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The Download: the case for AI slop, and helping CRISPR fulfill its promise

The Download: the case for AI slop, and helping CRISPR fulfill its promise

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How I learned to stop worrying and love AI slop —Caiwei Chen If I were to locate the moment AI slop broke through into popular consciousness, I’d...

A new CRISPR startup is betting regulators will ease up on gene-editing

Here at MIT Technology Review we’ve been writing about the gene-editing technology CRISPR since 2013, calling it the biggest biotech breakthrough of the century. Yet so far, there’s been only one gene-editing drug approved. It’s been used commercially on only about 40 patients, all with sickle-cell...

Deploying a hybrid approach to Web3 in the AI era

Deploying a hybrid approach to Web3 in the AI era

When the concept of “Web 3.0” first emerged about a decade ago the idea was clear: Create a more user-controlled internet that lets you do everything you can now, except without servers or intermediaries to manage the flow of information. Where Web2, which emerged in the early 2000s, relies on...

Why AI predictions are so hard

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Sometimes AI feels like a niche topic to write about, but then the holidays happen, and I hear relatives of all ages talking about cases of chatbot-induced...

What’s next for AI in 2026

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. In an industry in constant flux, sticking your neck out to predict what’s coming next may seem reckless. (AI bubble? What AI...