TechnicalAI glossary
Deep learning
Deep learning with multi-layer neural networks ("deep" networks). This is the technique behind the AI wave since 2012.
In other words
The more floors there are in the factory, the more sophisticated the finished product.
Alyriaz articles that mention it
- AMD snaps up Fei-Fei Li's 3D worlds start-up
AMD acquires World Labs, Fei-Fei Li's start-up that turns an image into a 3D world, for 8.2 billion dollars. Why this choice.
- AI, machine learning, deep learning: what contains what?
Artificial intelligence, machine learning, deep learning, generative AI: these terms refer to nested sets, not synonyms. Let's clarify once and for all, with concrete examples.
- What are we passing on to our children when AI already knows everything?
For the first time in human history, parents are passing on to their children skills that a machine already performs better than they do. Reading, writing, arithmetic, memorising: the machine wins. So what? Few people dare to ask this question directly. And yet it is probably the most important one of our age.
- $500 million in 30 days: the company that discovered the true price of open-access AI
The story sounds absurd: a company that spends half a billion dollars on AI in 30 days, by accident. But when you look closely at what is happening in large companies in 2026, it is no longer a one-off. It is the wake-up call of a usage bubble that has just hit the wall of economic reality. Microsoft, Uber, Amazon: everyone is affected.
- Deepfakes: what this technology really changes in our relationship with images
This article addresses the subject of non-consensual deepfakes, including those of a sexual nature. The tone is factual, not activist. The aim is to understand what is genuinely changing in our relationship with images in 2026, without dramatising or downplaying it. No graphic description is given; only the data and the legal reality are analysed.