关于这一集
Despite our best efforts, sometimes what we say we want isn’t precisely what we mean. Nowhere is that felt more acutely than when we’re giving instructions to a machine, whether that’s coding or offering examples to machine learning systems. We unpack the alignment problem in this encore edition of our oral history project.
We Meet:
Brian Christian, former University of Oxford researcher, and author of The Alignment Problem
Credits:
This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.
英语
美国
文字稿 🔗
SHIFT — The Alignment Problem (Brian Christian)
Machine-generated transcript; may contain minor errors. Timecodes are per segment.
===== SEGMENT A =====
[0:02] There's a reason some stories resonate with generation after generation.
[0:07] Like the tale of the Sorcerer's Apprentice, where Mickey Mouse, at least in the version
[0:11] that I know, casts a spell to help him get his chores done more easily.
[0:16] But his instructions are followed a little too closely, and things go quite wrong.
[0:…
Machine-generated transcript; may contain minor errors. Timecodes are per segment.
===== SEGMENT A =====
[0:02] There's a reason some stories resonate with generation after generation.
[0:07] Like the tale of the Sorcerer's Apprentice, where Mickey Mouse, at least in the version
[0:11] that I know, casts a spell to help him get his chores done more easily.
[0:16] But his instructions are followed a little too closely, and things go quite wrong.
[0:…
免责声明: 本页面嵌入的播客和封面图片来自 Jennifer Strong，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
