Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models</a> <font color="#6f6f6f">WSJ</font>
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Your AI Just Wrote 500 Lines of Code. Can You Prove Any of It Works?
Image Disclaimer: This banner was conceptualized by the author and rendered using Gemini 3 Flash Image. A framework for figuring out when AI-generated code can be formally verified — and when you’re kidding yourself. I’ve been thinking about a problem that’s been bugging me for a while. We’re all using AI to write code now. Copilot, Claude, ChatGPT, internal tools — whatever your flavor. And the code is… surprisingly good? It passes tests, it looks reasonable, it usually does what you asked for. But “usually” is doing a lot of heavy lifting in that sentence. Here’s the thing nobody talks about at the stand-up: testing can show you bugs exist. It cannot prove they don’t. That’s not a philosophical position. It’s a mathematical fact, courtesy of Dijkstra, circa 1972. And it matters a lot mor
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Your AI Just Wrote 500 Lines of Code. Can You Prove Any of It Works?
Image Disclaimer: This banner was conceptualized by the author and rendered using Gemini 3 Flash Image. A framework for figuring out when AI-generated code can be formally verified — and when you’re kidding yourself. I’ve been thinking about a problem that’s been bugging me for a while. We’re all using AI to write code now. Copilot, Claude, ChatGPT, internal tools — whatever your flavor. And the code is… surprisingly good? It passes tests, it looks reasonable, it usually does what you asked for. But “usually” is doing a lot of heavy lifting in that sentence. Here’s the thing nobody talks about at the stand-up: testing can show you bugs exist. It cannot prove they don’t. That’s not a philosophical position. It’s a mathematical fact, courtesy of Dijkstra, circa 1972. And it matters a lot mor
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