Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systems
Conversational AI systems (CAISes) continuously change through model releases, feature updates, safety interventions, and access-policy shifts, yet user perceptions are often studied as static snapshots. We conduct a long-term, large-scale analysis of Reddit discussions to examine how users perceive CAIS model release interventions across providers. By combining sentiment classification and thematic concept analysis, we show that CAIS perceptions are dynamic and intervention-sensitive. Anthropic exhibits the clearest positive release profile through Claude Code and product-model fit, OpenAI sh
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%Launch HN: Agnost AI (YC S26) – Extract user feedback from agent conversations →
- PossiblePossibly related (embedding) · 53%What's one thing AI does surprisingly well that you didn't expect? →
- PossiblePossibly related (embedding) · 52%I built a native Reddit app where a council of 5 AI agents debate and roast your project ideas →
- PossiblePossibly related (embedding) · 52%EU's AI labeling rules take effect next month →
- PossiblePossibly related (embedding) · 52%Our teens are using AI chatbots daily. It's our fault. | Opinion - USA Today →
- LinkedLinked via arxiv author · 85%Vahid Rahimzadeh →
“Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI System”
- LinkedLinked via arxiv author · 85%Yury Zhauniarovich →
“Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI System”
- LinkedLinked via arxiv author · 85%Savvas Zannettou →
“Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI System”