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What data center build outs tell us about intelligence costs.


Specialization turns general AI into practical tools. Insights from UC Berkeley professor and RunLLM co-founder Joey Gonzalez from Data Council 2025.


Great piece—I appreciate how you frame AGI as a continuous set of capabilities rather than a singular endpoint. At RunLLM, we've observed precisely this: generalized intelligence as just the starting line, with specialization critical to delivering reliable, practical value. Curious about your views on specialization as a way to address common LLM issues, like hallucinations?


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