KernelBench update: i went through a bunch of traces looking for models attempting to use ncu and getting blocked due to the compute provider disabling performance counter permissions (NVreg_RestrictProfilingToAdminUsers=1). this affected rtx pro 6000 (using a compute provider as my own compute was saturated at the time) h100 and b200 runs. im thinking of doing a bunch of reruns but this would cost me an arm and a leg. im very impressed with models ability to optimize kernels without all the information from ncu profiles. i also wonder if kernel-based rl from labs has ran into this issue and solved it before training, or if models just have this strange intuition about what patterns tend to perform well. before i do anything, i want to get some feedback from the community on this.

"Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision" Hawkeye teaches AI agents how to optimize for a new GPU using just 10 expert-written unit tests. Instead of hand-porting kernels to every new architecture, experts encode the key hardware tricks once and the agent composes them into fast CUDA or HIP kernels. It works across NVIDIA and AMD GPUs (Ampere, Hopper, Blackwell, and MI350), and often matching or beating expert-tuned baselines.

The new #Vendefoul# kernels are now available. Compiled using #solar# #renewable# #energy#. We continue to innovate and improve the GNU/Linux distribution to become a benchmark for freedom, independence, and privacy. #aconita#

The new #Vendefoul# kernels are now available. Compiled using #solar# #renewable# #energy#. We continue to innovate and improve the GNU/Linux distribution to become a benchmark for freedom, independence, and privacy. #aconita#

Presenting Regularized f-Divergence Kernel Tests, a new framework for auditing machine unlearning and differential privacy. This method is more sensitive to localized data shifts and requires fewer samples than traditional tools. Learn more:

When a critical Linux kernel privilege escalation was publicly disclosed, Cloudflare's security and engineering teams detected, investigated, and mitigated the threat across our global fleet, confirming zero customer impact.