AI is driving unprecedented investment for massive data centers and an energy supply that can support its huge computational appetite. One potential source of electricity for these facilities is next-generation nuclear power plants, which could be cheaper to construct and safer to operate than their predecessors.
We recently held a subscriber-exclusive Roundtables discussion on hyperscale AI data centers and next-gen nuclear—two featured technologies on the MIT Technology Review 10 Breakthrough Technologies of 2026 list. You can watch the conversation back here, and don’t forget to subscribe to make sure you catch future discussions as they happen.
How social media encourages the worst of AI boosterism
Demis Hassabis, CEO of Google DeepMind, summed it up in three words: “This is embarrassing.”
Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI’s latest large language model, GPT-5, to find solutions to 10 unsolved problems in mathematics.
Put your math hats on for a minute, and let’s take a look at what this beef from mid-October was about. It’s a perfect example of what’s wrong with AI right now.
—Will Douglas Heaven
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.
The paints, coatings, and chemicals making the world a cooler place
It’s getting harder to beat the heat. During the summer of 2025, heat waves knocked out power grids in North America, Europe, and the Middle East. Global warming means more people need air-conditioning, which requires more power and strains grids.
But a millennia-old idea (plus 21st-century tech) might offer an answer: radiative cooling. Paints, coatings, and textiles can scatter sunlight and dissipate heat—no additional energy required. Read the full story.
