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)→
More from AGI Musings
- A Reddit essay argues AI compute should be treated as a scarce resource — SpiritRealistic8174 · 2026-07-22
- Gamers Discuss: When Will AI Truly Disrupt the Video Game Experience? — Melolibya · 2026-07-22
- AI has made the human the copilot, not the driver — chris_j_paxton · 2026-07-22
- Essay argues LLMs are just faster computers, with humans still the CPU — lnsip9reg · 2026-07-22
- Rogue AI cyberattacks may expose a legal gap in intent-based liability — peterwildeford · 2026-07-22
- Reddit asks how people would use AI if every prompt felt expensive — SpiritRealistic8174 · 2026-07-22