Model Intelligence is Saturating; The Focus Shifts to Hardware
petrusenko_max · x · 2026-07-20
Recent community attention on Kimi K3 confirms the "intelligence saturation" hypothesis: once a model's reasoning, context, and tool-calling abilities hit a certain threshold, excess intelligence becomes redundant for most users, commoditizing intelligence much like 64-bit CPUs.
As open-source models become capable of covering over 90% of use cases, the industry's competitive focus will shift:
- Horizontal Scaling: Adding low-cost parallel inference nodes.
- Hardware Competition: Competing to run these open-weight models with higher throughput (thousands of tokens per second).
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