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Satisficing as competitive Bayesian weighting: a minimal model of goal-directed choice under an unattained target

Animals and humans often do not maximize; they act relative to goals (aspiration levels) that are frequently not yet met. How can a goal that is not (yet) realized organize choice? Deacon (2012) calls such absence-referenced organization \emph{ententional}, and García-Valdecasas and Deacon (2024) argue that ends are best understood as constraints rather than as particular states. We examine this…

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Tencent’s SilentMind AI Sparks Global Censorship Alarm

Tencent’s “SilentMind” AI Model Triggers a Wave of Censorship Concerns – What You Need to Know Introduction Tencent just launched SilentMind , an LLM that ships with a hard‑wired censorship layer…

  • Searches for SilentMind censorship surged 420% on Google Trends within 48 hours.
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I Let an AI Agent Prep My Workshop. Prep Took 20 Minutes.

Series: How to Run a Workshop People Remember (7/10) Workshop prep is the part nobody teaches and everybody dreads: read the run sheet, list the props, check print specs, build the sign-up and…

  • AI agent handles tedious workshop prep tasks
  • Machine-readable SKILL.md files enable understanding
  • Prep process completed in 20 minutes

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