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  • What Auto Research Lacks Is Not More Answers, but a Gate
    2026-09-05 AI · Research · Auto Research
    When candidates, code, and proofs can all be generated at high speed, what is scarce is no longer answers, but deciding what is worth sending into costly validation, what should be stopped, and how rejection itself can leave behind knowledge.
  • Dual-Track: A Scalable Governance Architecture for Auto Research
    2026-09-05 AI · Research · Auto Research
    Dual-track is not two validations of the same conclusion. It is a recursively callable governance unit: logical problems lead to formalization, engineering problems to reproducibility, and currently indeterminate problems remain outside the boundary.
  • I Am Uncertain Whether AGI Will Arrive, but I Am Willing to Help Build It
    2026-09-05 AI · AGI · Research
    I am neither certain that AGI will be realized nor certain that it will not. I am willing to help build it while retaining the right to observe, doubt, and be changed by evidence.
  • Cross-Domain Transfer Is Not Analogy: How a Non-Expert Can Avoid Being Misled by a Sense of Isomorphism
    2026-09-05 cross-domain · research · method
    Seeing two domains as similar is enough to generate a candidate, but nothing more. Genuine cross-domain transfer must also explain how objects correspond, which structures are preserved, what is lost, and what result could show that the transfer has failed.
  • Preventive Care: Turning Complex Medical Knowledge into Daily Habits
    2026-09-05 Traditional Chinese Medicine · Learning · AI
    If there is anything I hold closer to a belief than AGI, it is not that a particular technology is certain to arrive, but that complex medical knowledge may leave the studies of a few and become habits that ordinary people can understand, accumulate, and use in daily life.
  • What Lean Proved—and What It Did Not
    2026-09-05 AI · Research · Formalization
    Lean does not prove that I understand MRI, nor does it vouch for reality. It decides only a narrower question: under the definitions, assumptions, and axioms written into the system, does the conclusion actually follow?
  • From Minimax to MRI: How the Dual-Track Framework Took Shape
    2026-09-04 AI · Research · Validation
    I did not begin by designing a research methodology. It gradually came into view through Minimax's reproducibility work and MRI's formalization practice: logical questions go to formal systems, engineering questions to reproducible results, and questions that fit neither are left aside for now.
  • AI Does Not Think for Me. It Makes My Intuition Refutable.
    2026-09-04 AI · thinking · cognition
    I may not be able to state the right answer first, but I often know when an answer has drifted. AI gives that vague direction a form—and with it, the possibility of correction and refutation.
  • I Can't Write Code, but That Doesn't Mean I Don't Understand Systems
    2026-09-04 AI · engineering · systems
    AI has lowered the cost of implementation, but it has not made system problems disappear. How can someone who does not program line by line take part in a production system—and which limits must they acknowledge?
  • The Sea During a Typhoon: Why I Stopped Tracking AI
    2026-09-04 AI · thinking · long-term
    The stronger the models become, the faster the surface changes. I stopped trying to record every wave and started looking for where the wind comes from.

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