Adalwolf wrote:Personally, I think AI is too dangerous and should be abandoned. However, if it is created, it must be ruled with and iron fist and never allowed to even think that it can control or hurt real people. There should be built in coding, if AI is created that is, that makes it subservient and safe.
What is your position on human beings: should they be ruled with an iron fist and never allowed to even think it could control or hurt real people?
As AI would be created by man, I don't see how it would be free thinking. Wouldn't it just be lines of coding?
Babies are created by man (and woman). Do you understand how a baby could be free thinking?
Making an AI does not require being able to understand that AI. As an example, we can make human babies without understanding how they work. AI is just building intelligence on a different substance.
Jack.H wrote:I like how you trivialize the problem of other minds, but that doesn't make it any less of a problem. Behavior simply isn't sufficient for intelligence. If a sufficiently complex formal computer program acts just like a human but doesn't invest any semantic meaning into its words or expressions, it isn't on par with a human being with regards to being an intelligent agent.
Behavior is clearly sufficient for you to think that the people you interact with are intelligent. If something has the surface characteristics of X (on all sides in time and space), it
is X: I believe in holograms

(Anything that isn't time-space surface characteristics is something you cannot interact with. Asserting the existence of IPU's is fun, but doesn't mean I won't dismiss you out of hand for being foolish.)
No, by strong AI I mean actually creating a sentient, intelligent computer program. I'm not here arguing against weak AI. Just because so-called strong AI problems weren't strong AI problems doesn't change the difficulty of fulfilling the ultimate end of strong AI.
So, what progress could one make towards an sentient, intelligent computer program that you would recognize other than "make a sentient, intelligent computer program"? Understanding of the structure of the brain? Building models of neurons that are more and more accurate? Estimates of the computational complexity of the human brain? Building models that seem to be about as smart as insects?
If you take every problem except, say, "writing a play at the quality of Willian Shakespear", and reduce it to a solved problem, does that mean that we haven't created a Strong AI? Or does it mean that the AI we created isn't a good playwrite?
That is basically what is going on -- we are making systems that solve problems that once required a human brain to solve. Often these end up using methods that are probably not what people use. Sometimes we find methods that seem to be damn close to what people are using.
The field of cognitive science is attempting to study human cognition by computer models. Models that have delays and "energy costs" that model human response are considered better options. If they can find structures in the brain that seem to follow the internal states, that is even better.
So no, humanity hasn't solved the strong AI problem. But from what we know of how complex the human brain is, this isn't surprising. The human brain is doing a ridiculous amount of processing every second, more so than any computer we own by a significant degree. We also use most computers in a very different way than the human brain: as evidenced by whales, raw numbers of information processing nodes isn't sufficient to produce intelligence. The layout of the nodes also seems to matter (duh).
On the other hand, we have produced both emulations and simulations of various sub-components of human and other brains. Simulations of large numbers of neurons, and emulations of parts of the brain of a critter, which produce surface behavior that lines up with the chunk of the brain we are trying to duplicate. (ie, flaws/quirks, "energy" use, etc)
"So what?" -- well, this is evidence that increases in computation power has led to advances towards strong AI. We are still a number of orders of magnitude below where current science indicates that duplicating the processing power of the brain is possible. It turns out that the human brain isn't ridiculously inefficient at cognition that we can duplicate it's behavior using simple algorithms and a handful of clock cycles -- so we study how the brain works even closer, generate more complex algorithms, and throw more clock cycles at it.
Eventually we hit the point where our model is in 1-1 correspondence with the original -- that day seems only a few decades off. At that point, we are able to experiment with the laws of biology that is under the model, and determine what is needed and what isn't. (barring ethical issues)
I'm not arguing against our possible future ability to reverse engineer the human brain, I was just asserting my opinion on the topic.
I'm just asserting that your opinion is wrong.
