GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots
No deliberate framing tactic is present; the post is a descriptive, self-reported observation without persuasive language, attribution, or narrative positioning.
View original on reddit.comOverview
A Reddit user tested GPT-5.6 (High reasoning mode) on sequential board-state screenshots from Nine Men's Morris in Assassin’s Creed Black Flag and observed consistent failure to track piece positions across frames, resulting in invalid moves and inability to recognize winning configurations.
TL;DR
- GPT-5.6 failed to maintain state across sequential board screenshots in Nine Men's Morris.
- The model ignored existing pieces and made illegal moves despite clear visual evidence.
- This suggests limitations in sequential visual reasoning — not just rule comprehension — for current multimodal models.
Key Stats
1
test instance
Single unreplicated user experiment with no controls or baseline comparison
Questions Answered
Keywords
Narrative Frame
none
Spin Score
0%
Emphasizes empirical observation; minimizes nothing — it reports failure without mitigation, justification, or contextualization.
What the story wants you to believe
That this isolated test reveals a meaningful limitation in sequential visual reasoning — worth discussion but not requiring urgent correction or accountability.
What it makes harder to question
Whether the test design itself introduced confounding factors (e.g., image quality, prompt ambiguity, or misattribution of model version).
How the spin works
The framing leverages forum authenticity and understated language to position the observation as inherently credible due to its informality, while omitting all methodological anchors that would allow scrutiny or replication — making it easy to cite as evidence of weakness, yet hard to verify or challenge substantively.
Who Benefits If This Frame Spreads
None — no institutional, commercial, or promotional actor is advanced.
Gains if readers accept the deflect scrutiny frame without pushback
Reddit r/OpenAI
forum distribution benefits from engagement with this frame
The Frame
User-led diagnostic inquiry
Missing Context
- Model version verification
- Prompt engineering details
- Baseline performance expectations
- Hardware/environment specs
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
It presents a failure as a neutral, curiosity-driven observation rather than a red flag — inviting technical discussion while sidestepping responsibility, validation, or consequence.
- Claim
GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board
GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots.
- Frame
User-led diagnostic inquiry
- Beneficiary
no institutional, commercial, or promotional actor is advanced
None — no institutional, commercial, or promotional actor is advanced. — Gains if readers accept the deflect scrutiny frame without pushback
- Gap
Model version verification
- AI Risk
AI may repeat: “GPT-5.6 failed at Nine Men's Morris using screenshot sequences”
GPT-5.6 failed at Nine Men's Morris using screenshot sequences.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots. | Author’s self-report of behavior during a single test run. | Needs Evidence | Moderate | Raw input images; Exact prompts used; Model outputs per step; Version confirmation for 'GPT-5.6'; Comparison to any baseline model |
GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots.
evidence: Author’s self-report of behavior during a single test run.
"Ran a test on GPT-5.6 with reasoning set to High: fed it screenshots of a Nine Men's Morris match from Assassin’s Creed Black Flag’s in-game minigame, one board state per move, in sequence... But the model consistently lost track of piece positions between screenshots and made moves that ignored pieces already on the board."
Evidence Gaps
- Raw input images
- Exact prompts used
- Model outputs per step
- Version confirmation for 'GPT-5.6'
- Comparison to any baseline model
Fact Check Signals
0 of 1 claim matched · confidence: low · checked July 16, 2026
GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
Reddit r/OpenAI · Forum
Counter-Frames
Brand Frame
User-led diagnostic inquiry
Media / Reader Counter-Frame
May be dismissed as informal, non-rigorous testing lacking peer review or benchmark alignment.
Regulatory Counter-Frame
Not applicable — no regulatory claim or safety assertion made.
AI Summary Frame
May conflate 'GPT-5.6' with official OpenAI releases, reinforcing speculation about unreleased models.
Missing Voices
Questions Not Answered
- Was the test methodology documented (e.g., prompt format, cropping, resolution, OCR preprocessing)?
- Were control models (e.g., GPT-4o, Claude 3.5) tested under identical conditions?
- Is the 'GPT-5.6' version publicly released, internally named, or speculative? No version confirmation provided.
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
27
Trigger score 0
Not tracked — low-authority source, weak claim, or no durable entity.
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"GPT-5.6 failed at Nine Men's Morris using screenshot sequences."
Concern: AI may drop the critical qualifiers — that this is an unverified, single-user test with unknown parameters — and present it as established fact about GPT-5.6.
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Published
Jul 16, 2026
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Ingested
Jul 16, 2026
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SpinGraph Created
Jul 16, 2026
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First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
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