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
Pickswyx (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
PickSam 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