karti-ai
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git.karti.ai/PIG/PIG-Demo is now the source of truth, public and anonymously cloneable. Every self-link in the site and the docs repoints there — Gitea serves file paths at /src/branch/main/, not /blob/main/, so those needed rewriting rather than a hostname swap. CI moves with it. An archived GitHub repo is read-only and its Actions stop firing, so leaving the workflow there would have meant a repo whose gates silently never run. .github/ is deleted rather than kept for reference: a workflow that can never execute is worse than no workflow, because it looks like coverage. The Gitea workflow is not a copy. That runner is aarch64 and installs pnpm through corepack from `packageManager` rather than pnpm/action-setup, uses checkout@v4 and setup-node@v4, and fetches uv from astral.sh directly. It is also configured `container.network: host` — nothing here needs a service container, but the comment says so, because that setting cost the sibling repo three failed runs. The header and footer icon changed from the GitHub mark to a neutral one. A GitHub logo pointing at a Gitea instance is a small lie about where the code lives, on a site whose argument is that you can go and check it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019mt6sHQHEnEYrJZvoMCJSB
148 lines
6.5 KiB
Markdown
148 lines
6.5 KiB
Markdown
# PIG-Demo
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Interactive demos of reinforcement-learning **environments**, built for people
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who sign the budget rather than write the training loop.
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**https://demo.primeintellectgrowth.com**
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An environment is four things: a task, a set of legal moves, a grader that
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cannot be argued with, and a score that moves. Every demo here renders those
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four boxes, plays a real recorded rollout against them, and then lets you
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change what "good" means and watch the ranking flip.
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Sibling project to [PIG](https://primeintellectgrowth.com).
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---
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## Why a word game first
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Because it is **Prime Intellect's own hello-world**, and that is checkable in
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three public repositories in about thirty seconds:
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- one of five `basic` examples in [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl/tree/main/examples/basic/wordle)
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- an environment in [verifiers](https://github.com/PrimeIntellect-ai/verifiers/tree/main/environments/wordle)
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- the environment used in the official [lab-cookbook](https://github.com/PrimeIntellect-ai/lab-cookbook) GEPA prompt-optimisation tutorial
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We didn't pick a game. We picked theirs.
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It also needs zero domain knowledge, which means an executive learns the
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*machine* — task, moves, grader, score — before any vertical vocabulary gets in
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the way. Every demo after it renders the same four boxes with a different
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grader.
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## What is actually in here
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```
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envs/wordle_five/ A real environment: engine, reward, reference solver, tests
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envs/probe.py The ladder that proves the reward measures something
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src/demos/wordle/ The browser half — a port of the same engine
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public/traces/wordle/ Recorded rollouts, committed. The evidence.
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```
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The site does **no live inference**. Rollouts are captured once against a real
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model and replayed at their recorded wall-clock. That is a deliberate choice: a
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public demo with no auth cannot hold an API key, a live call is slow and flaky
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on conference wifi, and a recorded run can be scrubbed, permalinked,
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blind-compared and *verified* in ways a live one cannot.
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What keeps it from being a video is that the browser re-derives every number it
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shows. It re-runs the recorded moves through its own copy of the engine,
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rescores them, and prints the delta against what the environment recorded.
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## The three commands that check the claims
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```bash
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uv sync --all-packages
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uv run pytest envs/wordle_five/tests # 25 tests, incl. the duplicate-letter cases
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uv run python envs/probe.py # the reward ladder, 7 hard assertions
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pnpm install && pnpm check && pnpm build
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```
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### The cross-language gate
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`engine.py` and `engine.ts` must agree on every tile. CI scores **all 4,603² =
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21.2 million** (guess, answer) pairs through both and compares a SHA-256:
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```
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69f4e8dfbdc492176d7b7f04b080d8d3cccb5f18aca2d592e622938a5aeec8e2
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```
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A hand-picked vector file only ever catches the cases somebody thought of. This
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catches all of them, and it is what lets the page claim it *verified* a run.
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The subtlety it protects is the duplicate-letter rule. Scoring runs in two
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passes — every green in the word is resolved before any yellow is assigned —
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because a letter may be marked non-grey at most as many times as it occurs in
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the answer, and greens have first claim. `SASSY` against `BASIS` is `YGGXX`:
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three S's guessed, two available, so one yellow and one grey. Getting this
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wrong is the most common bug in implementations of this game, and it is the bug
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that put a correction video on the most-watched explanation of it ever made.
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## The reward, and why the third component is the point
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| component | weight | role | measures |
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|---|---|---|---|
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| `solved` | 0.50 | objective | did it win |
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| `economy` | 0.30 | objective | turns used, as a ratio against the reference player on the same word |
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| `consistency` | 0.20 | **counterweight** | share of turns spent on a move that could still have won |
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A counterweight has to be in genuine tension with the objective, or it is a
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gate wearing a counterweight's name. This one is: a player maximising
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information deliberately guesses words that **cannot** win, because a word
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splitting the candidates evenly teaches more than a word that might happen to
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be right. That is good play, and it costs consistency.
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The probe ladder measures the trade rather than asserting it:
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```
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policy solved economy consistency TOTAL
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inaction 0.0000 0.0000 0.0000 0.0000
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crude 0.0000 0.0000 0.0556 0.0111
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plausible 0.1250 0.1000 0.1493 0.1224
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candidate_only 0.9375 0.7458 1.0000 0.8925
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exhaustive 1.0000 0.9375 0.6094 0.9031
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oracle 1.0000 1.0000 0.7292 0.9458
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```
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The two good policies are 0.05 apart and **neither dominates the other**. Which
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one wins is a decision about what you actually want — which is the whole
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argument this site exists to make, and it is why the reward editor on the page
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can flip the ranking with one slider. `probe.py` fails CI if either policy
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starts dominating, if any weighted component goes flat, or if doing nothing
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scores above zero.
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## Honesty
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- Every rollout is **recorded, not live**, and labelled as such on the page.
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- The reward editor **re-scores recorded attempts**. It does not retrain
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anything, and it says so where you use it.
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- The word list is [our own construction](envs/wordle_five/words/PROVENANCE.md)
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from Wordnik (MIT) and SCOWL. Our answer pool is 4,603 — roughly twice the
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original game's — so this is **harder** than the original and our numbers are
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not comparable to published figures for it. The famous SALET / 3.4212-guess
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optimum belongs to that list, not ours, and is cited as such.
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- The verticals listed on the site are **our proposals**. They are not Prime
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Intellect's roadmap and not a customer list. No customer logos, ever.
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- Not affiliated with The New York Times. Independent implementation, own word
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lists, own palette, own reward.
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Full accounting: [demo.primeintellectgrowth.com/honesty](https://demo.primeintellectgrowth.com/honesty)
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Also served at [demo.lumbridgecorp.com](https://demo.lumbridgecorp.com); the
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canonical name is the first one and every page says so in its `<link rel=canonical>`.
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## Adding a demo
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```bash
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pnpm demo:new <slug>
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```
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Copies the templates and wires nothing — the registry finds demos by existence,
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so the header, the gallery, the router and the sitemap all pick it up with zero
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edits to shared files. `pnpm check` enforces the contract; see
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[CONTRACT.md](CONTRACT.md).
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## Licence
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Apache-2.0. Third-party attributions in [NOTICE](NOTICE).
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