Oct 08, 2026

How Standard Kernel uses compound AI systems to optimize code and extract maximum GPU performance

Chris from Standard Kernel explains how the company uses two autonomous optimization systems, one for whole workloads and one for individual CUDA kernels, to speed up AI inference. He walks through a roughly 2x vLLM speedup on Qwen with a CoreWeave team, details the kernel generation search and the correctness checks needed for frontier-model-written kernels, and presents case studies including 11x faster world models, faster time-series and LLM serving, and customer-driven requirements.

Jul 29, 2026

Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil

Jerry Tworek and Rohan Anil, founders of Core Automation, argue that the transformer architecture has reached its limits and the primary bottleneck to smarter AI systems is now architectural. They contend that current models lack continual learning and test-time adaptation capabilities, critical for real-world deployment. They advocate for new architectures that learn from experience more efficiently than current reinforcement learning, optimize pre-training and RL end-to-end, and build a highly automated lab focused on accelerating innovation through kernel generation, aiming for models that can improve themselves without human intervention.