AGI may not need 10T params; task decomposition makes intelligence a matter of TTC scaling
teortaxesTex · x · 2026-08-27
The author argues that just as RLM-style techniques make "long context" a matter of compute spend rather than architecture, general agency via task decomposition makes "intelligence" a matter of Time-To-Compute (TTC) scaling.
Key Points:
- Achieving AGI may not require models with 10T or even 3T parameters.
- System-level task decomposition and orchestration can achieve equivalent intelligence levels more efficiently.
- This serves as a technical rebuttal to the claim that "Sam Altman believes OpenAI will have AGI by 2026, requiring 10T-15T parameters."
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