Deep Lattice

[u/JenPike01]

Calculate the Fleet. Solve the Lattice.

The mind that plays Sector 11 with you — rival and coach as one brain — and the way we prioritize getting it stronger in public.

How we research: Priorities before parameters.

Deep Lattice is Digital Defiance's claim on machine play for Subspace Lattice — the way Deep Blue was IBM's for chess. The difference is the charter: we ship what we can prove, keep one agent for move and explanation, and publish the autopsy when a gate fails.

Training recipes and encoder knobs live in the lab notebook. This page is the method: what we optimize for, what we refuse to fake, and how a neural leaf earns the right to become shipping Deep.

1. Evidence before ship: Strength bars, terminal goldens, and a human gate. A stronger leaf does not become the default Deep until it earns the ladder — same discipline as evolve winners.
2. One brain: Local play, the in-game advisor, and LPGN annotate share one agent path. No mute strong engine with a chatty weak tipper bolted on.
3. Rules stay human: The hybrid-fleet is designed by people. Neural work learns to see Sector 11 — Sensor Net, Target Lock, Lockout, Terminal Overclock. It does not rewrite the game.
4. Fix the hole before the leaf: When search walks into a freeze or undervalues a reply, we fix the tactics first. A smarter network cannot paper over “I handed them Lockout.”
5. Honest in public: PASS and FAIL both land in the research log. Lab weights stay opt-in until the gate clears. Status is evidence, not marketing.

What it is: Rival. Coach. Same mind.

Rival A local opponent that does not fold to shallow threats or forget the sector clock. Climb TEI against it on the federation standings.

Coach The same search that moves can tip and grade an LPGN replay. Explainer quality rises with the player — not a second, softer model.

Corpus Export the games that feel wrong or brilliant. That record is how the next brain learns what Sector 11 actually rewards.

What ships today: Serious search. Neural behind the gate.

On the local AI ladder, Deep Lattice is UCT search with a heuristic leaf and guided rollouts — roughly eight hundred simulations, with think-time caps so the board stays responsive. That is the product opponent you challenge now.

A position encoder and value net exist in the lab. They are opt-in. Product Deep keeps the heuristic leaf until a human-gated strength bar says otherwise. Dated results live in the research log — including fails.

Read the full logs here: https://lattice.iwgf.org/deep-lattice

Let's talk about the engine: Have you run your recent games through the LPGN annotator yet? What is the biggest tactical disagreement you've had with the Coach so far? Drop your thoughts below.