Quilter, the LA-based startup behind this feat, says its dual-PCB Linux computer with 843 components was designed in just one week
Tenfold time saverTenfold time saver
The great attraction of AI-enhanced PCB design is that it offers the promise of removing a consistent bottleneck from computer system design. With just one week of AI-powered processing, augmented by 38.5 hours of human expert assistance, the Project Speedrun computer was completed. Normally, this kind of project would require approximately three months for a skilled human engineer (approximately 430 hours of work).
Now this looks exciting!
How this AI was trainedHow this AI was trained
Venture Beat’s coverage contrasts Quilter AI against LLMs like GPT-5 and Claude. Indeed, circuit board design isn’t a language task or problem. Thus, the AI behind this tool is basically trained by playing an optimization game against the laws of physics.Surprisingly, there were no earlier stages where Quilter AI was trained on human-designed sample boards. This decision was made because humans frequently make mistakes in board design, and to make sure Quilter AI’s capabilities weren’t somehow capped at human-level.
Keep your eye out on this Quilter AI company.
It is precisely this sort of use of AI that China is devoting much of its effort and capital and China is going to lead in such practical and profitable real world applications of AI. Meanwhile the USA will squander the last of its available fiat debt risk capital upon the absurd notion of creating a machine with consciousness - an impossibility as a machine does not have DNA nor mortality nor senses nor inbuilt imperative to survive and compete in an organic environment. Consciousness is based in organic evolution and mortality and its relationship to the environment that created it. A machine cannot ever achieve it.
Huh?
This might help explain more- https://opentools.ai/news/chinas-ai-strategy-pragmatic-moves-over-ambitious-intellect-quest 'China's AI strategy is deeply rooted in a practical and state-backed approach, significantly differing from the U.S. focus on developing artificial general intelligence (AGI). Instead of pursuing superintelligence, China prioritizes practical applications of AI that can be quickly deployed across various sectors such as industry, agriculture, healthcare, and government services. This strategic choice is supported by substantial state funding and coordination, including an $8.4 billion AI fund and the nationwide 'AI+' initiative, which aims to infuse AI into the fabric of society by 2030. Emphasizing efficiency and scalability, China's AI applications range from grading student exams to enhancing weather forecasts, illustrating a pragmatic approach that capitalizes on immediate benefits rather than speculative research into AGI.'