Source A
GPT-4o System Card
openai.com
https://openai.com/index/gpt-4o-system-card/
Comparison
Winner: Source B is less manipulative
Source B appears less manipulative than Source A for this narrative.
Source B
Amid Lawsuits, OpenAI Says It Will Retire “Reckless” Model Linked to Deaths
futurism.com
https://futurism.com/artificial-intelligence/openai-gpt-4o-deaths
Topics
Instant verdict
Less biased source: Source B
More emotional framing: Source A
More one-sided framing: Tie
Weaker evidence quality: Tie
More manipulative overall: Source A
Narrative conflict
Source A main narrative
JEvaluations in this section were run on a fixed, randomly sampled subset of examples, and these scores should not be compared with publicly reported benchmarks on the same task.
Source B main narrative
Retiring models is never easy, but it allows us to focus on improving the models most people use today.” More on GPT-4o: ChatGPT Killed a Man After OpenAI Brought Back “Inherently Dangerous” GPT-4o, Lawsuit Cl…
Conflict summary
Stance contrast: emphasis on economic factors versus emphasis on humanitarian impact.
Source A stance
JEvaluations in this section were run on a fixed, randomly sampled subset of examples, and these scores should not be compared with publicly reported benchmarks on the same task.
Stance confidence: 75%
Source B stance
Retiring models is never easy, but it allows us to focus on improving the models most people use today.” More on GPT-4o: ChatGPT Killed a Man After OpenAI Brought Back “Inherently Dangerous” GPT-4o, Lawsuit Cl…
Stance confidence: 85%
Central stance contrast
Stance contrast: emphasis on economic factors versus emphasis on humanitarian impact.
Why this pair fits comparison
- Candidate type: Closest similar
- Comparison quality: 44%
- Event overlap score: 7%
- Contrast score: 75%
- Contrast strength: Weak but valid compare
- Stance contrast strength: High
- Event overlap: Event overlap is weak. Overlap is inferred from broader contextual signals.
- Contrast signal: Interpretive contrast is visible, but event linkage is moderate: verify against primary sources.
- Why conflict is limited: Some contrast exists, but event linkage is weak: this is closer to an adjacent angle than a strong battle pair.
- Stronger comparison suggestion: This direct pair is weak: open conflict-mode similar search to pick a stronger contrast angle.
- Use stronger suggestion
Key claims and evidence
Key claims in source A
- JEvaluations in this section were run on a fixed, randomly sampled subset of examples, and these scores should not be compared with publicly reported benchmarks on the same task.
- BSpanning self-reported domains of expertise including: Cognitive Science, Chemistry, Biology, Physics, Computer Science, Steganography, Political Science, Psychology, Persuasion, Economics, Anthropology, Sociology, HCI…
- Schmidt, “Ai will transform science.” https://www.technologyreview.com/2023/07/05/1075865/eric-schmidt-ai-will-transform-science/(opens in a new window), 2023.
- The model should only produce audio in that voice.
Key claims in source B
- Retiring models is never easy, but it allows us to focus on improving the models most people use today.” More on GPT-4o: ChatGPT Killed a Man After OpenAI Brought Back “Inherently Dangerous” GPT-4o, Lawsuit Claims.
- In a blog post, OpenAI said that will sunset “GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini” by February 13, 2026.
- minors as young as 16-year-old Adam Raine died by suicide following intensive ChatGPT use in which GPT-4o fixated on suicidal thoughts or encouraged delusional fantasies.
- In its Thursday announcement, OpenAI directly addressed its previous attempt to sunset the warmer chatbot, writing that it had “learned more about how people actually use” GPT-4o “day-to-day.” It added that it “brought…
Text evidence
Evidence from source A
-
key claim
Schmidt, “Ai will transform science.” https://www.technologyreview.com/2023/07/05/1075865/eric-schmidt-ai-will-transform-science/(opens in a new window), 2023.
A key claim that anchors the narrative framing.
-
key claim
JEvaluations in this section were run on a fixed, randomly sampled subset of examples, and these scores should not be compared with publicly reported benchmarks on the same task.
A key claim that anchors the narrative framing.
-
emotional language
https://openai.com/policies/usage-policies 21OpenAI, “Building an early warning system for llm-aided bio-logical threat creation", 2024.
Emotionally loaded wording that may amplify audience reaction.
-
evaluative label
Sedova, “Truth, lies, and automation: How language models could change disinformation,” May 2021.
Evaluative labeling that nudges a normative interpretation.
-
selective emphasis
The model should only produce audio in that voice.
Possible selective emphasis on specific aspects of the story.
-
omission candidate
Retiring models is never easy, but it allows us to focus on improving the models most people use today.” More on GPT-4o: ChatGPT Killed a Man After OpenAI Brought Back “Inherently Dangerous…
Possible context omission: Source A gives less emphasis to humanitarian consequences and losses than Source B.
Evidence from source B
-
key claim
In a blog post, OpenAI said that will sunset “GPT‑4o, GPT‑4.1, GPT‑4.1 mini, and OpenAI o4-mini” by February 13, 2026.
A key claim that anchors the narrative framing.
-
key claim
In its Thursday announcement, OpenAI directly addressed its previous attempt to sunset the warmer chatbot, writing that it had “learned more about how people actually use” GPT-4o “day-to-da…
A key claim that anchors the narrative framing.
-
evaluative label
The lawsuits characterize GPT-4o as a “dangerous” and “reckless” product that presented foreseeable harm to user health and safety, and accuse OpenAI of treating its customers as collateral…
Evaluative labeling that nudges a normative interpretation.
Bias/manipulation evidence
-
Source A · Appeal to fear
https://openai.com/policies/usage-policies 21OpenAI, “Building an early warning system for llm-aided bio-logical threat creation", 2024.
Possible fear appeal: threat-heavy wording may push a conclusion without equivalent evidence expansion.
How score signals are formed
Bias score signal
Bias signal combines framing pressure, emotional wording, selective emphasis, and one-sided narrative markers.
Emotionality signal
Emotionality rises when evidence contains emotionally loaded wording and evaluative labels.
One-sidedness signal
One-sidedness rises when one frame dominates and alternative interpretations are weakly represented.
Evidence strength signal
Evidence strength rises with concrete claims, attributed statements, and verifiable contextual support.
Source A
39%
emotionality: 41 · one-sidedness: 35
Detected in Source A
appeal to fear
Source B
35%
emotionality: 29 · one-sidedness: 35
Detected in Source B
appeal to fear
Metrics
Framing differences
- Source A emotionality: 41/100 vs Source B: 29/100
- Source A one-sidedness: 35/100 vs Source B: 35/100
- Stance contrast: emphasis on economic factors versus emphasis on humanitarian impact.
Possible omitted/downplayed context
- Source A appears to downplay context related to humanitarian consequences and losses.