Most technology nerds know “tel” as a prefix meaning “transmission over a distance,” as in telecommunications, television, or telemarketing. Most are unfamiliar with an altogether different meaning as found in the phrase “technology tel,” which is the modern and digital equivalent to an archaeologist’s tel.
Blockchain is one of several technologies du jour. It combines clever methods from peer-to-peer decentralized computing to provide an online tracing function for virtual transactions, and, once someone sets it up, it requires minimal intervention from a central auditor. While Bitcoin is the most well-known application of this innovative computer science, verification of authenticity and identity are key functions for many transactions.
News coverage of automation and machine learning tends to focus on extraordinary events, such as computers winning at Jeopardy and Go, and robotic arms flipping burgers in short-order restaurants. Additional headlines foster a sense of nightmares, conjuring pictures of autonomous cars killing pedestrians and newly automated establishments laying off their workforce.
I’m at the Brookings Institution today for an event which will, in part, be the launch of my report for The Hamilton Project on “Enhancing Competition with Data and Identity Portability.” You can download the report here and
A company called curio.io offered to take certain posts on Digitopoly and have a professional narrator read them. I have heard that many people like audio versions of written stuff and so was happy to let them at it. Their first post is below.
It is very easy to posit a sense of exploitation when it comes to data. Try this for size: “Networks are relying on data by individuals but they aren’t being paid and this is making those networks profitable.” Substitute “plantations” for “networks,” “labour” for “data,” and “individuals” for “slaves” and you get the picture.
Eric Budish has a new paper out on “The Economic Limits of the Blockchain.” He demonstrates a potentially fundamental contradiction at the heart of ‘proof of work’ schemes to support cryptocurrencies — the most famous of which is,
That was the topic of a panel I was involved in at the Chicago Booth Annual Antitrust Conference last week. One thing you get from a Chicago panel is a diverse range of opinions. The panel was motivated by an article in the Yale Law Journal by Lina Khan written when she was a student and, having heard her speak now, she has ‘future politician’ written all over her.
[with Ajay Agrawal and Avi Goldfarb, originally published in HBR Online under the title “Is your company’s data actually valuable in the AI era?” , 17 Jan 2018. Their book, Prediction Machines, is coming out in April 2018].
[with Ajay Agrawal and Avi Goldfarb, originally published in HBR Online under the title “Is your company’s data actually valuable in the AI era?” , 17 Jan 2018. Their book, Prediction Machines, is coming out in April 2018].