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Very exciting (from an engineer point of view), but there is much much more in a chips/devices/OS than "AI". It's a trap! To me, it seems like a distraction fo
by hashtag-til 3y ago
Very exciting (from an engineer point of view), but there is much much more in a chips/devices/OS than "AI". It's a trap!
To me, it seems like a distraction for them to go into devices stuff, rather than making their stuff so relevant that device vendors (Android/iOS) can't ignore. At the moment they can because they got good enough competitor solutions.
- baq 3y agoDepends what they've got under the hood. If they found a theoretical way to infer something like GPT-3.5 without using so much RAM and can build a chip which makes this feasible in laptops or (holy grail) phones, they've got their moat for a 12-24 months, possibly more if they manage to patent it. Big if though.
- leetcodesucks 3y ago[dead]
- Legend2440 3y agoThere's almost certainly no way to avoid using massive amounts of memory. But you could build a device with more memory...
- vineyardmike 3y agoConsidering the unit prices of NVidia chips, and the growing cuda software lock-in, it seems “obvious” to work on something to hedge against price increases. That might be the performance or cost edge they need. If they just make android phones better, they risk Google benefitting off their efforts and replacing the models. Besides that’s a lot more work to partner and manage across the industry. It seems risky to bet they can release consumer hardware (instead of server side) but that’s the ultimate big bet. Ask Meta how it feels to be “just an app”.