instead end up showing how AI will be used for the things that most of us don’t want it to interfere with: our job prospects, our privacy, and experiences and skills that feel uniquely human.

The latest attempt at an AI-powered wearable is an always-listening pendant. But it doesn’t help you be more productive, it just keeps you company.

Fortune notes that the IOC found 180 use cases for AI at the Olympics, but they largely seemed “like nothing more than marketing gimmicks.”

Much like crypto, the AI tools peddled by tech companies today are environmental disasters, using up as much energy as an entire country. That’s expected to double by 2026, and it also includes the millions of gallons of water needed to cool the equipment.

Marketing tactics that boast about AI’s ability to render meaningful activities — like, say, painting, or writing a letter with your daughter — worth little more than a single button-click come across as deeply tone-deaf to a population who is already anxious about the future of the technology. According to a 2023 Pew survey, 52 percent of American... See more

Humanity is waking up to the challenges and opportunities of artificial intelligence, but we don’t yet understand our role. People talk about unexplainable AI when they should be more concerned about the unexplainable humans running the companies that develop the AI. (Hiya, Sam!) People worried about AI taking their jobs and taking control are comp... See more

AI tools have shown their value in speeding up software development and discovering pharmaceuticals

Technology is an adjustment; AI will take some getting used to. There’s a reason self-driving cars still have steering wheels: removing the steering wheel would probably make us freak out. Too much change, too fast. The best companies will be savvy in how they embed human decision-making into workflows, rather than removing the need for human input... See more

The incident once again highlights a common problem with all generative AI tools: whether it’s AI-generated images, music, or writing, these works are inherently derivative because anything they produce is made up of remixed pieces of work in the training data.