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DPA via Reuters
May 28, 2024
One of the biggest challenges facing artificial intelligence companies is that they don’t know everything about their algorithms. This so-called black box problem is exacerbated by the fact that deep learning models do precisely that — they learn. And when they learn they change. They take in enormous troves of data, detect patterns, and spit something out: How a sentence should read, what an image should look like, how a voice should sound.
But now researchers at Anthropic, the AI startup that makes the chatbot Claude, claim they’ve had a breakthrough in understanding their own model. In a blog post , Anthropic researchers disclosed that they’ve found 10 million “features” of their Claude 3 Sonnet language model, with certain patterns that pop up when a user inputs something it recognizes. They’ve been able to map features that are close to one another: One for the Golden Gate Bridge, for example, is close to another for Alcatraz Island, the Golden State Warrior, California Governor Gavin Newsom, and the Alfred Hitchcock film Vertigo — set in San Francisco. Knowing about these features allows Anthropic to turn them on or off, manipulating the model to break out of its typical mold.
This development offers hope that the companies behind powerful generative AI models will soon have much more control over their creations, as MIT professor Jacob Andreas told theNew York Times . “In the same way that understanding basic things about how people work has helped us cure diseases,” Andreas said, “understanding how these models work will both let us recognize when things are about to go wrong and let us build better tools for controlling them.”
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Is AI's "intelligence" an illusion? | GZERO World with Ian Bremmer
September 11, 2023
AI-powered, large language model tools like the text-to-text generator ChatGPT or the text-to-image generator Midjourney can do magical things like write a college term paper in Klingon or instantly create nine images of a slice of bread ascending to heaven.
But there’s still a lot they can’t do: namely, they have a pretty hard time with the concept of truth, often presenting inaccurate or plainly false information as facts. As generative AI becomes more widespread, it will undoubtedly change the way we live, in both good ways and bad.
“Large language models are actually special in their unreliability,” Marcus says on GZERO World, “They're arguably the most versatile AI technique that's ever been developed, but they're also the least reliable AI technique that's ever gone mainstream.”
Marcus sits down with Ian Bremmer to talk about the underlying technology behind generative AI, how it differs from the “good old-fashioned AI” of previous generations, and what effective, global AI regulation might look like.
Watch GZERO World with Ian Bremmer every week at gzeromedia.com/gzeroworld or on US public television. Check local listings. Read more Show less