3 papers
cs.CL2026
BCMT: Blockwise Causal Memory Transformer
Rachid Arezki
Transformer architectures rely on dense self-attention to model long-range dependencies, but this mechanism exhibits quadratic complexity with respect to sequence length. We introd…
cs.CL2025
AI-AI Bias: large language models favor communications generated by large language models
Walter Laurito, Benjamin Davis, Peli Grietzer +3
Are large language models (LLMs) biased in favor of communications produced by LLMs, leading to possible antihuman discrimination? Using a classical experimental design inspired by…
cs.CY2025
Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development
Jan Kulveit, Raymond Douglas, Nora Ammann +3
This paper examines the systemic risks posed by incremental advancements in artificial intelligence, developing the concept of `gradual disempowerment', in contrast to the abrupt t…