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What's really happening when every major AI story starts pointing at context instead of raw intelligence?
The common story is that the AI race is still only about who ships the newest frontier model -- but the reality is that the next advantage is who can connect useful intelligence to the context where work and life actually happen.
In this episode, I share the inside scoop on why OpenAI's restricted ChatGPT 5.6 release, Apple's Siri strategy, Claude Tag in Slack, Codex adoption inside OpenAI, and GLM 5.2 are all part of the same hidden pattern.
Why frontier slowdowns make context more valuable How Apple is trying to turn Siri into a personal-context assistant What Claude Tag reveals about workplace context and permissions Why Codex had to earn trust before people handed it sensitive work Where open models create pressure when frontier releases slow down
For builders, operators, executives, and AI power users, the point is not just which model is smartest. The point is which intelligence you trust with which context, and whether you can route that context without locking yourself into one provider.
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