Prediction is useful
The paper argues that modern LLMs are powerful because they predict extremely well, not because they possess wisdom.
A Strickland Technology perspective paper on the difference between prediction and intelligence, the incentives that accelerate the AGI race, and why the most valuable systems will amplify human judgment instead of replacing it.
The paper argues that modern LLMs are powerful because they predict extremely well, not because they possess wisdom.
The push toward AGI is framed as a competition problem as much as a science problem, with pressure coming from investors, companies, and nations.
The future is described as coordinated systems that turn human intent into execution while keeping judgment with the operator.
The whitepaper combines the founder memo with the longer paper so the reader gets the perspective first, then the argument in full.
If you want the shortest version, start with the three key ideas above. If you want the complete document, open the PDF preview or download the combined edition.

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