JavaScript Wikipedia

Shaking Wikipedia Categories to See What Pops Up

I’ve been spending the last few days playing with my favorite mental chew toy, the question “How do you ask for what you don’t know?” It’s an important question because every search engine query above a certain level of complexity involves filling in a knowledge gap. How you understand, define, and contextualize that gap means […]

Date Search Mojeek Wikipedia

Making Location-Based Timelines With Wikipedia, Wikidata, and Mojeek

I started learning JavaScript in Mayish 2022. I wanted to make tools to address some of the things I disliked about Google search, and after looking around it seemed like JavaScript was the best solution. So I signed up for a course, thrashed and flailed my way through 50 of the 59 lessons, and then […]

Information Trapping Mastodon

Keep An Eye on the Fediverse With the Mastodon Hashtag Monitor

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 […]

Date Search Mojeek Web Search

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 […]

Date Search Web Search

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 […]

Local Search Wikipedia

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, […]

Date Search News Web Search Wikipedia

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 […]

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