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  1. Mercury ran a profile of me last week, written by Brooke Jackson-Glidden, which is generous and gets the thing I care about right.

  2. Almost two years ago I wrote a post here about a repo called sky-feeder, which at the time was about four days old and consisted mostly of a JSON schema and a great deal of optimism.

  3. If the original sin of Web 1.0 was the pop-up ad, the original sin of web 2.0 was the move to algorithmic feeds.

  4. There's no shortage of analogies for explaining what an LLM is capable of - one of the best, though, is from this New Yorker article proclaiming it as a "blurry JPEG of the web".

  5. Long short-term memory models (LSTMs) are a family of neural networks that are predominantly used to predict the next value given a historical chain of previous values.

  6. Recently, I gave a talk at the PIE/Autodesk space to help contextualize some thoughts that have been percolating with regards to the nascent introduction of API-based, widely available LLMs like ChatGPT.

  7. Over the summer, I got really interested in the Helium network.

  8. Big news!

  9. For the past year, I've been increasingly focusing on what I have come to call "sociotechnical security" - whereas "technical security" seeks to identify and remove unintended flaws in the architecture of platforms, "sociotechnical security" is all about…

  10. About 10 days ago, I saw a post for a ridiculously cute car of a make and model that I previously did not know existed: I knew about MGBs and how they had a fairly terrible reputation but this thing looked so slick.

  11. @TAP_deals is a bot on Twitter that uses machine learning to extrapolate the estimated value of a plane based on historical trends from listings of all other planes on Trade-a-Plane.com.

  12. Large-Scale Missing Data in a Widely-Published Reddit Corpus As researchers study complex social behaviors at scale with large datasets, the validity of this computational social science depends on the integrity of the data.

  13. Stop Sign Detector

    I bought a Raspberry Pi a while back without much of a plan for what it would ultimately work on.

  14. Background On December 5th, the following tweet passed through my timeline: The DudeBro Tournament 2016 pic.twitter.com/z8Ei56dBKX— DudeBroWatch👮🚨 (@DudeBroTourney) December 6, 2016 Embedded JavaScript To which I replied: @NateSilver538 please run some br…

  15. When I first heard about Amazon Lambda, I was skeptical.

  16. Building a Network of Conversation Points Over the summer, I spent the summer working with a good friend Gilad Lotan as a data science intern at Betaworks.

  17. This last week, I attended a several day seminar about combating online harassment, saw an academic friend get an award for her book on trolling from the Association of Internet Researchers (you should buy it), and I ended the week by seeing this cover fr…