Seth 9abf9238c5 3-tier self-play: command drills, self-critique, adversarial ...

Tier 1 — Command drills:
  Random seed prompts → generate commands → RCON validates
  Teaches: accurate command syntax

Tier 2 — Single-shot self-critique:
  Model invents a tricky prompt AND responds in one call
  RCON validates the self-generated commands
  Teaches: edge-case awareness, self-evaluation

Tier 3 — Adversarial self-play:
  Session A generates challenging prompts
  Fresh Session B responds cold (can't cheat)
  RCON validates, self-corrects on errors
  Teaches: robustness, generalization

Usage: --tier 1|2|3|all --rounds N --focus category

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-19 19:39:33 -04:00

agent

Tool-calling training: 1,159 multi-turn examples with error correction

2026-03-19 18:49:08 -04:00

data

1,833 training examples: entities, execute chains, multiplayer, advanced, redstone, biomes, errors

2026-03-19 19:22:32 -04:00

eval

Risk gradient (0-5), updated system prompts, 233 examples

2026-03-18 16:14:54 -04:00

ingame

Minecraft knowledge corpus, recipe trees, GitHub scraper, 644 examples

2026-03-18 20:33:09 -04:00

knowledge

Minecraft knowledge corpus, recipe trees, GitHub scraper, 644 examples

2026-03-18 20:33:09 -04:00

scripts

Persistent Haiku cost tracking, Sethian whitelist web app

2026-03-18 22:29:19 -04:00

training

3-tier self-play: command drills, self-critique, adversarial

2026-03-19 19:39:33 -04:00

web

Persistent Haiku cost tracking, Sethian whitelist web app

2026-03-18 22:29:19 -04:00

.gitignore

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

FRIENDS_INVITE_DISCORD.md

Three-tier constraint model, mode-aware eval, boundary examples, playtest tooling

2026-03-18 15:57:01 -04:00

FRIENDS_INVITE.md

Three-tier constraint model, mode-aware eval, boundary examples, playtest tooling

2026-03-18 15:57:01 -04:00

IDEA.md

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

PLAN.md

v3 model trained (1,308 examples, loss 0.55), API cascade, context update

2026-03-19 04:52:04 -04:00

REDDIT_EVAL_INVITE.md

Phase 2: eval harness, 182 examples, live bake-off, playtest infrastructure

2026-03-18 13:38:12 -04:00

REDDIT_MODMAIL.md

Phase 2: eval harness, 182 examples, live bake-off, playtest infrastructure

2026-03-18 13:38:12 -04:00

SESSION.default.md

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00

whitelist.sh

Three-tier constraint model, mode-aware eval, boundary examples, playtest tooling

2026-03-18 15:57:01 -04:00

S

Description

An open-source AI God for Minecraft servers — trained to understand natural language, execute commands, and play a divine character.

14 MiB

Languages

Python 83.5%

JavaScript 10.5%

HTML 4.4%

Shell 1.6%