{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI News Today | Julian Goldie Podcast","title":"MiniMax M2.7: China Built AI That Improves Itself","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cb6aa17e\"></iframe>","width":"100%","height":180,"duration":660,"description":"Minimax M2.7: This AI Just Improved Itself 100 Times\nDiscover how Minimax M2.7 achieved a breakthrough in self-evolution by optimizing its own code over 100 rounds to become 30% more efficient without human help. We break down how this ultra-low-cost model challenges industry leaders like Claude Opus and why autonomous agent loops are the future of work.\n00:00 - Intro: The AI That Fixes Itself01:20 - Who is Minimax?02:03 - Defining Self-Evolution03:12 - Benchmarks vs. Claude Opus04:27 - 1/20th the Cost of Western AI05:24 - Native Agent Teams & Skills06:48 - OpenCore & Scaling Output08:14 - 4 Steps to Start Today","thumbnail_url":"https://img.transistorcdn.com/Tp0JSUlyiAe2ran44b13cjk4ImQYS1QEMKCAa9Q7go0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNTYz/NGQxMTU2ZTM1MzU5/MDNiYjcwZjJmYTY5/ODJmOS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}