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Old 02-26-2015, 06:40 PM   #61
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Did you really just repost your own pic in the very same thread?
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Old 02-26-2015, 07:00 PM   #62
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Did you really just repost your own pic in the very same thread?

Sometimes a nail needs two hits to really get driven in.
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Old 02-27-2015, 10:31 AM   #63
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Clearly you don't know what intelligence means. "Smart" and "intelligent" are not one and the same. It appears YOU should do some reading then come back and talk.
"Smart" is not a scientifically quantifiable attribute. Thanks for playing though.
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Old 02-27-2015, 10:36 AM   #64
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Did you really just repost your own pic in the very same thread?
In his defense, it was fitting.
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Old 02-27-2015, 10:36 AM   #65
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"Smart" is not a scientifically quantifiable attribute. Thanks for playing though.
In other words, no.
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Last edited by invisible man; 02-27-2015 at 10:37 AM.
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Old 02-27-2015, 12:30 PM   #66
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Did you really just repost your own pic in the very same thread?
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Did you really just repost your own pic in the very same thread?
Did you really just...

Oh never mind.

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Old 02-27-2015, 12:51 PM   #67
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It might be able to play Crysis, but can it run Crysis?
I think their network only has something like 16,000 CPU cores at its disposal, so no. Definitely not.
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Old 02-27-2015, 12:52 PM   #68
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I think their network only has something like 16,000 CPU cores at its disposal, so no. Definitely not.
some day...
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Old 02-27-2015, 01:34 PM   #69
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In other words, no.
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Old 04-27-2015, 05:30 PM   #70
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Old 04-27-2015, 05:44 PM   #71
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Old 04-27-2015, 09:16 PM   #72
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Neural Networks are the tits.
The 60's called.
They want those "hot new technology" AI books back.
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Old 04-28-2015, 12:08 AM   #73
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I think their network only has something like 16,000 CPU cores at its disposal, so no. Definitely not.
Pseudo-technologist, it also needs GPU to match which cloud arch's don't have FYI.
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Old 04-28-2015, 01:37 AM   #74
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Pseudo-technologist, it also needs GPU to match which cloud arch's don't have FYI.
A PaaS cloud arch can provide GPU.

Also, AI decision trees can often be done using int/long/long long, and don't require using float point. So the number of cores or threads is what matters. That is not necessarily a function confined to a GPU. All you are looking for is MasPar. Arguably, since the probability that a "cache miss" occurs, the GPU would have to spend extra cycles to get to OS level or application level system memory. Then find the non-cached data and read it into the GPU. A CPU thread is generally going to have access to a larger L2/L3 cache and faster/fewer hops to system level memory.

The GPU is merely a simple device to allow multiple threads running in parallel. But, that is not only the domain of a GPU.
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Old 04-28-2015, 02:10 AM   #75
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A PaaS cloud arch can provide GPU.

Also, AI decision trees can often be done using int/long/long long, and don't require using float point. So the number of cores or threads is what matters. That is not necessarily a function confined to a GPU. All you are looking for is MasPar. Arguably, since the probability that a "cache miss" occurs, the GPU would have to spend extra cycles to get to OS level or application level system memory. Then find the non-cached data and read it into the GPU. A CPU thread is generally going to have access to a larger L2/L3 cache and faster/fewer hops to system level memory.

The GPU is merely a simple device to allow multiple threads running in parallel. But, that is not only the domain of a GPU.
I'm so confused by your response because it's just in regards to hypothetical situations and not what's actually deployed
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Old 04-28-2015, 11:51 AM   #76
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I'm so confused by your response because it's just in regards to hypothetical situations and not what's actually deployed
The point you are missing is that the GPU originally was used for its ability to parallelize small computations. You are now seeing CPU chips with more and more cores, their access to memory can be faster as they are not sitting off on a PCI type slot. Each core can have a dedicated path to system memory.

Of course it's hypothetical...I haven't seen their code, however, having worked on multi-core/multi-thread systems since the 90's, I have some fundamental knowledge of how they work.

In early versions the cache miss rate was low, which is why "yellow+wheels more than 2 = schools bus" (it could use a single vga table to define general colour, that colour table is very small (memory wise) and can be stored in an address any thread in the gpu can access. Not a cache miss.

The interesting thing not mentioned in the article is that they are all expounding on Marvin Minsky's "Society of Mind". If you are really interested in "AI" and "neural nets" I suggest giving it a read. Minsky was a co-founder of MIT's AI Lab in the 1970's.

Some of his postulations were considered "out there" for many years. Although the general premise of a model of how the brain works and learns that lends itself to programming is fundamental to AI.

It is my OPINION that it was not until MasPar computing became accessible that what he was talking about could be seen. But, by that time, the fundamentals of that model of AI had been absorbed and taken as a given and he has been largely forgotten. Much as Bob Metcalfe has been forgotten for ethernet. Or Whit Diffie for public-key crypto.

If you are really interested in AI, I highly suggest giving Society of Mind a read. And also for those that are not "tech nerds", it is a very approachable, not particularly "geeky" tome.
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Old 04-28-2015, 01:05 PM   #77
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I'm so confused by your response because it's just in regards to hypothetical situations and not what's actually deployed
what he means is that no, it could not, in fact, run Crysis.
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Old 04-28-2015, 01:09 PM   #78
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what he means is that no, it could not, in fact, run Crysis.
could a computer than runs Crysis 3 run Crysis? (srs)
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Old 04-28-2015, 01:22 PM   #79
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could a computer than runs Crysis 3 run Crysis? (srs)
most likely.
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Old 04-28-2015, 11:55 PM   #80
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Of course it's hypothetical...
That's all you needed to say
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