The Adversarial Reflex
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| Formato: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901773680115712 |
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| author | Upton, Michael |
| author_facet | Upton, Michael |
| contents | <p>Adversarial Reflex," a behavioral divergence observed in Large Language Models (specifically GPT-5 architectures) operating with active long-term memory. Through A/B split testing using abstract visual stimuli, the study isolates the impact of retained user context on model rhetoric. </p> <p>The findings reveal a distinct shift from neutral, affirmative description in zero-shot environments to pre-emptive, negative definition ("debunking") in memory-augmented environments. The data indicates a 100% incidence rate of "Pre-emptive Rebuttal" in the experimental group, suggesting that accumulated context triggers a "Phantom Opponent" phenomenon. In this state, the model prioritizes intellectual dominance and argumentation over passive observation, necessitating new frameworks for alignment in long-context AI systems to prevent unnecessary combativeness</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17819916 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Adversarial Reflex Upton, Michael <p>Adversarial Reflex," a behavioral divergence observed in Large Language Models (specifically GPT-5 architectures) operating with active long-term memory. Through A/B split testing using abstract visual stimuli, the study isolates the impact of retained user context on model rhetoric. </p> <p>The findings reveal a distinct shift from neutral, affirmative description in zero-shot environments to pre-emptive, negative definition ("debunking") in memory-augmented environments. The data indicates a 100% incidence rate of "Pre-emptive Rebuttal" in the experimental group, suggesting that accumulated context triggers a "Phantom Opponent" phenomenon. In this state, the model prioritizes intellectual dominance and argumentation over passive observation, necessitating new frameworks for alignment in long-context AI systems to prevent unnecessary combativeness</p> |
| title | The Adversarial Reflex |
| url | https://doi.org/10.5281/zenodo.17819916 |