Wayve, the London-based AI self-driving startup, has raised $1 billion again, defying doubts about self-driving tech. Or is it money well wasted?

The question is not how AI works. The question is how well it works for your customers. Do they know? Do you? That's what we're discussing in the latest Recurrent Patterns.

Some AI companies think venturing into the enterprise market is a gold mine. They are more likely to end up with a lump of coal.

Open source software is supposed to help companies innovate and collaborate. I question whether the biggest tech companies in the world are using the open source framework to actually stifle competition from startups.

Are we running out of data the same way we are running out of oil? Media reports suggest we are exhausting our supply of data to train AI. It turns out those stories have a lot in common with past predictions that we would run out of oil.

Are we asking the right questions or tracking the most important metrics when discussing AI? Does it make sense to use non-deterministic models where accuracy is critically important?

While discussing AI and its energy intensity, people should remember that Al consumes much more and nobody talks about it.

Hive is a startup that just announced a €12M Series A to transform cloud data storage with a secure and sustainable distributed cloud. I examine whether their strategy is sound enough to survive or even go up against the likes of Dropbox.

The DOJ and some of America's top names in tech are trying to take Apple down a peg with lawsuits. I’d argue that there are better ways to keep competition alive and healthy.

Will the EU's new Artificial Intelligence Act boost safety, innovation and even keep AI compliant with human rights? In this issue of Recurrent Patterns, I look at whether this can possibly work, when they can't even define what AI actually is.