Open Science Can Also Drive AI Acceleration
evijit · x · 2026-07-19
The author explores how "accelerationism" should be defined in today's AI landscape.
They argue that if you don't believe simply scaling up LLMs is the only path to the singularity, then open science—and allowing innovation to happen outside closed labs—is actually a form of acceleration. Academic teams and smaller organizations, constrained by limited resources, are often forced to innovate more aggressively in efficiency, new domains, and novel architectures. Open science further amplifies this output.
Related event: Open Models Act as Accelerators, Not Decelerators(9 posts)→
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