Podcasts/Reading paths

If you ship AI features in production

For engineers shipping AI in production rather than researching the next paper. Latent Space and Practical AI for the applied weekly cadence; TWIML AI for research depth when you want the author interview; MLOps Coffee Sessions for the platform engineering perspective.

01
Latent Space
Pick
swyx (Shawn Wang) · Alessio Fanelli
The technical AI engineering podcast, practitioners talking to practitioners.
Listen if you you ship LLM-powered features and need implementation-grade detail.
interviewweekly30–60m
02
Practical AI
Daniel Whitenack · Chris Benson
Applied AI engineering conversations, the right pitch for practitioners shipping AI in production rather than researchers publishing papers.
Listen if you you're a software engineer shipping AI features in production.
panelweekly30–60m
03
The TWIML AI Podcast
Pick
Sam Charrington
Deep-dive interviews with AI researchers and engineering leaders, longer-running and more academic than the LLM-shipping podcasts.
Listen if you you're an ML or AI engineer who reads papers and wants the author interview.
interviewweekly60m+
04
MLOps Coffee Sessions
Demetrios Brinkmann
The community podcast for ML platform engineers, with the loose conference-corridor energy that the topic actually has.
Listen if you you work on ML platforms, training infrastructure, or model deployment systems.
interviewweekly30–60m
05
No Priors
Sarah Guo · Elad Gil
Two AI investors interviewing the people building the AI era.
Listen if you you're building or investing at the application layer of AI.
interviewweekly30–60m