A point cloud, shaped like a brain, generated in code rather than modeled or rendered from a stock file. It turns slowly. The bright nodes are not decoration: each one is a real area of focus, drawn from what I actually work on and read right now. Drag to look from another angle. Hover or tap a node for what it holds.
드래그하여 회전, 노드에 마우스를 올리거나 탭하세요.
위의 노드에 마우스를 올리거나 목록에서 선택하세요.
전문 분야
생각하고 있는 것
읽고 있는 책
모든 것을 관통하는 하나의 맥락
이 방에 대하여
The shape is procedural, not a medical scan: two overlapping point-clouds stand in for the hemispheres, a folded surface for gyri, generated live in your browser. The content is real, the same public "Digital Brain" material from the current site: areas of expertise, current reading, current thinking, the pull quote, just given a better home.
마우스를 사용하지 않는 분들을 위한 모든 노드
AI 거버넌스: How a system earns the right to be trusted, not just the right to be used.
머신러닝: The craft underneath the claims. I want to know what a model actually did, not just what it says it did.
규제: Rules are only as good as the evidence a regulator can independently check.
리더십: Building a company around a hard technical bet, and staying honest about what is proven versus not yet.
검증 가능한 AI 결과물: What it would take for any output to carry its own proof of how it was produced.
LLM 환각 줄이기: Less a bug to patch than a property to measure, honestly, every time.
EU AI법 준수 도구: Turning a legal deadline into something a small team can actually build against.
에이전트형 AI의 미래: Systems that act on their own need an audit trail even more than systems that only answer.
The Alignment Problem: Brian Christian. Where the machine-learning story and the ethics story stop being two separate books.
Human Compatible: Stuart Russell. The argument for building systems that stay uncertain about what we want, on purpose.
AI 2041: Kai-Fu Lee. Ten near-future scenarios, useful precisely because most of them are already starting to happen.
핵심 인용구: The future belongs to those who understand that trust in AI must be built, not assumed.