Import AI 464: Fable Writes GPU Kernels and AI Automation Trends

The latest Import AI newsletter explores how Fable 5 successfully wrote a CUDA megakernel, signaling a broader future for AI-driven research automation.

MiHiR SEN
MiHiR SEN
·1 min read
Jack Clark's Import AI 464 newsletter highlights Fable 5 successfully writing a CUDA megakernel, signaling a major step in AI-driven research automation. The issue explores how models are beginning to automate low-level development tasks previously reserved for human experts. It also reviews emerging trends in analog computation and broader AI automation workflows.

Fable 5 and the CUDA Megakernel

Issue 464 of Jack Clark's Import AI newsletter highlights a significant milestone in AI-driven development: Fable 5 successfully writing a CUDA megakernel on the KernelBench-Mega benchmark [[47]]. This achievement demonstrates that advanced AI models can now generate highly optimized, low-level code that directly impacts hardware performance.

Automating Low-Level Research

The ability of an AI to write the kernels that make models faster hints at a broader future for AI research automation [[42]]. Instead of relying solely on human experts to squeeze out marginal performance gains, AI systems can now iterate on architectural optimizations autonomously, accelerating the entire machine learning development lifecycle.

The Rise of Analog Computation

In addition to software automation, the newsletter touches on emerging trends in analog computation. As digital scaling faces physical and economic limits, alternative computing paradigms are gaining attention as potential avenues for sustaining the exponential growth of AI capabilities.