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Honing

Honing puts small open decision models into Red Alert 2 and a bouncing-shell tank game, then feeds what happened back into their training and the code around them.

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ACTUAL RECORDING · 12 SEC

What it does

In the Red Alert 2 clip, NanoJev sells its own construction yard and loses; after supervised training on a teacher's matches, the same model builds a base and wins. The Tank War clips work differently: the weights never change, only the controller does, and version 4's dodging comes from local geometry code. Haoze He says no human has beaten the trained models yet, while the README calls the training loop unfinished.

How you can use it

You can test how an artificial intelligence model plays by running the tank game locally. Your developer connects your chosen model to the game through simple health and decision web addresses. You can also play against a preconfigured model directly in your browser on the project's demonstration website.

You can also borrow the Tank War lesson. The same model played much better once the code around it changed what it was told, which moves it could pick and how its choices were checked, while simple geometry code dodged incoming shells. The training loop is still early work, and the public arena does not accept outside models yet.

Maker-reported (not independently measured by JevMade): Red Alert 2: base NanoJev sold its construction yard and lost at tick 140 against the Supalosa bot; after SFT on a teacher's (codex) matches it won that match-up. GRPO sampling is not wired into the RA2 controller yet. · Tank War: four controller versions with the same NanoJev weights. The README says the clips are "not a release-gate result or a measured win-rate comparison". · One decision server (GET /v1/health, POST /v1/decide) serves six families: NanoJev, Laya and Kev (SFT and GRPO), StartLux-Decision, DiffusionGemma via djev and Nimble-v4-max (serving only). · Haoze He on X, 26 Oct 2026: "So far, no human has beaten the trained models"; "Next, we're turning it into training infra for any decision model."

Primitives
choice
Platform
Python / browser
Added
Project created
GitHub stars
100 (snapshot, not live)

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