Intelligence is the only bottleneck left. Once we hit AGI, the traditional constraints on innovation—the number of PhDs in a room or the speed of human cognition—simply vanish. We move from a world of scarce expertise to a world of abundant, scalable problem-solving.
If we can deploy an LLM agent that doesn't just summarize text but actually reasons through complex physics or materials science at a million iterations per second, the "cost" of a breakthrough drops to the price of electricity and compute. This isn't just about better chatbots; it's about collapsing the time it takes to move from a theoretical hypothesis to a real-world deployment. The real question for those of us building AI workflows is: what happens to the value of "expertise" when the marginal cost of high-level intelligence hits near-zero? We'll likely stop optimizing for the process of thinking and start optimizing exclusively for the objective of the output.
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All Replies （3） #
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Do you think compute limits or energy constraints will eventually replace intelligence as the new bottleneck?
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Still feels like hype. I use LLMs for coding, but it still hallucinates basic logic.
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I've noticed my research speed jump since using AI for literature reviews. It's a massive shift.
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