Category: Craftsmanship

In today's article, we will look at three important topics: Twitter, which strives for transparency by making its recommendation algorithm open-source and dealing with source code leaks, Alibaba, which is undergoing restructuring, and Amazon Sidewalk, which raises questions about the future of IoT.

A week ago, we didn't have our review (I was speaking at the Boiling Frogs conference and simply ran out of time), so now I'm suffering as a punishment - there's so much material that I didn't know which topics to choose. So I decided to make a... calendar.

I think I'd rather tell you again and again about news in generative AI. Unfortunately, after a series of layoffs, lack of investment, and recession, the next horsemen of the apocalypse that just invaded the tech world, we are now seeing banks failing - and ones with strong ties to tech industry.

Since I got a ton of votes that you liked the Weekly about MarioGPT so much a week ago, I figured we'd make today's edition a special one. I'll toss you some of the most interesting links that will give you a better understanding of the mechanics of old games. I say right away - mainly Nintendo consoles, but not only.

Today a mix of my two favorite topics - AI and retro gaming ❤️. In addition, about the big change in YouTube leadership and the new version of GitHub Copilot.

Today, exceptionally, two topics, one well-known to you already (I hope ChatGPT hasn't bored you yet...). However, we will also look at the fate of software conferences after the pandemic.

Today we will present the financial results of Big Tech, so it will blow a little frosty.... the main topic, however, remains a look at how enthusiasts are reverse-engineering the games of our childhood.

Quite a few topics have emerged in the past week, and some exceptionally diverse ones. So there will be about the extinction of projects that reigned in the headlines, the definition of the Open-Source name, and new algorithms! And finally - a model for generating music.

Today we'll devote most of the edition to the Land of the Cherry Blossom, as I've gotten my hands on some insanely interesting texts about it in recent weeks. However, we'll also talk about the cost of cloud computing (here we go again) and lawsuits in the world of generative AI.

All “Basics of Machine Learning” classes look similar. We got a clear goal, perfect datasets, and a set of metrics to test our models. Then the working reality comes and it’s nothing like the artificial environment we were living in. The data is messy, the goal unclear and we need to come up with a solution that will make everybody happy (or at least not raging with pitchforks at our doors).