Comment by Q6T46nT668w6i3m
2 years ago
Academic compensation is different than what you’d find elsewhere on Hacker News. Likewise, academic performance is evaluated differently than what you’d expect as a software engineer. Ultimately, everyone cares about scientific impact so academic compensation relies on name and recognition far more than money. Personally, I care about the performance of the researchers (i.e., their publications), the institution’s larger research program (and their resources), the institution’s commitment to my research (e.g., fellowships and tenure). I want to do science for my entire career so I prioritize longevity rather than a quick buck.
I’ll add, the lack of compute resources was a far worse problem early in the deep learning research boom, but the market has adjusted and most researchers are able to be productive with existing compute infrastructure.
But wouldn't the focus on "safety first" sort of preclude them from giving their researchers the unfettered right to publish their work however and whenever they see fit? Isn't the idea to basically try to solve the problems in secret and only release things when they have high confidence in the safety properties?
If I were a researcher, I think I'd care more about ensuring that I get credit for any important theoretical discoveries I make. This is something that LeCun is constantly stressing and I think people underestimate this drive. Of course, there might be enough researchers today who are sufficiently scared of bad AI safety outcomes that they're willing to subordinate their own ego and professional drive to the "greater good" of society (at least in their own mind).
If you're working on superintelligence I don't think you'd be worried about not getting credit due to a lack of publications, of all things. If it works, it's the sort of thing that gets you in the history books.
Not sure about that. It might get Ilya in the history books, and maybe some of the other high profile people he recruits early on, but a junior researcher/developer who makes a high impact contribution could easily get overlooked. Whereas if that person can have their name as lead author on a published paper, it makes it much easier to measure individual contributions.
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