2 articles tagged with #self-reference. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers present N2M-RSI, a formal model showing that AI systems feeding their own outputs back as inputs can experience unbounded complexity growth once crossing an information-integration threshold. The framework applies to both individual AI agents and swarms of communicating agents, with implementation details withheld for safety reasons.
Researchers propose using emergent language in multi-agent reinforcement learning as a methodology to study artificial consciousness, where agents develop communication from minimal constraints to reveal whether consciousness-relevant structures arise from task demands rather than human language biases. A proof-of-concept demonstrates agents spontaneously develop self-referential communication and an echo-mismatch detection mechanism, suggesting genuine cognitive emergence rather than inherited patterns.
