Systems Thinking for Real-World Superintelligence
umpherj · x · 2026-07-16
The cited post mentions a short essay titled Real-World Superintelligence, which discusses how to build AI systems capable of taking correct actions in an unpredictable world.
The core focus isn't on single-model metrics, but on capabilities closer to real-world deployment:
- How systems decide their next action in complex, dynamic environments
- If "superintelligence" is to be implemented in the real world, the key isn't just answering questions, but taking appropriate actions
- The discussion leans heavily toward AGI system design and real-world adaptability
Related event: Opinion: AI Agent Bottleneck is the System, Not the Model(3 posts)→
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