[This is the third post in a series. The other posts are here: 1 2 4] On Thursday I wrote about progress in computer chess, and how a graph of Elo rating (which I called the natural measure of playing skill) versus time showed remarkably consistent linear improvement over several decades. I used this to argue […]
Singularity Skepticism 2: Why Self-Improvement Isn’t Enough
January 4, 2018 by
[This is the second post in a series. The other posts are here: 1 3 4] Yesterday, I wrote about the AI Singularity, and why it won’t be a literal singularity, that is, why the growth rate won’t literally become infinite. So if the Singularity won’t be a literal singularity, what will it be? Recall that […]
Why the Singularity is Not a Singularity
January 3, 2018 by
This is the first in a series of posts about the Singularity, that notional future time when machine intelligence explodes in capability, changing human life forever. Like many computer scientists, I’m a Singularity skeptic. In this series I’ll be trying to express the reasons for my skepticism–and workshopping ideas for an essay on the topic […]
AI and Policy Event in DC, December 8
November 22, 2017 by
Princeton’s Center for Information Technology Policy (CITP) recently launched an initiative on Artificial Intelligence, Machine Learning, and Public Policy. On Friday, December 8, 2017, we’ll be in Washington DC talking about AI and policy. The event is at the National Press Club, at 12:15-2:15pm on Friday, December 8. Lunch will be provided for those who […]
On Encryption, Archiving, and Accountability
July 7, 2017 by
“As Elites Switch to Texting, Watchdogs Fear Loss of Accountability“, says a headline in today’s New York Times. The story describes a rising concern among rule enforcers and compliance officers: Secure messaging apps like WhatsApp, Signal and Confide are making inroads among lawmakers, corporate executives and other prominent communicators. Spooked by surveillance and wary of […]
