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Joined 1 year ago
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Cake day: July 4th, 2023

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  • While I completely agree with you, consumers are slowly moving that way, regulations are slowly moving that way, and costs of fuel will eventually move that way quicker and quicker. Either the car industry listens because people will jump ship to the brands that embrace it or go to the potentially more sustainable and environmentally friendly public transportation. At this point it’s a smart competitive decision to start building the R&D, manufacturing, and supply chains for widespread EVs. You don’t want to be on the back foot when it does become necessity.




  • Sorry this is months after, but it’s cool to see it worked. I use a software called XXX Agile and it’s not the worst I work with but when ported to my company has some flaws. There’s a long project to switch somewhere else for document control and people who should know much better than me are worried it will fill some gaps but open us up to way more.











  • This is my biggest concern. I’m in a position where (potentially in the near future) I see AI being used as an excuse to do work quicker so we can focus on other things more but still have to review the AI response before agreeing/signing off. Reviewing for accuracy takes just as long as doing it yourself when it’s strongly regulated and it comes down to revisions and document numbers. Much less making a sound argument that actually is up to date with that documentation. So either I trust the AI short cut and open myself up to errors, or redo all the work for them. No gain in time efficiency with shorter timelines. I’d rather make something and have it flag things that I can check so I’m more sure of my own work. What I do shouldn’t be faster, but it can be more error free. It would take a lot of training and updating of training with each iteration of documentation change. I could be the slave of change, with more expectations, with no actual improvement of the tools I have (in fact more risk of issues with the tools being used).




  • I’m not an expert just parroting info from Jayz2cents (YouTuber), but the big AI groups are using $10,000 cards for their stuff. Individuals or smaller companies are taking/going to take what’s left with GPUs to do their own development. This could mean another GPU shortage like the mining shortage andi would assume another bust would result in a flooded used market when it happens. Could be wrong, but he’s been correct pretty consistently with his predictions of other computer related stuff. Although, 10K is a little bit less than your fully loaded SUV example.