Over 15 years ago I wrote a book called Information Trapping. It was about how to set up online monitors to find online information around certain keywords and keep it coming as a flow to you via tools like RSS, page monitors, etc. As you might imagine, Information Trapping’s resources and tool listings are very […]
Using ChatGPT to Double-Distill Mojeek Results into a Date-Based Topic Overview
My concern about AI-assisted search results has been, from the beginning, the lack of human context. A simple query is rarely going to be sufficient in itself; after all, the user is searching because of some existing information lack. Outside of the most basic queries (When is a movie playing? Where is that restaurant? How […]
Evaluating ChatGPT’s Knowledge Based On Year of Source Data
I’ve been talking to myself in JavaScript about Google’s terrible AI results and why it’s so difficult to have AI turn scraped web into useful search results. I made a thing that does a Mojeek search and restricts results to a specific year via url pattern matching/result filtering. It then retrieves and bundles the filtered […]
Nosy Raleigh v2 Now Available!
I am very pleased to announce that V2 of Nosy Raleigh is now available! Nosy Raleigh uses Open Data Raleigh datasets to map news and happenings in Raleigh, North Carolina, as well as provide information on local news and local government Twitter feeds. It’s available, free and free of ads, at https://www.nosyraleigh.com/ . Let me […]
Turning Raleigh Trees into Hyperlocal News Reporters
I’m having so much fun playing with Raleigh’s tree dataset and giving the trees something to say. Today I gave the trees some hyperlocal news mojo. How it works: when you ask a tree for local news, the program checks to find streets nearby. It then uses a news API to check WRAL, WTVD, and […]
I Talk to the Treeeeessss… with a ChatGPT API Call
I’ve learned enough since last October that I can revisit my project of having Raleigh’s trees act as tour guides for surrounding areas. The city of Raleigh offers an open dataset of city trees. Not every last tree in the city, of course, mostly trees on city property. My old program searched the tree database, […]
AI Is Better With Human Attention As Search Context
Human attention as context for Internet search is immensely powerful. Having an understanding of WHEN a topic was of particular interest allows you to create date-bounded searches that provide more information-rich results and less junk. Which is why it drives me absolutely bonkers that we have a gold mine of human attention records in the […]
Adding a Date Mode to My Google Alerts Replacement
If you’ve been reading my stuff for a while you may remember me talking about the idea of persistent metadata. By “persistent metadata,” I mean that every thing in a physical universe can be identified by WHERE they are and WHEN they are. A person is born here, educated here, works here, moved here, died […]
Remaking Google Uncle Sam (Sort Of) With Mojeek and a CISA Dataset
Do you remember Google Uncle Sam? I can’t blame you if you don’t; Google killed it off in 2011. It was a specialty search offering of Google’s that restricted its results to .gov sites. Very useful! There was a lot of grumbling after it was shut down; in fact, I made a replacement in 2012 […]
Mixing Mojeek and Wikipedia
I really am trying to not get distracted by the Mojeek API, but people keep saying how bad Web search is right now, and the more they say that the more I think of other options. I very much like the way Mojeek offers the ability to “focus” your search by limiting it to a […]