O TYM ODCINKU
Mike Bostock made D3 when the browser was still a joke. He built bl.ocks when people needed somewhere to share their work. Now he's building Observable — reactive notebooks with an AI that actually looks at what it made. In this episode: the three-GIF bar chart that launched 25 years of viz, why open source needs both intrinsic and extrinsic motivation, and why an agent that can't see its own output is likely to be confidently wrong.
What's Inside
- The 1998 visualization library that could only make bar charts
- Why D3 hit #3 on GitHub, and what killed the gallery
- What spreadsheets got right that notebooks ignored for years
- "The agent can lie with text, but not with code"
- Why Observable scrapped canvases and went back to notebooks
- The penguin dataset that exposes AI
- Strength training, tennis mind games, and a resurrected Stanford game
Język angielski
Stany Zjednoczone
TRANSKRYPCJA 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki The Test Set by Posit.
INNE ODCINKI W TYM PODCASCIE
Vincent Warmerdam has been the first full-time hire at a startup, a spacey punster who accidentally got himself a job, a bartender at an Amsterdam comedy theater, and a Dutch bike tour guide — and he'll tell you all of it was career development. Now doing DevRel at Marimo, Vincent makes the ca…
Benn Stancil built Mode Analytics, spent a decade in the data trenches, and now writes some of the sharpest, funniest essays in the data world. On The Test Set, he talks about the cultural shift from Nate Silver to Rick Rubin why AI might kill the analytics dashboard, and what happens when a thousa…
Alex Hillman built one of America's first co-working spaces, wrote a business book in tweets, and recently handed his inbox to a Claude Code agent — not to draft emails, but to notice when a friendship is going cold. In this episode, Alex, Michael, Wes, and Hadley dig into marketing for people…
Paige Bailey is a developer relations engineering lead at Google DeepMind. She's a geophysicist-turned-AI-engineer who was once told by her professors that building open-source libraries was a waste of time. We talk about her path from planetary science to TensorFlow, why statisticians have a …
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Posit, PBC, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
EDYTUJ
Dziękujemy za pomoc w aktualizowaniu podcastowej bazy danych.
