Imagine pair programming with an eccentric software developer… OK, good point— I mean more eccentric than usual. …anyway— they have fantastic long-term memory, but terrible short-term memory. They are polite to the point of obsequiousness. They can type thousands of words per second and they like to make fifty unrelated code changes at once.

As of today (2024-12-02), it has been 1000 days since Crossref updated its [POSI](https://openscholarlyinfrastructure.org/) self-assessment. That translates to almost 2 years and 9 months.

About Below is an adaptation of a paper on “AI” that I wrote for the Crossref board for our meeting in November 2023. A few board members encouraged me to post the update, but we never got around to it. I don’t work for Crossref anymore, but I thought it would still be worth sharing this if only to go on the record about my views on AI and machine learning at the time. Looking it over in June 2024, I don’t think I’d change much.

I made several predictions in this interview, and it's interesting to see which ones played out.

I was recently asked by somebody to speculate about generalizable application features that might help researchers in their work. I responded to them directly, but thought it might be worth repeating part of my response here. Since the early 1990s I’ve wished that the OS (any OS) would support a “Paste &

Jon Udell and Ross Mayfield have are talking about the use of social software and trust-circles as tools to find relevant and authoritative content on the web. Sounds familiar. I’ve long thought trust circles (amongst other trust metrics) are key to addressing the “Internet Trust Anti-Pattern“. It may sound incredibly un-hip and reactionary, but to hell with the wisdom of crowds.

Will implementing a good information architecture destroy your Alexa rating? Mike Davidson has done a brief analysis of MySpace which basically shows that “Page Views” could be the new “Line Count” in stupid metrics.

In a Guardian article dated Saturday July 8 2006, Pico Iyer talks about how Google and other search engines have distorted the literary interview. He describes how interviewers prepare themselves by researching their subjects online and how search results tend to artificially highlight and emphasize interesting, but effectively trivial information about the interviewee.

I was recently pondering the characteristics of so-called “cult fiction” and was trying to remember how it was that I learned about certain cult authors back before this thing called the Internet existed. How did I learn about Vonnegut, Pynchon, Roth? As I dredged through my memories I realized that I most probably ran across these authors whilst using an early analog social bookmarking system- the library checkout card.

I was relatively late in learning of the term “backchannel”. It describes a phenomena that I have been fumbling to explain to people as being *one* of several reasons for them to use instant messaging (IM) as a regular tool in the office.

The “My Rating” feature on iTunes has always felt a little clumsy. First of all, I hardly ever listen to music on iTunes itself- I listen to most of my music on my iPod. Secondly, I don’t want to have to *do* anything convoluted or extra in order to register that I like or dislike a song.