EXPLAIN ANALYZE

MotherDuck

AI and data news, digested by veterans from the field. Less hype. More signal. Get all show notes here. Podcast by MotherDuck

Afleveringen

  1. 1 jul

    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: motherduck.com/explain-analyze 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

  2. 19 jun

    AI is turning all data viz into JavaScript ft. Yan Holtz

    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-analyze Yan's website : https://www.data-to-viz.com/ Yan's social : https://www.linkedin.com/in/yan-holtz-2477534a/ Chapters 00:00 Welcome + guest intro (Yan Holtz) 01:29 data-to-viz.com: choosing the right chart 07:58 BI is dead, long live BI: dashboards vs agents 17:09 ninejs: interactive ggplot2 charts in Python 20:01 Teaching an AI agent to make beautiful charts 29:20 D3.js: infinite flexibility, now AI-writable 36:24 Shiny: the right tool in the age of AI? 42:02 Token economics: data is token-hungry 46:33 Data visualization in the age of AI 49:37 Outro #DataViz #DataVisualization #D3js #JavaScript #BI #DuckDB #AI #MotherDuck #ExplainAnalyze

  3. 13 jun

    Data infra is printing money. Is it sustainable?

    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/motherduck X/Twitter : https://twitter.com/motherduck Blog: https://motherduck.com/blog/ 00:00 — Intro: who's on today 00:48 — Supabase's Series F: SaaS vs infrastructure 05:14 — Local AI: NVIDIA's chips for personal computers 09:28 — MondayDB 3: HTAP for a trillion-table system 14:10 — A DuckDB storage engine for MariaDB 18:14 — Anthropic: "data is not software" 24:12 — Delba on feedback loops and less agent babysitting 29:20 — Tristan Handy: I built a (very small) agent swarm 32:54 — Home-cooked apps: software just for you 38:01 — DoomBench: can your database run Doom? 40:41 — A C documentary: languages in the AI era 44:28 — Wrap-up

  4. 5 jun

    DuckDB breaks the lakehouse ? ft. Daniel Beach

    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 👋 Hosts Mehdi 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/motherduck X/Twitter : https://twitter.com/motherduck Blog: https://motherduck.com/blog/ 00:00 Cold open · who's on today 01:43 Catalog commits · Delta + Unity Catalog + DuckDB 10:46 Cloudflare unified data platform · Skipper agent 17:53 Education in the age of AI · language as interface 24:39 ADBC · the next-gen database connection 30:17 SoloTerm · the terminal in the browser 38:56 The orchestration tax · Addy Osmani 40:38 Mitchell Hashimoto · an agent in a loop 45:50 Databricks Zerobus · streaming into the lakehouse 47:06 Outro #DuckDB #DataEngineering #Lakehouse #DeltaLake #UnityCatalog #Cloudflare #AIagents #ApacheArrow #ADBC #MotherDuck

  5. 29 mei

    161k GitHub stars in 4 months with 65 lines of Markdown

    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

  6. 22 mei

    Bun Drops Zig, Claude Raises Prices & Is Vibe Coding Killing Open Source?

    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 Rewrite 03:10 The Shift from Zig to Rust in Bun 05:52 AI's Impact on Programming Languages 08:11 Database Optimization for AI Agents 10:44 The Role of Time Travel and Transactions in AI 13:40 Claude's Goal-Oriented Approach to AI 16:22 The Importance of Agency in Software Development 19:19 The Future of BI Tools and Customization 22:01 Codex Plugin for Cloud Code 25:10 The Convergence of AI Models 26:45 Navigating Vendor Lock-in 28:39 The Future of Pricing Models 29:53 HTML vs Markdown in Development 35:46 The Impact of AI on Open Source Contributions 41:13 The Future of Open Source in an AI World 49:47 Mental Health and AI Usage

  • 6 afleveringen

Info

AI and data news, digested by veterans from the field. Less hype. More signal. Get all show notes here. Podcast by MotherDuck

Informatie

  • Maker
    MotherDuck
  • Jaren actief
    2026
  • Afleveringen
    6
  • Beoordeling
    Veilig
  • Copyright
    © 2026 MotherDuck
  • Website van aflevering
    EXPLAIN ANALYZE
  • Provider

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