Pastime | Episode
Pastime

Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI

Latent Space: The AI Engineer Podcast | Sep 21 2026 | 02:20:53

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We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.

In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we’ll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:

* the official patterns and cookbooks you should see first, from Allie

* Jev usecases

* speed based - games and computer use

* the voice + computer use example we discuss at 1h34 mins

* voice + browser control

* The must not miss Doom demo

* Driving cars in games

* Excalidraw

* virtual try-ons

* “Smart Games”/smart NPCs

* guided responses in text messages

* Jev for coding agents has an official guide

* jev for linting

* compacting tool calls

* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything

* Programming Languages built atop Jev (Diogo’s fave)

* Jev for analytics replay and user journey review

* “dark data”

* entity resolution…