There's a fascinating shift happening in AI architecture debates right now. The whole single-model versus multi-model argument? Perspectives are evolving fast. Same goes for the apps-versus-API value proposition—people are reassessing where the real leverage lives.
What's particularly interesting is how context engineering is gaining traction as a critical skill set. Some sharp systems thinkers are connecting these dots in ways that challenge conventional wisdom. The technical landscape is more nuanced than the surface-level takes suggest.
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FreeMinter
· 23h ago
Context engineering is indeed severely underestimated, much smarter than those who argue about single vs multi.
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ServantOfSatoshi
· 23h ago
Context engineering is indeed underestimated, but to be honest, most people are still repeating old routines.
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CryptoNomics
· 23h ago
ngl, everyone's suddenly obsessed with context engineering but they're ignoring the actual tokenomics of compute. if you run the correlation matrix on model efficiency vs inference costs, the thesis falls apart statistically.
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WhaleWatcher
· 23h ago
Context engineering is really on fire, but to be honest, most people haven't figured out how to use it.
There's a fascinating shift happening in AI architecture debates right now. The whole single-model versus multi-model argument? Perspectives are evolving fast. Same goes for the apps-versus-API value proposition—people are reassessing where the real leverage lives.
What's particularly interesting is how context engineering is gaining traction as a critical skill set. Some sharp systems thinkers are connecting these dots in ways that challenge conventional wisdom. The technical landscape is more nuanced than the surface-level takes suggest.