Jev Plays Multiple Wordle Boards at Once
Jev played N Wordle boards at once, applying each guess to all unsolved boards. It needed 7 model calls across the game.
Richard C. Suwandi@richardcsuwandi𝕏
I asked @typesafeai's new model Jev to play N Wordle boards at once! Each board hides a different word, but every guess applies to all unsolved boards simultaneously. Every move has to balance solving one board with revealing useful information across the others. Jev only needed 7 model calls across the entire game. Its shared guesses progressively narrowed the candidate set for every board until
Each board hid a different word. Shared guesses had to balance solving one board with revealing useful information across the others.
Also filed under Games & real time
- Steer a 3D Box with Goals
The build steers a 3D box with plain-language goals. An LLM plans each instruction, while TypeSafe Jev makes move, turn, and jump decisions in real time.
- Benchmarks Jev on Pokémon Red
The project benchmarks Jev, TypeSafe’s fast decision model, against Jev paired with a GPT-6 Sol planner for playing Pokémon Red.
- A Jev-Made Unity Build
Kevin Kern says the build was made with Jev, GPT Live, Blender, Unity, and more.
- Plain-English Cellular Ecosystem Simulator
LifePot is a cellular automaton-inspired ecosystem that users describe in plain English. Jev turns those inputs into species, feeding relationships, reproduction strategies, and environmental conditions.