Achieving AGI May Not Require 10T Parameters
iruletheworldmo · x · 2026-07-20
The author suggests that once pre-training reaches a certain maturity, we will realize that achieving AGI does not require a colossal 10-trillion (10T) parameter model. While massive models are a necessary stepping stone, the future trend points toward progressively smaller parameter sizes. Instead, we will rely on massive swarms of agents to build customized workflows and reinforcement learning environments. This infinitely scalable Agent paradigm is what will ultimately propel AI to the level of Artificial Superintelligence (ASI).
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