964: In Case You Missed It in January 2026

episode

Previously titled “SDS 964: In Case You Missed It in January 2026” — renamed by the publisher on Aug 3, 2026

Super Data Science: ML & AI Podcast with Jon Krohn not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

NPR News: 09-22-2026 12PM EDT 5 min · 22 Sep 2026 · NPR News Now

12PM ET 09/22/2026 Newscast 3 min · 22 Sep 2026 · Fox News Hourly Update

Des Décisions Difficiles À Venir Pour Le Canadien | Le Sick Podcast Avec Tony Marinaro 22/09/26 1h 31m · 22 Sep 2026 · The Sick Podcast with Tony Marinaro / Le Sick Podcast avec Tony Marinaro

JTP: Bateman Hurt, 2027 Lookahead & Bisons’ Josh Winckowski 1h 39m · 22 Sep 2026 · Blue Jays Talk

ep 399 | What does a Fed hiking cycle mean for markets? 8 min · 22 Sep 2026 · On Point

Ep. 2065 - How They Legally Killed An 83-Year-Old Grandmother 46 min · 22 Sep 2026 · The Michael Knowles Show

Report any issue

Source

Recorded06 Feb 2026

Publisherfeeds.megaphone.fm

Handlerec:15773066

Show notes

In this first of the year ICYMI episode, Jon Krohn selects his favorite moments from January’s SuperDataScience interviews. Listen to why incentivizing workers is the best way to get them to disclose their use of AI tools and pave the way for an AI-forward future, how AI continues to mimic human development in its own evolution, the importance of evaluation in building AI systems, and how to keep your best employees (and also: how to know your value) with guests Sadie St. Lawrence, Ashwin Rajeeva, Sinan Ozdemir, Vijoy Pandey, and Ethan Mollick. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/964⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in