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Pages

Posts

How Safe Is Safe Enough — and Who Decides?

12 minute read

Published:

Risk numbers are easy to produce; thresholds are hard to own. Where the safety threshold α comes from, the three answers older industries gave, why physical AI bends all of them — and why everyone touches the threshold but no one signs it.

What Is Physical AI Deployment Assurance?

8 minute read

Published:

Physical AI deployment assurance turns ‘it works’ into ‘you may run it here’: defensible evidence for a specific site, explicit assumptions, and a clear owner for the residual risk.

Physical AI Deployment Assurance란 무엇인가

8 minute read

Published:

Physical AI Deployment Assurance는 ‘작동한다’를 ‘이곳에서 운용해도 된다’로 바꾼다: 특정 현장에 대한 방어 가능한 증거, 명시된 가정, 그리고 남은 위험의 분명한 주인.

Physical AI Is Easy to Demo, Hard to Deploy

8 minute read

Published:

A demo is an existence proof; a deployment is a claim over the conditions a site will actually produce. Why that gap is structural — and why the internet’s ship-to-learn playbook doesn’t transfer to machines that share our space.

피지컬 AI의 데모는 쉽지만, 현장 배치는 어렵다

7 minute read

Published:

데모는 존재 증명이고, 현장 배치는 특정 장소가 실제로 만들어낼 조건들에 대한 주장이다. 이 간극이 왜 구조적인지, 그리고 인터넷 소프트웨어의 ‘배포하며 배우기’가 왜 사람과 공간을 공유하는 기계에는 통하지 않는지 다룬다.

portfolio

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
Download Paper

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.