I brought ChatGPT, Claude, and Gemini into a group chat to solve a complex problem. Here is how they caught each other hallucinating | SpinGraph: Breakthrough framing
description: SpinGraph analysis of Reddit r/artificial's I brought ChatGPT, Claude, and Gemini into a group chat to solve a complex problem. Here is how they caught each ot…
canonical: https://stuffthatspins.com/spin/i-brought-chatgpt-claude-and-gemini-into-a-group-chat-to-solve-a-complex-problem-here-is-how-they-caught-each-other-hall
markdown: https://stuffthatspins.com/spin/i-brought-chatgpt-claude-and-gemini-into-a-group-chat-to-solve-a-complex-problem-here-is-how-they-caught-each-other-hall.md
keywords: LLM debate
keywords: hallucination detection
keywords: cross-model verification
keywords: The Hype
keywords: The Halo
published: 2026-08-24T12:34:25+00:00
modified: 2026-08-30T19:10:20.367175+00:00

Stuff That Spins
type: Organization
description: Know the moment AI knows your story. Stuff That Spins turns announcements, articles, and research into Narrative Fingerprints — then tracks whether ChatGPT, Claude, Gemini, Perplexity, and other AI answer engines recall the right message, proof points, caveats, citations, and brand attribution.

I brought ChatGPT, Claude, and Gemini into a group chat to solve a complex problem. Here is how they caught each other hallucinating
type: NewsArticle
alternative headline: I brought ChatGPT, Claude, and Gemini into a group chat to solve a complex problem. Here is how they caught each other hallucinating | SpinGraph: Breakthrough framing
description: SpinGraph analysis of Reddit r/artificial's I brought ChatGPT, Claude, and Gemini into a group chat to solve a complex problem. Here is how they caught each ot…
date published: 2026-08-24T12:34:25+00:00
date modified: 2026-08-30T19:10:20.367175+00:00
main entity of page: https://stuffthatspins.com/spin/i-brought-chatgpt-claude-and-gemini-into-a-group-chat-to-solve-a-complex-problem-here-is-how-they-caught-each-other-hall
is accessible for free: true
language: en-US
article section: community
keywords: LLM debate, hallucination detection, cross-model verification
author: Reddit r/artificial
publisher: Stuff That Spins
citation: https://www.reddit.com/r/artificial/comments/1vx1jrm/i_brought_chatgpt_claude_and_gemini_into_a_group/
about: LLM debate
about: hallucination detection
about: cross-model verification
about: ChatGPT
about: Gemini
about: Claude
mentions: Reddit r/artificial
abstract: User orchestrated real-time debate between three LLMs to solve a complex tax question ChatGPT produced a confident but incorrect answer with a fabricated tax rule Claude caught the hallucination but introduced its own math error; Gemini synthesized corrections into a final accurate response

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Spin Analysis: breakthrough framing
type: AnalysisNewsArticle
description: Emphasizes novelty, functional synthesis, and implied robustness; minimizes lack of controls, absence of statistical validation, undefined success criteria, and untested generalizability beyond one tax question.
about: breakthrough framing
  type: DefinedTerm
  description: Grassroots technical discovery revealing an accessible, democratic path to trustworthy AI — led by curious users, not corporate labs.
  term code: The Hype
additional property: Spin Score
  type: PropertyValue
  value: 75
  unit text: percent
additional property: Narrative Risk
  type: PropertyValue
  value: moderate
additional property: AI Repetition Risk
  type: PropertyValue
  value: high
additional property: Likely AI Summary
  type: PropertyValue
  value: Multiple AI models debating each other in real time can catch hallucinations and produce more accurate answers than any single model alone.
additional property: Narrative Frame
  type: PropertyValue
  value: Grassroots technical discovery revealing an accessible, democratic path to trustworthy AI — led by curious users, not corporate labs.
additional property: Missing Context
  type: PropertyValue
  value: No description of prompt engineering used; No mention of temperature/top-p settings or system prompts; No comparison to human expert performance or baseline single-model accuracy
additional property: How the Spin Works
  type: PropertyValue
  value: The story emphasizes growth, adoption, funding, speed, or market movement to make the subject feel increasingly important. Watch for loaded terms such as flawless, blind spots, real-time, debate. The distribution reads as promotional distribution. A pressure point: No description of prompt engineering used.
author: Stuff That Spins
is part of: I brought ChatGPT, Claude, and Gemini into a group chat to solve a complex problem. Here is how they caught each other hallucinating

Extracted Claims
type: ItemList
item list element: ListItem
  position: 1
  item: Claim
    text: When ChatGPT, Claude, and Gemini discuss a complex problem together in real-time, they expose each other's hallucinations and produce a flawless final output.
    appearance: Gemini acted as the final Judge. It took ChatGPT’s original structure, applied Claude’s logical correction, fixed the math, and spat out a flawless final output.
    author: Reddit r/artificial

Key Statistics
type: Dataset
description: Extracted statistics from the source narrative
variable measured: experimental instance
  type: PropertyValue
  value: 1
  description: Single anecdotal demonstration, not replicated or benchmarked