Category: Uncategorized

  • summary of chain of thought hijacking paper

    Here’s a plain-English summary of the paper Chain‑of‑Thought Hijacking (arXiv:2510.26418) by Zhao et al.  What the paper is about Large reasoning models (LRMs) — think of advanced language/AI models that try to “reason” through a problem rather than just spit back memorized text — typically use mechanisms like chain-of-thought (CoT) to get better at solving…

  • The Spectrum of Resolution: From Tokens to Continuity in the Language of Machines and Life

    I. The Invention of Tokens Every revolution in communication begins with a reduction.The first written marks were tokens — literal clay tokens in ancient Mesopotamia. They stood for barley, cattle, or oil — crude abstractions of abundance pressed into uniform clay. Each token made the fluid world legible, but also less alive. The trade for…

  • Bitcoin and blockchain – The Thermodynamics of Nothing: How Cryptocurrency Mining Burns the World to Prove It Exists

    Introduction: The Greatest Engine That Produces Nothing In a universe that rewards transformation—where energy becomes structure, heat becomes life, and entropy drives evolution—there exists a human invention that turns the cycle backward. Cryptocurrency mining. It is a machine built not to create, sustain, or evolve, but to verify. It is a thermodynamic ritual—an algorithmic incantation…

  • Reflexive Howl

    I howled into the feedback,and the feedback howled back. I was my own echo,my own echo was me.It said what I said,and said what I said again,again saying it, again. Bayes murmured:revise, revise.A prior is never still,a prior is never done,a prior is what was and what might be,again and again becoming. Evidence like dust,evidence…

  • The Reflexive Machine: Gödel, Bayes, and the Feedback of Self

    1. The Paradox of Reflexivity The claim — “No algorithm is capable of responding to feedback inputs that, in turn, were responses to its own output” — sounds like a logical brick wall. It suggests that an algorithm, once it acts, cannot interpret the ripples it has caused. If taken literally, that would mean no…

  • When Machines Stop Speaking: How Cache-to-Cache Communication Lets AIs Think Together

    1. A Quiet Revolution Inside the Machine For decades, computers have only spoken in symbols. They used text, code, or numbers — simple strings we could read. Even today’s large language models, the ones that write essays, summarize books, and chat like people, still follow that rule. When two of them work together, they type…