Linkdump #2

It's super exciting looking back at 2024. So much has happened! I haven't been very active on this blog lately, mainly because I've been super busy in other areas of life. The biggest change for me this year is one that I can cross off of my impossible list: We bought a house! I've been wanting to write post about this for a few weeks, and now...

I just had the pleasure (cough) to connect an MSSQL database to a Laravel application at work. Because the process was super tedious, I wanted to quickly jot this down so I will never have to go through this again. Our setup We're building a Laravel application with DDEV. DDEV essentially moves all development tools into Docker containers and...

The term "AI Slop" is currently on the rise. It describes all the AI generated images and texts we see on the internet. I'd like to propose a term that basically describes the opposite of AI Slop: Mental AI Fog. Instead of consuming too much AI generated content (which also applies), AI Fog describes the inability to produce content without the...

I just rewrote parts of my Positive Hacker News RSS Feed project to use an ML model to filter out any negative news from the Hacker News timeline. This method is far more reliable than the previous method of using a rule-based sentiment analyzer through NLTK. I'm using the model cardiffnlp/twitter-roberta-base-sentiment-latest, which was trained...

Embedding models have long been a daunting concept for me. But what are they? And why are they so useful? Let's break it down in simple terms. What's an embedding? An embedding is basically a numerical representation of a piece of information - it could be text, audio, an image, or even a video. Think of it as a way to capture the essence or...