- All five selections are from Latent Space; independent buyer voices and another publisher would broaden the evidence.
- Recordings were not played in full; summaries rely on publisher text and selected transcript content.
- Linked video playback and current regional availability were not tested.
Gaps for the next pass
Section source library
This page contains no direct external citations. These are the section’s references; they do not independently validate the desk’s proposed scoring or methods.
- The Inference Engineering Masterclass — Philip Kiely and Ali Taha, Latent Space, 3 August 2026 →latent.space
- Production AI Engineering starts with Evals — Ankur Goyal, Latent Space, 11 October 2024 →latent.space
- Why AI Compute Comes in Rectangles — Erik Bernhardsson, Latent Space, 22 October 2026 →latent.space
- The Programmable Data Center — Evan Conrad, Latent Space, 20 October 2026 →latent.space
- Jev: System One models for Prod, not God — Diogo Almeida, Latent Space, 21 September 2026 →latent.space
- Why I couldn’t build Jev at OpenAI — Diogo Almeida — Latent Space video →www.youtube.com
- Why AI Compute Comes in Rectangles — Latent Space video →youtu.be