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Ah, the classic tale of a coder thinking #SIMD would make their code fly 🚀, only to discover it trips over its own feet 👟. Our hero's memory seems as patchy as their #benchmarks, but fear not, the valuable lesson here is clear: #optimization is just a synonym for #headache. 🤦‍♂️
genna.win/blog/convolution-sim #coding #woes #lessons #HackerNews #ngated

genna.winPerformance optimization, and how to do it wrong | Just wing itOptimization is hard. And sometimes, the compiler makes it even harder.

🔔 New Essay 🔔

"The Intelligent AI Coin: A Thought Experiment"

Open Access here: seanfobbe.com/posts/2025-02-21

Recent years have seen a concerning trend towards normalizing decisionmaking by Large Language Models (LLM), including in the adoption of legislation, the writing of judicial opinions and the routine administration of the rule of law. AI agents acting on behalf of human principals are supposed to lead us into a new age of productivity and convenience. The eloquence of AI-generated text and the narrative of super-human intelligence invite us to trust these systems more than we have trusted any human or algorithm ever before.

It is difficult to know whether a machine is actually intelligent because of problems with construct validity, plagiarism, reproducibility and transferability in AI benchmarks. Most people will either have to personally evaluate the usefulness of AI tools against the benchmark of their own lived experience or be forced to trust an expert.

To explain this conundrum I propose the Intelligent AI Coin Thought Experiment and discuss four objections: the restriction of agents to low-value decisions, making AI decisionmakers open source, adding a human-in-the-loop and the general limits of trust in human agents.

@histodons @politicalscience

seanfobbe.com · [Essay] The Intelligent AI Coin: A Thought Experiment
More from Seán Fobbe

#NVIDIA #GeForce #RTX5090 #Linux #GPU Compute Performance #Benchmarks
When taking geo mean across 60+ benchmarks of #CUDA / #OptiX / #OpenCL / #Vulkan Compute, the GeForce RTX 5090 was delivering 1.42x the performance of GeForce #RTX4090. On performance-per-Watt GeForce RTX 5090 tended to deliver similar power efficiency to the RTX 4080/4090 graphics cards.
GeForce RTX 5090 Founders Edition was running cooler than many of the other Founders Edition graphics cards tested.
phoronix.com/review/nvidia-gef

www.phoronix.comNVIDIA GeForce RTX 5090 Linux GPU Compute Performance Benchmarks Review

#RedHat #EnterpriseLinux 10 Beta Performance Looks Great - Initial #RHEL 9 vs. #RHEL10 #Benchmarks
#RHEL10Beta is on Linux 6.11 (though #CentOSStream 10 has moved to# Linux 6.12 LTS), GCC 14.2 is default compiler, XFS the default file-system, and there is a wealth of other package updates like moving to Python 3.12 by default and OpenJDK Java 21 as its default version. RHEL 10 also goes Wayland-only with GNOME Shell.
10 Beta was on average 10% faster than current RHEL 9.5
phoronix.com/review/rhel-10-be

www.phoronix.comRed Hat Enterprise Linux 10 Beta Performance Looks Great - Initial RHEL 9 vs. RHEL 10 Benchmarks On AMD EPYC Turin Review