All that is under the Sun
Imagine you’re trying to teach a machine the difference between a cat and a dog. You show it a picture of a cat, and it says, with 90% confidence, “That’s a cat.” Great! Now you show it a dog, and it says, with 60% confidence, “That’s a cat.” Not so great. The second guess is …
Imagine you’re teaching an archery student. They loose an arrow, and it thuds into the target, a little off-center. You wouldn’t just say, “You missed.” To be a good teacher, you need to know how much they missed by. Was it a near-perfect shot, just a hair’s breadth from the bullseye? Or did it land …
“Reality is that which, when you stop believing in it, doesn’t go away.” Philip K. Dick In the world of Large Language Models, the line between generated reality and objective reality can often feel perilously thin. We, the builders and researchers, stand at a fascinating and frustrating frontier. Our creations can draft elegant poetry, write …
Welcome back to All that is under the Sun! In our last blog post in Learning AI Series, we unmasked “Optimization,” the tireless engine that helps AI models strive for their “best selves.” We saw how AI isn’t just born brilliant; it learns and improves through a process of iterative refinement. But that begs a …
Welcome back to All that is under the Sun, your friendly guide through the fascinating, and sometimes bewildering, world of Artificial Intelligence. This month, we’re kicking off a brand-new series that gets to the very heart of how AI learns and improves. Think of it as the AI equivalent of a motivational seminar, a Marie …
Ever stared at a blank canvas, a silent piano, or a cursor blinking mockingly on an empty page? We’ve all been there. But what if you had a collaborator that never slept, had digested nearly the entire internet’s worth of art, music, and literature, and was raring to brainstorm, draft, or even whip up a …