You’ve probably noticed that two days ago Facebook, Instagram, and Whatsapp went down. Your experience may have been just mildly annoying if you use Facebook just to procrastinate. But for many others, this was a serious issue. In this post, I want to explain to you how it happened, why it may have happened, and why this is important. Let’s start with how the entire Facebook infrastructure went down. The internet is made of a bunch of connected computers (it’s a “net”)....

Last week Elon Musk introduced the Tesla Bot, a 1.7m, 56kg robot straight out of a sci-fi movie (yes, they actually had an awkward dancer in a spandex suit on stage). I want to tell you why it’s BS propaganda, and what we should pay attention to instead. Let’s start with the BS part. Elon claimed that the Tesla bot will take care of “dangerous, repetitive, boring tasks”. An example he gave is going to buy groceries (not really dangerous, maybe boring)....

Today there is a lot of conversation around making the tech world more inclusive. And there are good reasons: just 17.2% of ICT workers in the EU are female, and 91% of the US tech workforce is white or Asian. In short, almost everyone in tech is a white dude. But there’s another inclusivity problem in tech that is often underlooked. Being inclusive doesn’t mean just hiring diverse people. To be really inclusive you also need to make technology understandable for everyone....

Next week Spain will start enforcing its new law on gig workers. This is one of the novelties of the regulation: The legal representation of the workers must be informed of the rules contained in the algorithms and artificial intelligence systems that can affect the working conditions by which the platforms are governed. What does it mean? Let’s take the example of food delivery. If you’re ordering food you care about how long it will take to get to your doorstep....

I believe that people are the secret sauce to succeed in AI. It may sound paradoxical, but human creativity and cooperation are the foundation for machine intelligence. It also works the other way around, though: humans can be the bottleneck to successful AI projects. I recently worked on a project that involved multiple units of my client’s company. We identified a clear need, gathered the data, and prototyped a complex system....