Specialist-model research desk

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What should a busy technical buyer listen to first?

Frontier Development research deskSection 07 · Page 1 of 13Last updated 26 October 2026

Start with evaluation if you cannot define success; start with serving economics if a credible candidate already exists. Listen for assumptions and trade-offs, then turn one useful idea into a test on your own workload.

This selection is based on publisher episode pages, show notes and available transcript passages. It is not a claim that every recording was watched or heard in full, and video playback was not tested. Four episodes are from the last 12 months; the 2024 evaluation conversation is retained as an explicitly dated foundation. All five come from one publisher, so this is a focused reading/listening route rather than a representative media survey.

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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.

  1. The Inference Engineering Masterclass — Philip Kiely and Ali Taha, Latent Space, 3 August 2026 →latent.space
  2. Production AI Engineering starts with Evals — Ankur Goyal, Latent Space, 11 October 2024 →latent.space
  3. Why AI Compute Comes in Rectangles — Erik Bernhardsson, Latent Space, 22 October 2026 →latent.space
  4. The Programmable Data Center — Evan Conrad, Latent Space, 20 October 2026 →latent.space
  5. Jev: System One models for Prod, not God — Diogo Almeida, Latent Space, 21 September 2026 →latent.space
  6. Why I couldn’t build Jev at OpenAI — Diogo Almeida — Latent Space video →www.youtube.com
  7. Why AI Compute Comes in Rectangles — Latent Space video →youtu.be