Welcome to Wired’s one-minute podcast. Today we’re talking about a new breed of AI that, as the article puts it, “never stops learning.”

Modern large language models might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. This new model flips that script. It’s built to update its own knowledge on the fly, drawing on fresh data streams and real-time feedback to refine its understanding.

Rather than freezing its world view at the end of training, it continuously adjusts its internal map. If you correct it, it registers that correction. If the world changes, it pulls in new facts. Lead researcher Dr. Mira Zhang tells Wired, “It’s like giving the model a never-ending fountain of knowledge.”

Of course, challenges remain—how to prevent bad actors from poisoning its updates, or how to ensure it doesn’t drift away from reliable facts. But this marks a big shift: AI that adapts and grows, not just repeats. That’s Wired in sixty seconds—thanks for listening.
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