some people think a cellphone is at least partially intelligent, hence the name smartphone.
And these people are idiots.
Thats why when you asked
>> Where in the world are actual intelligent networks?
it appeared to me to be a very ignorant question and was really my poiint in showing you lots of diverse links to differnet forms of what different smart people consider intelligence to be.
Two things here:
- I wasn't the one who asked that question, please pay attention to the usernames.
- All of your links demonstrated either reporters misreporting (e.g. the guardian article), or "smart" people trying to sensationalize something to get more funding (e.g. the turing test being passed, the vast majority of experts disagree that it actually passed). The other projects weren't even claimed to be intelligence (e.g. the animatronic chatterbot).
And that's exactly what the original asker of that question was getting at. There are no programs that can reliably pass the turing test without special rules in place, there are no actual "intelligent" networks, and most of the expert systems rely on a huge team of programmers and analysts to populate the database and create the search parameters. He asked the software equivalent of "where's my flying car" and then you did the software equivalent of calling him ignorant and linking the wikipedia article to a moller skycar and a sensationalist news report about flyboards, then claiming those are the beginnings of real jetpacks and flying cars.
Regardless of what you clearly thing about neural nets, I still belive they demonstrate at least some level of basic intelligence, as does most any algorithm that evaluates and adapts and so improves its own behaviour in order to reach some goal without needing ongoing input at each iteration (i.e. programming) by a human.
It's not a matter of what I "thing" about neural nets, it's a fact. And by the same token, what you "belive" about them doesn't change anything. Please please please go find a tutorial and implement a neural net on your own if you still can't understand that. They aren't "learning" or "adapting" anymore than a summation equation that approaches a limit is learning or adapting. A neural net boils down to literally a set of 1-dimmensional linear algebra matrices in which the numbers in one matrix are tweaked up or down after each iteration.
It seems to me that until someone can define "true" intellgience (whatever that means) there is no point in trying to diferentiate between it and apparent intelligence
That's a cop out. If you want to argue semantics, then by all means lay down some terms and we can have that discussion. Otherwise, by most accepted definitions of intelligence, there are no algorithms that exhibit signs of actually having it. The closest you might be able to get is swarm behavior, but even that is simply individual units responding in a very basic way to very basic stimulus. It appears complex and emergent because we have trouble following that many things at once.