Import AI 464: Fables writes GPU kernels; AI automation; and analog computation
Fable just wrote the fastest GPU megakernel ever. Here's why AI automating AI R&D is the real story.
Why it matters
An AI system (Fable) demonstrating capability to autonomously optimize core infrastructure (GPU kernels) signals a shift toward AI-driven R&D automation—reducing the human bottleneck in model optimization and compute efficiency.
The key facts
9 to knowFable wrote 'the first genuine (and fastest) megakernel ever'
GPU kernel optimization historically required expert human engineers
Signals broader trend of AI automating AI research and development workflows
Suggests potential RSI (recursive self-improvement) loop in model capability expansion
Published July 2026 — timing suggests emerging capability in autonomous infrastructure optimization
Fable authored first genuine fastest megakernel
AI automation of GPU kernel writing
Broader AI R&D automation capability demonstrated
RSI loop implications for AI development velocity
Go to the source
Import AI (Blog)jack-clark.net
Publisher excerpt: Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Fable writes a decent GPU kernel, hinting at broader AI R&D automation:…The start of an RSI loop…Fable has written…