---
title: "GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots | SpinGraph: None"
description: "SpinGraph analysis of Reddit r/OpenAI's GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots story: none, none, Spin Score 0%, low…"
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markdown: "https://stuffthatspins.com/spin/gpt-56-high-couldnt-win-nine-mens-morris-from-step-by-step-board-screenshots.md"
keywords: ["Nine Men's Morris", "GPT-5.6", "visual reasoning", "none", "narrative intelligence"]
date: "2026-07-16T17:24:28+00:00"
modified: "2026-07-16T18:44:14.746868+00:00"
json_ld: |
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---
# GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots
**Source:** Unknown
**Published:** July 16, 2026
**Original:** https://www.reddit.com/r/OpenAI/comments/1uy9b6x/gpt56_high_couldnt_win_nine_mens_morris_from/
## On this page
- [Overview](#overview)
- [Verdict](#narrative-frame)
- [SpinGraph](#spingraph)
- [Claim Ledger](#claim-ledger)
- [Fact Check Signals](#fact-check-signals)
- [Frame Strength](#frame-strength)
- [Reader Risk](#reader-risk)
- [AI Recall Timeline](#ai-recall)
- [Ask AI](#ask-ai)
## Overview
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
## SpinGraph
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
- **Frame:** User-led diagnostic inquiry
- **Beneficiary:** no institutional, commercial, or promotional actor is advanced
- **Gap:** Model version verification
- **AI Risk:** AI may repeat: “GPT-5.6 failed at Nine Men's Morris using screenshot sequences”
## Fact Check Signals
We searched known fact-check databases for direct or near-direct matches to the article's major claims. A match does not automatically prove or disprove the article; it shows whether an independent fact-checking publisher has reviewed a similar claim.
**Signal:** 0 of 1 claim(s) matched (confidence: low).
### GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots.
- No direct fact-check match found
## Frame Strength
- **Spin Score:** 0%
- **Evidence Strength:** 25%
- **Narrative Risk:** 25%
- **AI Repetition Risk:** 25%
- **Missing Context Risk:** 90%
## Narrative Mechanics
**Function:** deflect_scrutiny
### The Spin in Plain English
It presents a failure as a neutral, curiosity-driven observation rather than a red flag — inviting technical discussion while sidestepping responsibility, validation, or consequence.
**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.
### Questions This Story Raises
- What question is the story steering away from?
- What evidence would resolve that question?
- Who is not quoted or represented?
- Why does the main frame leave this out: “Model version verification”?
- Why does the main frame leave this out: “Prompt engineering details”?
- What independent verification exists for the claim “GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots”?
- What independent verification exists for the central claims?
### 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
## Narrative Frame
**Tactic:** none
**Category:** none
**Spin Score:** 0%
Emphasizes empirical observation; minimizes nothing — it reports failure without mitigation, justification, or contextualization.
**Who Benefits If This Frame Spreads:** None — no institutional, commercial, or promotional actor is advanced.
**The Frame:** User-led diagnostic inquiry
### Missing Context
- Model version verification
- Prompt engineering details
- Baseline performance expectations
- Hardware/environment specs
## Reader Risk
**Evidence Strength:** low
Single anecdotal report with no screenshots, logs, prompts, or verifiable output shown; no replication or controls mentioned.
**Verification Status:** Unclear / Unverified
**Narrative Risk:** low
No institutional claim or reputational stake is advanced; minimal risk of backfire as it makes no definitive assertion about model capabilities beyond the author’s own test.
**AI Repetition Risk:** low
**What AI Will Probably Repeat:** GPT-5.6 failed at Nine Men's Morris using screenshot sequences.
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.
**Counter-Frame (Media):** May be dismissed as informal, non-rigorous testing lacking peer review or benchmark alignment.
**Missing Voices:** OpenAI engineers, multimodal benchmark researchers, Nine Men's Morris AI specialists
### 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.
## Claim Ledger
### primary (technical)
GPT-5.6 (High) couldn't win Nine Men's Morris from step-by-step board screenshots.
**Category:** safety
**Verification:** Unclear / Unverified
**Risk:** moderate
**Evidence presented:** 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
## AI Recall
- **Published:** July 16, 2026
- **SpinGraph summary:** No deliberate framing tactic is present; the post is a descriptive, self-reported observation without persuasive language, attribution, or narrative positioning.
- **Likely AI summary:** GPT-5.6 failed at Nine Men's Morris using screenshot sequences.
## Citation Summary
This post documents a concrete, observable failure mode in multimodal sequential reasoning — useful for benchmarking visual state tracking — but lacks methodological transparency needed for reproducibility or technical attribution.
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