Skip to content

DARPA CLARA TA1 – tri build & demo pipeline before Apr 17 #480

@gHashTag

Description

@gHashTag

DARPA CLARA (Compositional Learning‑And‑Reasoning for AI Complex Systems) full proposal is due April 17, 2026, 4:00 PM ET. darpa
CLARA TA1 targets new approaches for high‑assurance ML+AR with provable polynomial‑time behavior, verifiability, and compositional reasoning, with open‑source software deliverables. jm-aq

Trinity already has the core pieces (HSLM ternary NN, VSA symbolic layer, Queen Lotus reasoning, FPGA path), but we need a clean, reproducible tri build + CLARA demo pipeline that can be referenced in the proposal and used in hackathons.

Goal

By the CLARA full‑proposal deadline:

  • tri builds cleanly (via Docker and/or Railway).
  • A single command (e.g. tri clara demo) runs an end‑to‑end CLARA‑style pipeline:
    • HSLM forward pass on example inputs.
    • VSA binding / similarity reasoning.
    • (Optionally) Datalog/Zodd layer for symbolic rules.
    • Human‑readable proof‑style explanation (max ~10 steps).
  • There is a short, copy‑pasteable "How to run the CLARA demo" section for the proposal / reviewers.

Tasks

  • Fix remaining Zig 0.15 build issues so that zig build tri succeeds (no missing modules, no broken imports).
  • Ensure tri builds inside Docker:
    • docker-compose -f deploy/docker/docker-compose.yml build tri passes.
    • Document minimal Docker build command in CLAUDE.md / docs/.
  • Wire tri railway to the build pipeline:
    • Confirm tri railway build can trigger a remote tri build (Railway CLI wrapper is working).
    • Confirm tri railway status and tri railway logs give usable feedback for CLARA builds.
  • Implement a CLARA demo command (initially local):
    • Add tri clara demo (or similar) entry in tri_register.zig.
    • Demo path: HSLM → VSA → (optional Zodd/Datalog) → explanation.
    • Use a small, deterministic example (e.g. "kill‑web" style toy scenario, medical toy, or supply‑chain toy) that matches CLARA use cases. darpa
  • Implement an explanation output:
    • Print a bounded proof trace (~3–10 steps) with clear natural‑language labels.
    • Ensure the explanation format aligns with CLARA's emphasis on hierarchical, human‑readable explanations. darpa
  • Write a minimal demo README:
    • New file: docs/clara_demo.md (or similar).
    • Include: prerequisites, build instructions (Docker / Railway), how to run tri clara demo, what the output means.
    • Keep it proposal‑ready (can be quoted / paraphrased in the CLARA technical volume).

Out of scope (for this issue)

  • Full formalization of all Trinity theorems.
  • Complete CLARA proposal text (handled in separate docs/proposals issues).
  • Non‑essential refactors unrelated to getting a working demo and build pipeline.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions