Congrats, this must be quite a sum.
Apple Hires AI and Deep Learning Expert Ian Goodfellow
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Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#12Apple can probably poach all the AI people that don't want to work for a weapons contractor. Doubt Apple's going to be moving beyond consumer products anytime soon.
Especially with that infamous iTunes ToS
If you refer to the “not to be used to make nukes” section it’s a pretty standard clause for software exports in the US to comply with ITAR.
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#13[deleted]
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#14Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#15Earlier quoted context omitted.
Especially with that infamous iTunes ToS
If you refer to the “not to be used to make nukes” section it’s a pretty standard clause for software exports in the US to comply with ITAR.
Kim Jong-Un clearly didn't read it.
https://i.kinja-img.com/gawker-media/image/upload/ta0lh9phcr...
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#16Until Apple makes ALL of their services cross-platform, it's really hard to justify getting excited. I know in the US Apple has a strong presence, but if they truly want their services to exceed, they will need to go to Windows / Desktop Linux / Web / Android to compete. They were able to do it with Apple Music. Why not with Siri, iMessage, and the slew of new services they've introduced?
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#17I don’t work at FAANG, but the general sense I get is that while there is no doubt top DL talent that should command mid six to seven figure salaries, it seems that with AI programs stuffed at both the undergrad and grad levels that things should cool off eventually.
More broadly, does success in academia usually translate to delivering business value? Are these companies betting on these researchers to come up with the next great DL architecture?
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#18Until Apple makes ALL of their services cross-platform, it's really hard to justify getting excited. I know in the US Apple has a strong presence, but if they truly want their services to exceed, they will need to go to Windows / Desktop Linux / Web / Android to compete. They were able to do it with Apple Music. Why not with Siri, iMessage, and the slew of new services they've introduced?
Why would they do that? I think a core part of their business strategy is creating cool synergies and features between products but restricting those features to Apple devices. It makes consumers buy into the apple ecosystem.
They don't want to support Siri and iMessage on non-apple devices. Those are free services, why would they give them away without requiring you to buy their devices?
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#19Still won't help. Simple fact of life is: to attract research talent you have to let your researchers publish (and not anonymously like they started doing recently, but under their own names), and afford them considerable freedom in what to publish. There's no way in hell Apple will do that, with or without Goodfellow. Good for Ian, I suppose, but Apple will continue to languish in AI until it reconsiders its stolid, old fashioned ways (and/or starts paying crazy money to researchers so publishing ceases to matter as much).
Re: Apple Hires AI and Deep Learning Expert Ian Goodfellow
#20I don’t work at FAANG, but the general sense I get is that while there is no doubt top DL talent that should command mid six to seven figure salaries, it seems that with AI programs stuffed at both the undergrad and grad levels that things should cool off eventually. More broadly, does success in academia usually translate to delivering business value? Are these companies betting on these researchers to come up with…
Ian Goodfellow already has come up with the next great DL architecture. So its possible he will do so again.
edit: thinking about your question more-as an AI person I think the business logic behind hiring AI research talent if you are FAANG is not that they are going to deliver much business value in the next five years but they may deliver astronomical returns in the next 25 years. when you have the financial strength of google hiring these people is not a very large risk.
edit: I'm an ML grad student.