problems databases already solved. Stephanie Wang (staff engineer at MongoDB, founding engineer at MotherDuck) joins Mehdi and Jacob Matson to dig into Snowflake's Cortex AISQL and why AI inside SQL is really a query-optimization and cost problem, the compute crunch pushing RAM and inference prices up, RadAgents and Sakana's Fugu model router, open weights vs open development, and the "elephant and goldfish" method for designing before you let AI write the code. All links and full show notes: https://motherduck.com/podcast 00:00 Intro and guest intro (Stephanie Wang) 01:35 Cortex AISQL: AI operations native to SQL 10:14 SpaceX rents out idle compute for AI inference 12:11 Compute is the new database engine for AI 13:43 DRAM price hikes and the margin squeeze 18:40 Local AI models and sandboxing agents 22:39 RadAgents: multi-agent reasoning for radiology 27:34 Sakana Fugu and dynamic model routing 30:12 Open weights vs open development 33:43 The elephant and goldfish: design before you code 42:07 MPP: machine-to-machine payments for agents 46:56 Wrap-up ➡️ Follow Us LinkedIn:   / motherduck   X/Twitter :   / motherduck   Blog: https://motherduck.com/blog/