542 karma · joined October 16, 2013
Personal: https://github.com/sampullman
Professional: https://github.com/samatechtw
sam AT samatech.tw
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It was mostly the same as anywhere else, you go talk to them in person, tour their facilities/processes, and see what else they've built.
I was warned strongly about IP theft and cost cutting, but didn't find that expectation quite met reality. It may have been that our products were mostly un-copyable, and we specified everything precisely, or were just lucky.
I ended up getting a mini-PC solely dedicated toward running agents in dangerous mode, it's refreshing to not have to think too much about sandboxing.
I'm saying the risk aspect is similar, but I take issue with equating (product) investment and gambling, since one has a potential to create, and the other just shifts money around.
A risky investment is obviously akin to gambling, but to get things built and make a profit you have no other choice.
But for a hobby project I really don't see the need. It takes a few extra minutes to install KiCAD, clone the repo, and view the schematic at any point in time.
With AI, copyrighted material is often not obvious to the end user, so I don't think it's fair to go after them.
I think it's non-trivial to make the AI company pay per use though, they'd need a way to calculate what percent of the response is from which source. Let them pay at training time with consent from the copyright holder, or just omit it.
The linked page has a clear explanation for why one might consider nonfree software to be unethical.
The nice part is I can spend an hour or so writing specs, start 3 or 4 tasks, and come back later to review the result. It's hard to be totally objective about how much time it saves me, but generally feels worth the 200/month.
One thing I'm not impressed by is the ability to review code changes, that's been mostly a waste of time, regardless of how good the prompt is.
The key word you mention is "replicating." They'll be chasing for a while still, and it's not clear that they'll be able to leap ahead. Copying is much easier than real innovation.
Looking at the Chinese semiconductor development trajectory, and considering that TSMC won't be sitting on their hands, "within a decade" seems really unlikely.
I sort of doubt that all of a sudden there's going to be tons of people wanting to make complex AI contributions to LLVM, but if there are just ban them at that point.