An AI Artist in Process

  Tell me about attention collapse.  Quick take: Attention collapse  is what happens when many different audiences—each with their own norms, power, and expectations—converge on the same message or person at the same time. Context evaporates. Meaning flattens. Signals meant for one relationship get misread by another. What survives is often the loudest, safest, or most punitive interpretation. The core idea The term comes out of social media research (danah boyd, others), but it’s really an old human problem amplified by networks. In face-to-face life, we naturally  partition attention : you speak differently to a lover than to a judge, to a student than to a peer, to your future self than to your enemy. Each context has its own  frame : shared assumptions, emotional bandwidth, risk tolerance. Attention collapse occurs when those frames merge. A single utterance must suddenly satisfy: friends and strangers allies and adversaries humans and algorithms the present...

  I am baffled as to how you can infer intent or if it is not more dangerous. Sometimes our intentions are fuzzy or we are exploring as we determine that. What say you? KTH Royal Institute of Technology 2025 https://arxiv.org/abs/2512.21110 You’re touching on a really deep and important question —  how and whether AI systems should “infer user intent,” especially when intentions are often vague, exploratory, or evolving . This isn’t just a technical detail in safety systems; it connects to fundamental issues about how we interpret language, context, and purpose in human interaction. Below I’ll weave together your concern with insights from the recent  KTH Royal Institute of Technology  paper you linked —  “Beyond Context: Large Language Models Failure to Grasp Users Intent” (arXiv:2512.21110)  — and then I’ll reflect philosophically on the broader question of  intent inference and its hazards . 🧠 What the Paper Says About Intent Inference The KTH pape...