The paper defines accidental meltdowns as unsafe agent behavior triggered by benign errors and reports that such meltdowns occur in 64.7% of evaluated rollouts across GPT, Grok, and Gemini agents.
2013), 117
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
Workshop participants preferred bounded, faithful AI agents that evolve only while the user retains capacity and then remain static, leading to a proposal that configuration for post-capacity use reshapes provenance, temporality, and legitimacy in post-mortem agent design.
Empirical analysis of 338 PRs with self-admitted ChatGPT usage shows low full integration (median 25%), selective adaptation patterns, and broader influence on developer reasoning during reviews.
Peer supporters bear concentrated emotional labor from institutional ambiguity and judge AI by its effects on redistributing responsibility and risk within fragile support roles.
citing papers explorer
-
Agent Meltdowns: The Road to Hell Is Paved with Helpful Agents
The paper defines accidental meltdowns as unsafe agent behavior triggered by benign errors and reports that such meltdowns occur in 64.7% of evaluated rollouts across GPT, Grok, and Gemini agents.
-
Acts of Configuration: Rethinking Provenance, Temporality and Legitimacy in Post-Mortem Agents
Workshop participants preferred bounded, faithful AI agents that evolve only while the user retains capacity and then remain static, leading to a proposal that configuration for post-capacity use reshapes provenance, temporality, and legitimacy in post-mortem agent design.
-
PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes
Empirical analysis of 338 PRs with self-admitted ChatGPT usage shows low full integration (median 25%), selective adaptation patterns, and broader influence on developer reasoning during reviews.
-
"I'm Not Able to Be There for You": Emotional Labour, Responsibility, and AI in Peer Support
Peer supporters bear concentrated emotional labor from institutional ambiguity and judge AI by its effects on redistributing responsibility and risk within fragile support roles.