🤖 The AI That Helped Build Itself — Plus the Model Too Dangerous to Release

Today's episode covers a seismic week in artificial intelligence, starting with MiniMax's open-source release of a model that actively participated in its own development — a philosophical shift that could change how AI gets built. Anthropic's unreleased Mythos model is sparking congressional conversations and international government warnings over catastrophic cybersecurity risks, though some question whether the announcement is more PR than genuine danger. Liquid AI quietly dropped a vision-language model that runs entirely on edge hardware with sub-250ms response times, making real-time local AI a practical reality. Researchers from MIT and NVIDIA unveiled TriAttention, a compression breakthrough that delivers 2.5x faster inference without sacrificing quality. Sam Altman faced a violent attack at his San Francisco home this week, followed by a pointed New Yorker profile raising questions about his leadership — highlighting just how charged the public debate around AI leadership has become. A new Gallup survey reveals Gen Z's enthusiasm for AI is cratering, with only 18% describing themselves as hopeful even as they feel compelled to keep using it. And jazz musician Jason Moran discovered a fake AI-generated album attributed to him on Spotify, illustrating how generative tools are outpacing our ability to verify what's real online.

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