12 Jun 2023
I have been fascinated with dream interpretation for a long time. So, over the weekend I decided to create a database of >13k recorded dreams I scraped from the web. The database allows me to perform semantic searches rather than just plain-text searches, and beyond that it even allows GPT-enabled question answering. For example, I can ask the Q&A bot questions like: “Please search all dreams containing animals, and give me a list of their activities.” Not only does the bot have an understanding of what constitutes an animal (deer, elephant, snake, spider…), but it provides ChatGPT-like, meaningful answers in the style of ChatGPT. Here’s how I did it.
18 May 2023
While GPT models have been around for a few years, it was only after the arrival of OpenAI’s ChatGPT that they caught the wider attention of the public. Frantically, managers and IT specialists alike are searching for ways how they can make best use of this new technology. As usual, the first ideas will turn out to be not necessarily the most mature, and it will take some time until the full potential – and the restrictions – of these GPT models are generally understood.
08 Dec 2022
I’m writing an Angular 14 app with Google Firebase Firestore as a database. I assumed that developing the Firestore Security Rules with Firebase web v9 by writing Karma/Jasmine unit tests should be not too hard. After all, Karma is Angular 14’s default test runner, no? Turns out that using Karma to develop or test Firestore Security Rules is a bad idea. You should use Jest (or maybe Mocha) instead.
07 Jan 2021
A few days ago I found a Bitcoin wallet.dat on a Macbook from 2011. Here is how I managed to cash in on it.
