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True, but applying that logic in order to give credit to Google is wrong, which is the point of the comment above.
by algoatecorn 5y ago
True, but applying that logic in order to give credit to Google is wrong, which is the point of the comment above.
- smueller1234 5y agoIf one wanted to make a case for that, arguably it's DrepMind's major infrastructure resource consumption that would give Google some credit. I can certainly point to some colleagues in infrastructure engineering who've helped DeepMind folks deal with infrastructure problems. That being said, I'm perfectly happy to just be proud of what DeepMind has achieved. They've been great to interact with when there were shared challenges, and I - and to my knowledge all colleagues around me - aren't very interested in a question of credit assignment.
- dekhn 5y agoI agree, 98.3%. Google's infrastructure and DeepMind's internal (not cloud) access to it has been absolutely critical. In many ways, DM is leading Google in terms of software development, while Google is leading in providing unique ML hardware capabilities.