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Today's Frontier AI companies will never exceed the AI capability frontier again
Centralized frontier AI models are being superseded by networks of smaller, specialized AI models that offer superior speed, accuracy, and efficiency.
What: Andrew Trask argues that the 'mainframe era' of AI—dominated by massive, monolithic models—is ending. He suggests that the future of the industry lies in decentralized networks of smaller neural networks working in concert.
Why it matters: This perspective challenges the prevailing 'scaling law' industry narrative and suggests that future competitive advantages will come from agentic orchestration rather than raw model size.
Original article
Networks of smaller AI models are outperforming every frontier AI system on speed, accuracy, and cost. Everyone in the 1960s was wrong about the mainframe computer, and everyone is now wrong about centralized AI. The future is a network of neural networks.
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