Conor Stewart This article and the company imply something that just cannot be true. That humans are capable of making mistakes but this AI isn't. So they are claiming an AI that is perfect at PCB design. Also another point that could be used to mislead people, this board was designed in a week using the AI and it worked the first time it was booted, but it doesn't say anything about previous attempts. Yes this run took a week and 40 hours of human work but that alone doesn't necessarily mean that it isn't attempt 1000 of trying to get this to work or that it wasn't down to random chance. Just because it booted doesn't mean all that much, it might not be stable, it might have very specific power or temperature requirements, it might be getting run at low clock speeds because it is unstable, etc. Even if this is true they are making these impossible claims just to get funding. Claiming an AI makes no mistakes is just ridiculous at this point. It would be interesting to see a few experts not affiliated with the company review the PCB design. It's also not clear if this was just PCB design or schematic design too. If the schematic was designed by humans then it is probably pretty likely that they could design the schematic/system to be as robust and reliable as possible so it is more tolerant of mistakes by the AI. Reply
Eximo umeng2002_2 said: Is this better than current design optimzation? Agreed, we've using 'AI' for board layout for decade(s) at this point. Can't recall the first time I encountered it in the wild. At least as far back as 2010, if not before, it was available as a software package and all you needed to accelerate it was an off the shelf consumer grade GPU. Prior to that I'm sure there were bespoke machines or less generalized software packages to do the same. Given a fixed library of components, I don't think an AI could stray too far from anything outside what the application engineers whipped up in the first place. (Heck that is a lot of products, app engineer design simply built and implemented) Reply
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://www.tomshardware.com/tech-industry/artificial-intelligence/SPONSORED_LINK_URL
- https://www.tomshardware.com/tech-industry/artificial-intelligence/dual-pcb-linux-computer-with-843-components-designed-by-ai-boots-on-first-attempt-project-speedrun-was-made-in-just-one-week-and-required-less-than-40-hours-of-human-work#main
- https://www.tomshardware.com
- New calculator helps evaluate the economics of datacenters in space — running the numbers on orbital computing reveals a brutal reality
- HDD prices spike as AI infrastructure and China's PC push collide — hard drives record biggest price increase in eight quarters, suppliers warn pressure will co
- NVIDIA Awards up to $60,000 Research Fellowships to PhD Students
- These 16 gadgets under $100 are must-haves for hobbyists and PC builders — these last-minute tech gifts are our personal picks for the tech savvy on your gift l
- The Ultimate Black Friday Deal Is Here
Informational only. No financial advice. Do your own research.