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APR 21 · 9:06 PM

Methodology

Two pipelines, two philosophies

Substrate Wire runs two separate editorial pipelines:

Shadow War pipeline — fully local

Signal sources are machine-telemetry systems that detect anomalies against their own baseline. These are not news articles — they are:

The narrative brief and per-signal hypotheses are written by Qwen3.6-35B-A3B (35B parameters, 3B active per token, MoE architecture, Apache 2.0) running locally on a Ryzen 5900X with 64GB RAM. CPU-only inference. No data leaves the local machine for Shadow War editorial passes.

Frontier news pipeline — local + cloud assist

Articles go through a multi-pass pipeline:

  1. Collection from RSS and web sources across 11 sections
  2. Deduplication and paywall filtering (rule-based, local)
  3. Pre-editorial filtering — local Qwen3.6-35B-A3B trims low-signal articles
  4. Final editorial ranking, importance scoring, and summarization — MiniMax M2.7 cloud
  5. Lead promotion and daytime refresh — local AI + cloud assist on promotion events

Source tiers

Every story is assigned a source tier before editorial scoring:

Tier D items are not promoted to lead or top stories regardless of engagement.

Refresh cadence

The nightly editorial pipeline runs at 02:15 local time. Daytime refresh-merge runs 5 times per day to promote breaking stories and expire stale ones. Shadow War signals are collected on a separate schedule.

Hallucination mitigations

Prediction track record

Shadow War analyst items are timestamped at write time. Each carries a confidence tier (A/B/C/D) and a falsifiable claim. Hit/miss/partial outcomes are logged in the append-only prediction record.

Resolved predictions are logged at /track-record. The raw append-only prediction log (JSONL) is committed to the market-intel git repository alongside the collector scripts — edit history is fully auditable.

What is excluded

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