Heather's PhD graduation ceremony was today. She has two of three signatures, and still needs to submit an archival copy, but otherwise is basically done. I am so proud of her.
The valedictory speech by Daniel Hernandez (also known as the editor of the Daily Cal) was very good. Prof. Christ's speech was also good. Prof. Adelman's speech was not bad, but had a somewhat defensive tone regarding the importance of English vs other more ostensibly practical pursuits, including a potshot at computer science.
Heather's father and youngest sister were there, as were the kids and I. Also, Marty and Jan. Jan seemed offended that I shook her hand in parting (as opposed to a hug). Oh well.
Low tech trust vs. high tech trust
I had an interesting discussion with Roger Dingledine and Luke (hacker-name armitage) over lunch at ETCon about the importance of manual input into attack-resistant trust metrics. Advogato uses the explicit,
[shit - this part of my entry got deleted - anyone have a cached version? Add "retrieve previous version" to m/ wishlist.]
Trust metrics need manual input. Advogato uses manually-entered trust links. Google uses hyperlinks, which are usually manually entered.
"Low tech trust" is a pattern of manual information flow across trust links. Example: links to recommended content, represented by "hot lists" in the early days of the Web, blogrolling today. You can find a well recommended blog by starting with one you know, and clicking blogroll links. Google's PageRank calculates something similar.
Example: personal music recommendations. Automated recommendation systems (Firefly, Amazon) don't work as well as just getting recommendations from friends.
Both examples are attack-resistant, borrowing the analysis from trust metrics. In blog rolls, trust graph is explicit. In music recommendations, trust graph is implicit in flow of recommendations (they only flow between friends).
Low tech trust is good. Automated computation is harder, but opens interesting doors. Example: manual clicking on links is good at finding high quality random site, but Google is good at finding high quality site relevant to search term (and quickly, too). Killer apps for trust metrics will probably follow the same pattern.