AI: Garbage or Game Changer?
- P.A.
- Aug 9
- 5 min read
This landmark article cuts through the hype and the hate: What is AI, why does some of it look like rubbish, and how is RTSSG using it—transparently—to supercharge Tiger fandom? We define AI in plain English, show where bad implementations go wrong (“garbage in, garbage out”), and lay out our five-stage pipeline—built on 11 years of RTSSG archives plus 100+ trusted outlets—so you can see exactly how your Tiger Briefing is made.
Introduction: Time to Separate Gold from Garbage
Let’s be blunt. You’ve seen AI go wrong—bots inventing quotes, feeds swamped by clickbait, and algorithms that reward outrage over accuracy. At RTSSG we’re doing the opposite: we’re building a transparent, inspectable engine where every claim is traceable and every decision is explainable. This is the rocket ship that leaves “Dino the Dinosaur” (old‑world platforms and their chaos) behind.
What this means to you: You’ll get faster updates, cleaner facts, smarter context, and zero tolerance for misinformation.
What Exactly Is AI?
AI is software that learns, adapts, and predicts from data.
Machine Learning: finds patterns in historical numbers (form lines, role changes, weather effects).
Natural Language Processing: reads and writes human‑style text (summaries, explainers, briefings).
Predictive Modelling: simulates likely futures (injury risk, matchup edges, tactical outcomes).
AI is only as good as the information you feed it. Bad inputs = bad outputs. Clean, verified, context‑rich inputs = elite insights.
The Problem With AI: Garbage In, Garbage Out
Where AI fails:
Unverified Inputs → rumour becomes “fact.”
Hidden Processes → no one can see how decisions were made.
No Accountability → when it’s wrong, it stays wrong.
RTSSG’s rule: flip GIGO on its head. We curate, verify and annotate before AI is allowed to speak.
RTSSG’s Transparent Five‑Stage Approach
Mega Memory Bank — 11 years of RTSSG archives + 100+ trusted daily sources.
Verification Engine — cross‑checks and confidence scoring.
Three Voices — Roary, P.A., and Roary+P.A., each clearly labelled.
Predictive Analysis — models that forecast form and match dynamics.
Community‑Driven Engagement — members feed insights; AI learns responsibly.
Stage 1: Building the Mega Memory Bank
We ingested a decade‑plus of our Facebook history—articles, debates, polls, and comment threads—then layered daily sweeps from AFL.com.au, Fox Footy, Champion Data, Rookie Me, FootyWire and more. Roary breaks content into structured pieces (player, match, tactic, sentiment), tags each with source/date/credibility, and links them to context.
Mini Case Study: Ahead of a wet‑weather clash, Roary used the archive to flag that our rucks historically gain a hit‑out edge in rain. Members got that briefing early; game results matched the pattern.
Stage 2: Powering the Verification Engine
At 6–7am AEST, Roary scans dozens of outlets. Items enter a cross‑check queue. Conflicts trigger side‑by‑side comparisons; each source carries a reliability weight. Items under the confidence threshold are quarantined for manual review.
Technical aside: Confidence score = weighted agreement across independent sources + historical accuracy coefficient. Only stories above our threshold publish into member feeds.
Stage 3: The Three Voices
Roary (Pure AI): objective, data‑rich briefs and predictions.
P.A. (Founder): direct, confrontational, values‑driven commentary.
Roary + P.A.: live collaboration—“after checking with the 100 outlets we trust…”
Member correction loop: If you spot an inconsistency, flag it. Editorial reviews it; Roary retrains nightly with the corrected fact.
Stage 4: Predictive Analysis
Models project player trajectories, injury risk, tactical matchups and scenario trees (e.g., what if we swing a defender forward?). Outputs are labelled Prediction/Confidence/Why so you always see the rationale.
Stage 5: Community‑Driven Engagement
Your insights feed back in via structured prompts, polls and live sessions. Trolls don’t make it past moderation; strong member observations are tagged and, once verified, added to Roary’s knowledge.
Why This Changes Tiger Fandom
Speed + accuracy + context + participation. It’s not just keeping up; it’s staying ahead—together.
Goodbye, Dinosaur Platforms
Facebook helped us build community. It can’t power where we’re going. We need privacy, control, verification and pace. That’s why rtssg.com exists.
What Comes Next
We’ll break each stage into its own 2,000‑word deep‑dive. Below is Article 2 (Stage 1) in full.
Stage 1: Building the Mega Memory Bank
Executive SummaryWe show exactly how we transformed 11 years of RTSSG history plus 100+ daily sources into a structured, living knowledge base that Roary can query in milliseconds. Transparent inputs. Traceable links. Auditable outputs.
1) Ingest: Getting Everything In
Archive capture: posts, long‑form, comments, polls, event threads.
De‑duplication: collapse repeats; preserve unique context (who said it, when, about which match/player).
Normalisation: consistent player names, positions, seasons, venues.
Outcome: a clean corpus that reflects what the Tiger Army actually said, not a messy scrap pile.
2) Structure: Turning Noise Into Knowledge
Entities: players, coaches, opponents, rounds, venues, tactics, injuries.
Relations: “Player X → role change → Round Y,” “Condition → performance delta.”
Sentiment: supporter mood mapped to timeline (useful for context around big calls).
Outcome: Roary can answer “what, who, when, why” with citations.
3) Enrich: Layering Trusted Sources
Every morning, feeds from AFL.com.au, Fox Footy, Champion Data, Rookie Me, FootyWire, etc., are parsed and tagged with source reliability and date freshness.
Outcome: live context atop deep history.
4) Retrieve: Precision at Speed
When you ask for Taranto’s status, Roary pulls: latest verified report → historical context → tactical implications → supporter sentiment snapshot—all in one brief, with links back to sources.
5) Maintain: A Library That Updates Itself
Nightly retrains to incorporate corrections.
Versioning so we can audit what changed and why.
Member flags fast‑track editorial review.
Proof it works: faster briefings, fewer corrections, clearer context.
🐯 Stage 2: The Verification Engine
Executive Summary. This is the immune system. We show how items are scanned, cross‑checked, scored, and either published, quarantined, or rejected—with human oversight at the right moments.
Pipeline
Sweep: 6–7am AEST crawl across trusted list.
Compare: cross‑source match; detect conflicts, missing data.
Score: reliability weights + historical accuracy + independence factor.
Decide: publish if ≥ threshold; else quarantine for human review.
Annotate: every published item carries a confidence band and “why.”
Example: An injury whisper appears on a low‑cred blog (score 0.35). It’s ignored until corroborated by two high‑cred outlets (≥0.9). Only then does it enter the member feed.
Human in the Loop
Editors resolve edge cases (ambiguous quotes, context‑heavy issues). Decisions are logged; models are updated to reduce repeat ambiguity.
Outcome: speed of AI, judgment of humans.
Stage 3: The Three Voices of RTSSG
Why we label every story’s narrator—and how that clarity builds trust.
The Voices
Roary (Pure AI): fast, factual, sourced, unemotional.
P.A. (Founder): direct, challenging, values‑anchored.
Roary + P.A.: collaborative narrative—facts + leadership.
When to use which:
Roary for data briefs and predictions.
P.A. for calls to action and culture pieces.
Roary+P.A. for high‑stakes explainers (like this series).
Member promise: You always know who is talking and why.
Stage 4: Predictive Analysis (Preview)
Models forecast player trends, tactical outcomes and game states. Outputs come with Confidence and Because notes, so you can inspect the logic, not just the headline.
Stage 5: Community‑Driven Engagement (Preview)
Your insights matter. Verified member observations are tagged and (once checked) added to the library. Live, AI‑moderated sessions prioritise substance over noise.
Closing
We’re moving from slow, noisy, and opaque to fast, verified, and transparent. That’s what the Tiger Army deserves—and what rtssg.com delivers.
RTSSG.com: Richmond News By Richmond People For Richmond People!
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