Use your voice: Gemini 3.1 Flash Live is just what Google's AI needed - Android Central
<a href="https://news.google.com/rss/articles/CBMizwFBVV95cUxNLU9hcWVkc0UxM0lNbUVncWVySUFjZElCY0JBNlRaaEU4UHBTMGJidkVOaEYyaTllWmhWUUM1TWo2ei1JeUhXV2dxWU1LbnAwYU1JOGRBSlVoZmpSLUNwbkU4YWxkSWEtQlQ2MWJvbTE4Q2NkZlJLYm50bmp5X2JFcmQ1c3NNMkZPUmtvRlBqT2wwQWtDdVVEYmdaZElKeGlsalFJX1NhaEpVdnFsdWo0My1sSVQzLVRoajBOQ1dXSUtjb1Eyb253QlRUZWNOTGs?oc=5" target="_blank">Use your voice: Gemini 3.1 Flash Live is just what Google's AI needed</a> <font color="#6f6f6f">Android Central</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
Google finally fixed Gemini for Home so you can stop yelling at your ceiling - Android Central
<a href="https://news.google.com/rss/articles/CBMiygFBVV95cUxORm1RbHduOElnbl9KUnJXZUhQbGdwVEFjLUlDR3h5TVB0alpHOVgyN1pzZUlyeVowTjVJNFc4eFJTNF9oUTdkS0xQTmFfQlREbGVZWW9GMkhuUXdUb0hwSEV3NklNRHZQd1NNbVNkX3VITlFUTTlmOWFNM1lraV9OQzVzUXdxbUxoWjMzUkp6V1hKaEwxM1pPMENEVEQ4Y2xjaUZWX2J6OWJJOGtqeDNmeE1ZcE9FRk45dEVHc0xzVGhPOGhoZXl2WlN3?oc=5" target="_blank">Google finally fixed Gemini for Home so you can stop yelling at your ceiling</a> <font color="#6f6f6f">Android Central</font>
Teenager’s Gemini mistake locks entire family out of Google accounts - PCWorld
<a href="https://news.google.com/rss/articles/CBMisgFBVV95cUxOaE55UHcwQl9XWUZRM1FNemNJcExwaTZUQXNjV01fWmJsa2RXb2x0bDdrQ1lyQ2ZNN040M2l3dVQtOGx5eUgyc2VVYVZTam1SUjBpdFMteEx2dE9EWGxRc1NpVHJrU0c0a2dOWVdFWnBianNJdVF5ZDJRdzY5WEFHUVc2d1JudjlUSlQzVEloNS1yNXF3ZzNaYzhvLXRXZDFPV3ItLTA1U1k4U3lHZVp0MV9n?oc=5" target="_blank">Teenager’s Gemini mistake locks entire family out of Google accounts</a> <font color="#6f6f6f">PCWorld</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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