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+--- Thread: A Scientist Trained an AI to Invent Halloween Costume Ideas (/thread-4408.html)
A Scientist Trained an AI to Invent Halloween Costume Ideas - C C - Oct 30, 2017
http://www.sciencealert.com/a-scientist-trained-ai-to-come-up-with-halloween-costume-ideas-and-the-results-are-pretty-amazing/
EXCERPT: [...] It did pop out some gibberish, especially at first. But it also came up with ideas like the goddess butterfly, sad pumpkin king, party scarecrow, pickle witch, and this dragon of liberty [...] "I would argue that the Halloween costume neural network is actually right up there at coming up with creative things that humans love," Shane said. "It can form its own rules about what it's seeing rather than just memorising." ...
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RE: A Scientist Trained an AI to Invent Halloween Costume Ideas - Syne - Oct 30, 2017
Are we really calling this AI?
RE: A Scientist Trained an AI to Invent Halloween Costume Ideas - C C - Oct 30, 2017
(Oct 30, 2017 03:04 AM)Syne Wrote: Are we really calling this AI?
Narrow AI or specific task category. But the results they provide a snapshot of looks like little more than the activity of a not completely random name generator. If it learns or makes up its own governing patterns to some extent, then that slash being a neural network may be the only thing distinguishing its work from an ordinary program's. Or maybe I'm suffering from "AI effect".
Alex Castrounis: "Something worth mentioning is a concept known as the AI effect. This describes the case where once an AI application has become somewhat mainstream, it’s no longer considered by many as AI. It happens because people’s tendency is to no longer think of the solution as involving real intelligence, and only being a application of normal computing. This despite the fact that these applications still fit the definition of AI regardless of widespread usage. The key takeaway here is that today’s AI is not necessarily tomorrow’s AI, at least not in some people’s minds anyway." (Conceptual Overview)
- - -RE: A Scientist Trained an AI to Invent Halloween Costume Ideas - Syne - Oct 30, 2017
Ah...
"Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving"." - wiki
RE: A Scientist Trained an AI to Invent Halloween Costume Ideas - RainbowUnicorn - Oct 30, 2017
(Oct 30, 2017 02:56 AM)C C Wrote: http://www.sciencealert.com/a-scientist-trained-ai-to-come-up-with-halloween-costume-ideas-and-the-results-are-pretty-amazing/
EXCERPT: [...] It did pop out some gibberish, especially at first. But it also came up with ideas like the goddess butterfly, sad pumpkin king, party scarecrow, pickle witch, and this dragon of liberty [...] "I would argue that the Halloween costume neural network is actually right up there at coming up with creative things that humans love," Shane said. "It can form its own rules about what it's seeing rather than just memorising." ...
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its lol jim but not as we know it.
Question.
when is AI not AI ?
or... when is a computerised sorting machine called a creative designer ? (probably more so the real debate around what is AI & what is not i might ponder)
Generically speaking the computer is just sorting pictures with pre-defined perameters with word attachments.
it then simply randomly mixes those up to find associations of varying calibre which is set as a pre defined value by a person.
thus the output is a measured result of defined measurement perameters put in which sorts information...
Gimmic wise the average sheople lap this type of thing up as a consumer disposable fashion trend idea. lasts a few months maybe before it becomes yesterdays news.
(Oct 30, 2017 04:05 AM)C C Wrote:(Oct 30, 2017 03:04 AM)Syne Wrote: Are we really calling this AI?
Narrow AI or specific task category. But the results they provide a snapshot of looks like little more than the activity of a not completely random name generator. If it learns or makes up its own governing patterns to some extent, then that slash being a neural network may be the only thing distinguishing its work from an ordinary program's. Or maybe I'm suffering from "AI effect".
Alex Castrounis: "Something worth mentioning is a concept known as the AI effect. This describes the case where once an AI application has become somewhat mainstream, it’s no longer considered by many as AI. It happens because people’s tendency is to no longer think of the solution as involving real intelligence, and only being a application of normal computing. This despite the fact that these applications still fit the definition of AI regardless of widespread usage. The key takeaway here is that today’s AI is not necessarily tomorrow’s AI, at least not in some people’s minds anyway." (Conceptual Overview)
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ironicaly enough when you look at the average adult creativity capability, it is not actually creativity but in fact mimmicry.
which as a direct comparible IS there for AI equal to the average adult.
note i say adult as you should be aware how marketing companys go to small children to get them to work for free creating truly creative ideas for them to make millions off.
RE: A Scientist Trained an AI to Invent Halloween Costume Ideas - stryder - Oct 30, 2017
AGI (Artificial General Intelligence) terms:
Weak AI/ Narrow AI / Professional System
A system built for a particular task, "it can't think outside the box"
Strong AI
A self evolving system that attempts to broaden it's capacity beyond it's initial programming.
A good philosophical example of Strong AI would actually be the Universes and it's existence, While we might have some people religiously state that the 'Big Bang' is where the universe spontaneously came into being, there is still questions in regards to what caused it as a catalyst, as without a catalyst it would never have happened on it's own.
Strong AI is much the same, if you create too much of a catalyst, you Weaken it's Strength, so it becomes a Semi-Strong AI, thereby negating it being termed as a Strong AI.