A Codex-built harness, a saved replay, and mixed results.
Izzuddin had Jev play Pokémon Showdown, with Codex building the harness. He calls it very fast and its choices a mixed bag. The replay he published carries the decision data, the latency and added reading pauses.
A company called TypeSafe AI launched a model this week called Jev. They told us how fast it is. They told us what it costs. They told us it plays Doom in a tenth of a second.…
medium.com · Games & real time
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Games & real time
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TypeSafe’s Jev Makes ... Decisions Fast Enough to Play Doom | by Kristopher Dunham | Sep, 2026 | Medium ... # TypeSafe’s Jev Makes AI Decisions Fast Enough to Play Doom ... A…
medium.com · Games & real time
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Games & real time
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🧵 I wanted to understand what makes Jev different from a normal LLM. So I built a tiny real-time game with it. The AI controls the player and has one goal: Don't get hit.
@abolbuild · Games & real time
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Games & real time
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To pick that list better, I tried Jev, a decision model from TypeSafe. I did not have Jev write recommendations. I asked it to rate candidate games, then handed the model that…
dev.to · Games & real time
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Games & real time
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1/8 Saw Jev from @typesafeai on my feed, so I made it play Pokemon Showdown. Codex built the harness. It was damn fast. Its choices were a mixed bag. Full match, video 1/2. This is a saved replay with decision data, latency and added reading pauses.
