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Deep mind is needed for other things (e.g. search results). Effectively, the cost of developing it is paid for by search et al, and the only cost core infrastru

Deep mind is needed for other things (e.g. search results). Effectively, the cost of developing it is paid for by search et al, and the only cost core infrastructure has is adapting the existing technology to work on power data as well. This is that "synergy" thing we always snicker at when people in suits say it. It just happens to be true here. Sidebar: the sour grapes in this thread about what Google has apparently accomplished here is amazing. If any other company said they used machine learning to save that much money people would be singing their praises and begging for it to be open-sourced. This thread effectively reads as "pics or it didn't happen"

hueving 10y ago
>begging for it to be open-sourced. This thread effectively reads as "pics or it didn't happen" Likely because it won't be open sources and because there are almost no details at all compared to how this would have worked with other ML techniques. It's nothing but a fluff piece to feed to investors wondering about the large purchase.
- Godel_unicode 10y ago
  While I agree that this is fluffy, I would submit that: 1 There are a number of other organizations with serious ML chops 2 Knowing that something is possible is frequently the biggest aid to making it happen 3 This solution is likely tightly coupled with Google's infrastructure
argonaut 10y ago
On the contrary, my experience with HN is that people are across-the-board far too accepting, credulous, and unskeptical of machine learning posts, especially given how most commenters have little ML experience and given how incredibly easy in machine learning it is to create "amazing" results that are actually worthless. This is particularly unique to the field of AI/ML - it's pretty hard to bullshit a new programming language you've developed, or a new mobile app you've published.

hueving 10y ago

>begging for it to be open-sourced. This thread effectively reads as "pics or it didn't happen" Likely because it won't be open sources and because there are almost no details at all compared to how this would have worked with other ML techniques. It's nothing but a fluff piece to feed to investors wondering about the large purchase.

Godel_unicode 10y ago
While I agree that this is fluffy, I would submit that: 1 There are a number of other organizations with serious ML chops 2 Knowing that something is possible is frequently the biggest aid to making it happen 3 This solution is likely tightly coupled with Google's infrastructure

argonaut 10y ago

On the contrary, my experience with HN is that people are across-the-board far too accepting, credulous, and unskeptical of machine learning posts, especially given how most commenters have little ML experience and given how incredibly easy in machine learning it is to create "amazing" results that are actually worthless. This is particularly unique to the field of AI/ML - it's pretty hard to bullshit a new programming language you've developed, or a new mobile app you've published.