Emergent behaviour and the boom of AI

How a simple concept gave rise to so much more

Bee drones header image

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.”

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Postman + JsonGrid visualizations

Postman with Enhanced JSON Visualizations

Sharpening the whip! (If that even makes sense.)

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.

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Jekyll SEO AI Action

Using OpenAI's for SEO optimization

Chemistry skunk

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.

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