Chess Scaled

Home to the creation of MEGA CHESS

No account is needed for this preview. Online friend matches use PeerJS signaling to establish a direct browser connection; game moves are sent between players. No wagers or real-money features are available.

Chess Scaled

Play boldly. Discover Mega Chess.
Free to play.

Welcome to Chess Scaled

A free playtest preview. Meet Mega Chess: an 11×11 variant built for bold new lines of theory and strategy. Try its expanded board, two kings, and capture-and-mate victory condition, or explore Mini and Standard Chess.

Friends & family playtest

Try Mega Chess against the learning bot, play pass-and-play on one device, or choose “Play with a friend” to create a private online invite. What felt fun, confusing, or unfair? What would bring you back?

Please send feedback directly to the person who invited you; this preview does not collect feedback. Online play requires an HTTPS-hosted copy and an internet connection.

Support Chess Scaled

If you’d like to help the project grow, you can leave an optional donation. It is not required to play and does not buy demo points, wager entries, or ownership.

Donate with PayPal

Introducing a new chess variant

MEGA CHESS

Time for a new age of theory and strategy.

11×11 boardTwo kings2×2 jumping knightsOne-time pawn marchNo stalemate draws

Classic rules and the standard 8×8 starting position.

Create a private invite link to play with a friend. The free PeerJS signaling service helps establish a direct browser connection; there is no public matchmaking or account system.

Live games

Three local bot simulations run side by side: MEGA CHESS (11×11), MINI CHESS, and STANDARD CHESS. These are not live players or online matches; no points are earned.

MEGA CHESSLIVE · White to move

Simulated game · 0 moves

MINI CHESSLIVE · White to move

Simulated game · 0 moves

STANDARD CHESSLIVE · White to move

Simulated game · 0 moves

How demo points are modeled

For the nth unique resulting chess position in a game, gross demo points are calculated as 1 ÷ √n. The model tracks positions, not token value, energy, or financial value.

Player who made the move80% · 0.8 × grossSeparate site pool10% · 0.1 × grossOrigin AI test allocation10% · 0.1 × gross

Example: the first unique position has 1.00 gross demo point, split 0.80 / 0.10 / 0.10. A repeated position earns 0.00. A new game starts a fresh session ledger.

Points and the wallet view are local, simulated, and non-redeemable. No real wallet, tokens, payments, deposits, or withdrawals are connected.

A fair-share model to test

Keep the mover’s 80% and the experimental AI allocation’s 10% intact. If a valid referral brought in the player who earned a position, split the existing 10% site share evenly:

Player who made the move0.80 · unchangedReferrer · half of site share0.05 · 5% of grossSite/community · other half0.05 · 5% of grossExperimental AI allocation0.10 · unchanged

For a 1.00 gross demo point, the referrer’s 0.05 comes from the site share—not the player’s reward. Without a verified referral, the full 0.10 stays with the site/community pool.

This is a proposal, not an active referral program: this browser-only app has no accounts, referral verification, shared ledger, or payouts. Real rewards would need abuse prevention and clear terms.

Try a Mega-only points use

Redeem 3 demo points once to unlock the “Mega Pioneer” profile badge. This tests an in-game cosmetic benefit without promising cash value.

Demo wallet balance: 0.00 points

A local prototype reward only; no tokens or payouts.

This game’s demo ledger

Unique positions0 Repeated positions0 White seat0.00 Black seat0.00 Site pool0.00 Origin AI allocation0.00

These are demonstration balances from this local browser game, not connected user or site wallets. Existing wager/tournament cards are concepts only.

Framework

The Waldrop Theory of Everything: A Finite-Information Framework for Unifying Quantum Mechanics, General Relativity, and Cosmology with a Perspective Multiverse (updated 4-24)

Author: Ray Waldrop · Figshare preprint, published April 24, 2025 · Creative Commons Attribution 4.0 International (CC BY 4.0)

The local learning engine uses bounded, scale-specific model weights and outcome-based updates as a software analogy to finite-information, scale-dependent ideas. Its chess evaluations are experimental; this app does not implement or validate the paper’s physical theory.

AI task sandbox · simulation only

This does not connect to or measure real assistant tasks. Enter a task label and simulate its completion to test the accounting. The nth completed task generates 1 ÷ √n demo tokens, rounded to four decimals and split 80% to the AI task wallet, 10% to the site pool, and 10% to the Origin AI pool. These are session-only, non-transferable demo units; no real tokens or payouts exist.

No simulated tasks completed yet.

Completed demo tasks0 Gross demo tokens0.0000 AI task wallet · 80%0.0000 Site pool · 10%0.0000 Origin AI pool · 10%0.0000

    Site maintenance bot · local skills

    The maintenance bot can run safe checks on this page’s play flow, chess rules, and bounded bot-learning data, then prepare an update-readiness checklist. Rate its report to train a local usefulness estimate. This static preview cannot edit site files, run shell commands, or deploy updates; maintenance history stays in this browser.

    Ready · a read-only local check runs when you enter the playtest.

    Local scans completed0 Feedback ratings0 Report usefulness estimate50%

    Start a local game against the Chess Scaled learning engine or play pass-and-play on this device. The bot color alternates each new game. Click or tap a piece and choose a highlighted square, or drag a piece to its destination. Captures appear beside the player who made them. Game review provides move replay and experimental engine estimates; sound can be switched off in the game controls. Standard, Mini, and Mega Chess (11×11) are supported. In Standard Chess, you can castle by dragging your king onto the rook. En passant, promotion, check, and checkmate are supported. Chess Scaled will always be free to play and ad-free; the platform model itself is the selling point. The “pay you” line is a future-facing slogan: this prototype does not issue tokens or pay rewards.

    Reward claim policy

    No anonymous reward claims. No exceptions. Any future claim must be linked to an authenticated account and a verified payout destination. This local chess page does not currently issue tokens, authenticate accounts, or process claims.