EXPLAIN ANALYZE

Епизоди

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  The Safest Bet in AI Is Hardware ! 28.07.2026 50мин

  Is the safest bet in AI the hardware underneath it?Show notes: https://motherduck.com/explain-analyzeMehdi 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 ANALYZE01:02 Meta's potential $10B compute lease with Anthropic04:13 Graph context for agents10:23 Removing AI slop from writing18:33 Why “it worked on my machine” still happens25:45 AMD commits up to $5B to Anthropic27:26 Domo acquired: the end of standalone BI?31:29 Where data engineering is heading33:15 Lakehouse vs. warehouse37:30 Leadership becomes the bottleneck41:10 tldraw and the isRecord saga46:07 Loop engineering: goals, stop criteria, and timers50:03 Thanks for watching
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  AI is relearning everything databases already knew ft. Stephanie Wang 01.07.2026 47мин

  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: motherduck.com/explain-analyze00:00 Intro and guest intro (Stephanie Wang)01:35 Cortex AISQL: AI operations native to SQL10:14 SpaceX rents out idle compute for AI inference12:11 Compute is the new database engine for AI13:43 DRAM price hikes and the margin squeeze18:40 Local AI models and sandboxing agents22:39 RadAgents: multi-agent reasoning for radiology27:34 Sakana Fugu and dynamic model routing30:12 Open weights vs open development33:43 The elephant and goldfish: design before you code42:07 MPP: machine-to-machine payments for agents46:56 Wrap-up
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  AI is turning all data viz into JavaScript ft. Yan Holtz 19.06.2026 49мин

  Yan Holtz, the data viz educator behind data-to-viz.com and the R/Python/D3 graph galleries, joins Mehdi and Alex for a full episode on data visualization in the age of AI.AI has basically solved the "how do I write the code" problem, which makes the "what makes a good chart" problem matter more than ever - and it's quietly pushing all serious data viz toward JavaScript and D3, even for R and Python people. We get into picking the right chart before writing a line of code, whether dashboards are dying in favor of agents, why D3.js went from the hardest tool to the default, an agent that grades its own charts against the Tufte test, why Shiny and Streamlit may no longer be the right call, the token cost of data work, and whether a chat box is even the right tool to design a visualization.Subscribe + all links: motherduck.com/explain-analyzeYan's website : https://www.data-to-viz.com/Yan's social : https://www.linkedin.com/in/yan-holtz-2477534a/Chapters00:00 Welcome + guest intro (Yan Holtz)01:29 data-to-viz.com: choosing the right chart07:58 BI is dead, long live BI: dashboards vs agents17:09 ninejs: interactive ggplot2 charts in Python20:01 Teaching an AI agent to make beautiful charts29:20 D3.js: infinite flexibility, now AI-writable36:24 Shiny: the right tool in the age of AI?42:02 Token economics: data is token-hungry46:33 Data visualization in the age of AI49:37 Outro#DataViz #DataVisualization #D3js #JavaScript #BI #DuckDB #AI #MotherDuck #ExplainAnalyze
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  Data infra is printing money. Is it sustainable? 13.06.2026 45мин

  Infrastructure keeps winning the funding while SaaS bleeds — but is it sustainable when AI agents spin up databases that die in days? Mehdi and Jacob Matson dig into Supabase's Series F, local AI on personal chips, DuckDB turning up everywhere (MariaDB, MondayDB HTAP), Anthropic's "data is not software" claim, and a wave of people building software just for themselves.Show notes & links : https://motherduck.com/explain-analyze➡️ Follow Us LinkedIn: https://linkedin.com/company/motherduckX/Twitter : https://twitter.com/motherduckBlog: https://motherduck.com/blog/00:00 — Intro: who's on today00:48 — Supabase's Series F: SaaS vs infrastructure05:14 — Local AI: NVIDIA's chips for personal computers09:28 — MondayDB 3: HTAP for a trillion-table system14:10 — A DuckDB storage engine for MariaDB18:14 — Anthropic: "data is not software"24:12 — Delba on feedback loops and less agent babysitting29:20 — Tristan Handy: I built a (very small) agent swarm32:54 — Home-cooked apps: software just for you38:01 — DoomBench: can your database run Doom?40:41 — A C documentary: languages in the AI era44:28 — Wrap-up
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  DuckDB breaks the lakehouse ? ft. Daniel Beach 05.06.2026 47мин

  Daniel Beach (Data Engineering Central) joins Mehdi and Dumky for a tour through the open lakehouse renaissance, AI-native data agents, and the slow grind of getting humans out of the orchestration loop.We cover the catalog commits feature in Delta + Unity Catalog + DuckDB (multi-writer lakehouse without Spark), Cloudflare's new unified data platform and their AI agent Skipper, ADBC quietly replacing JDBC/ODBC, Aaron Francis launching SoloTerm, Addy Osmani on the orchestration tax, Mitchell Hashimoto getting a 40x speedup with an agent in a loop.Subscribe + all links: motherduck.com/explain-analyze👋 HostsMehdi Ouazza —  @mehdio  Dumky de Wilde Guest: Daniel Beach (Data Engineering Central) —  @dataengineeringdan  Check out Daniel Beach's work on https://dataengineeringcentral.substack.com/➡️ Follow Us LinkedIn: https://linkedin.com/company/motherduckX/Twitter : https://twitter.com/motherduckBlog: https://motherduck.com/blog/00:00 Cold open · who's on today01:43 Catalog commits · Delta + Unity Catalog + DuckDB10:46 Cloudflare unified data platform · Skipper agent17:53 Education in the age of AI · language as interface24:39 ADBC · the next-gen database connection30:17 SoloTerm · the terminal in the browser38:56 The orchestration tax · Addy Osmani40:38 Mitchell Hashimoto · an agent in a loop45:50 Databricks Zerobus · streaming into the lakehouse47:06 Outro#DuckDB #DataEngineering #Lakehouse #DeltaLake #UnityCatalog #Cloudflare #AIagents #ApacheArrow #ADBC #MotherDuck
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  161k GitHub stars in 4 months with 65 lines of Markdown 29.05.2026 52мин

  Mehdi (DevRel) and Dumky (Developer Experience) at MotherDuck run through ~10 links from the world of data and AI. This one keeps circling back to a single theme: as AI makes everything easier to produce, the hard part becomes telling the real signal from the slop, whether that's music, GitHub stars, or your data warehouse answers.All links: motherduck.com/explain-analyze : subscribe there to get every new episode by email with full notes!0:00 — Intro0:43 — AI slop on Spotify?6:00 — A skill file with 161k GitHub stars11:30 — Up and Down the Ladder of Abstraction17:00 — GitHub Actions are the new email scam24:00 — The chat box is dying30:00 — Slow tech: Kindle, TRMNL, Fitbit37:00 — From Vibes to Evals43:00 — The AI paradox (via Lenny's Podcast)51:40 — Wrap up
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  Bun Drops Zig, Claude Raises Prices & Is Vibe Coding Killing Open Source? 22.05.2026 55мин

  First episode. Bun ditches Zig for Rust, Anthropic pulls the rug on pricing, agents are rewriting how databases work, and open source maintainers are drowning. Mehdi and Alex pick apart the AI tooling wars and why your brain feels fried.Show notes : https://motherduck.com/explain-analyze/00:00 Introduction to the Podcast and Bun's Rewrite03:10 The Shift from Zig to Rust in Bun05:52 AI's Impact on Programming Languages08:11 Database Optimization for AI Agents10:44 The Role of Time Travel and Transactions in AI13:40 Claude's Goal-Oriented Approach to AI16:22 The Importance of Agency in Software Development19:19 The Future of BI Tools and Customization22:01 Codex Plugin for Cloud Code25:10 The Convergence of AI Models26:45 Navigating Vendor Lock-in28:39 The Future of Pricing Models29:53 HTML vs Markdown in Development35:46 The Impact of AI on Open Source Contributions41:13 The Future of Open Source in an AI World49:47 Mental Health and AI Usage