Apple promised AI that’s private, powerful, and personal. The problem? Those goals might not be compatible.
Now, it’s a puzzle Apple may not be able to solve.

AI promises convenience, but at what cost? Models are now trained on misinformation and errors, which are becoming part of the fabric of our digital world, and being portrayed as the authoritative answers to our questions.

Skype brought us free long-distance calls, but after two decades, its time has come. It’s a reminder that tech evolves, and this chapter is coming to a close.

Amazon's rejuvenated Alexa is here. Alexa+ remembers your favourite foods, reminds your kid to walk the dog, and helps you buy gifts. Having access to your calendar, emails, and shopping habits, is this supposed to be your trusted assistant, best friend or the new Big Sister?

The year is 2032, and your Christmas plans might include... an asteroid? NASA’s odds of an asteroid hitting Earth in 2032: low. Media panic level: high.

AI is already everywhere, and now robots are next. Will they be your personal chef, errand-runner, babysitter or just another overhyped gadget? The promises are big. My question to you - What would you use them for?

AI is everywhere, but how are companies actually using it? In some cases, the results actually do seem to be catching up to the hype. Your own results may vary. The hype is still covering up for the growing pains.

The debate around DeepSeek should go much deeper than the technology. How much do you really know about the models that we've come to rely on?

When it comes to AI search, you still need to know the correct answer before you start. For the more gullible, you can even spend an extra $28/month to talk to the expert behind the curtain.

AI’s value is still anyone’s guess. $0.01 per message? $200/month? Tech giants like OpenAI and Microsoft are still guesssing on how to price their new innovations. It seems like AI can do anything, except figure out what its worth.