A black and white figure's thought-hive
I ported Micrograd to Rust
You might remember that I was doing small applications in Rust to try out the language, learn about it and eventually become a pro at it. That’s… in progress. But in the meantime, I’ll tell you about which things I’m finishing up and I’m learning.
I ported Andrej Karpathy’s Micrograd into Rust, but then I took a few design choices of my own.
A spectrum of organization techniques
If you read this blog, you know I’m a productivity junkie. Yeah, I’m one of those that will test different organizations mechanisms, applications, and approaches to life and tasks. However, there are a few patterns I’ve been noticing over the years and here… sometimes, less is more.
How to choose, set up and use a personal media server
In the last few weeks, I set up my own media server to replace a particular service I did not want to pay anymore. It felt like a huge chore with lots of options but it’s not so difficult once you get into it.
Here’s my journey and hopefully it’s useful to you too.
Based on a true story
I got so mad about this that I had to write a blog post. Consider this an edu-rant.
Who needs to write anyway
I learned Rust and I decided to make something to automate blog post creation with GPT-4o. I’ll tell you a bit how that worked out.
Keep your notes in sync
For a few years now I’ve been using Obsidian as my second brain. The magic of Obsidian is that it’s only a bunch of markdown files and a clever editor on top of it. This means that any file-syncing solution should be good enough. But the truth is a little bit more complicated than that.
Natural language is hard!
This whole shebang about AI and AI-enhanced products has led me to one of the products that have become part of my daily usage: Perplexity.AI. It’s a search engine where you ask questions and it gets your answers from the internet.
Let me take you back a couple of decades before we go back to it.
How a simple concept gave rise to so much more
This year has witnessed a significant transformation in the world, all thanks to a singular technological advancement: improved text prediction.
It is not a joke nor an exaggeration. The blossoming of AI that we’ve seen can be traced back to OpenAI’s text completion model, GPT. It is not the first, nor the last, nor the best, but it made itself available to everyone in a way that allowed people to build over it. Applications quickly proliferated, finding new uses and capabilities that were previously unimaginable.
How is this possible?
It all stems from a concept known as “emergent behaviour.”
Postman with Enhanced JSON Visualizations
For a while (a few years) I’ve used Insomnia as my favorite REST Tool. I’ve also looked with good eyes at Hoppscotch, but it being browser-based means that you need to go through a lot of hurdles for local development (and I’ve just never had the patience).
But being that everyone still uses Postman, I decided to switch back. It’s not about just following the majority, but ensuring that there’s an active community for the tools that I use. Also, I initially was scared of Postman becoming too close to force to sell paid plans, but the years proved me wrong. Finally, all the extra features I needed eventually made it there.
Using OpenAI's for SEO optimization
I wanted an excuse to try something with OpenAI’s GPT-3 models, and while writing on this blog I realized that most of the pages could have a description autogenerated for them. This seemed like a good fit for a GitHub Action too, so here I explain how I set up my new project Jekyll SEO AI Action.