Why “context graphs” have suddenly become one of the most important ideas in enterprise AI, and what they reveal about why agents fail or succeed at real work. This episode explains the core idea behind context graphs, how they differ from systems of record and knowledge graphs, and why capturing decision traces — the why, not just the what — may be the key to scalable autonomy inside organizations. In the headlines: AI wearables make another run at relevance, China reports early success using AI for cancer detection, X faces global backlash over Grok moderation failures, and Yann LeCun publicly breaks with Meta’s AI strategy.
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