Declarative statements are a fine thing for a politician, but for the rest of us - in particular INTP's - hardly appropriate. Put another way, why? Support your statement.
For one am not a politician I too am INTP. I believe I have supported my statements.
Why? because of the reasons I stated.
I assume you mean 'we', and you are wrong. We know quite a lot about how the brain and mind works, and certainly the basics. Funny how you said this on a Jung psychological types group, the irony.
Yes I did mean 'we'. My apologies. And No, we know very little about how the brain and mind work. What you perceive to be breakthroughs in our understanding of the brain and the mind are really not very useful as far as a computer scientist or mathematicians are concerned.
For biologists and psychologists maybe, but their concerns are different.
Here is the problem, we have a mass of neurons that collectively make up a brain. We understand their biology enough to understand how they work the way they do, their design, layout, etc. But we really dont understand how they generate consciousness and we have never been able to get a group of stem to brain tissue that can observably generate the same kind of consciousness.
The problem for mathematicians and computer scientists is that a human brain seems to be running a wide set of algorithms, from simple neural network algorithms to very complex ones. not only that it's able to write its own code and generate new algorithms when it needs to..... and subconsciously even know when it needs to write its own code and how. This we dont understand. where is the code? how do we reverse engineer it?
You see the model of computation that our would is build on is the Turing Machine. All computational devices... well about 98% of the ones we use today are all Turing machines. You should look it up. Basically a turing machine has the following components.
- A processing unit
- memory
- an input/output devicce
It seem that small groups of neurons work as a processing unit, as memory at the same time. this muddies the waters.
Additionally a turing machine can only execute a single instruction per unit time. The brain on the other hand is able to process what seems like an infinite number of instructions per unit time.
Even the multi core processors that we are currently using are trying to replicate an ability to compute multiple instructions at the same time, but in computer science terms, because of the interface between processor and memory your really still only executing a single instruction at a time..... The brain on the other had has no such interface as memory and processor are one it really is computing instructions at the same time.
One of the most important problems is that there are some extremely simple problems that computers cannot solve in linear time (intractible/undecidable problems) I wont go into the details, but do some research on it.
Wrong again, Google has self driving cars that are mapping out the world. They certainly are acting rationally, and since they have The Golden Rule programmed into them they are also acting morally.
Sorry again.... Programming self driving cars is child's play compared to what the human brain does in its sleep. Again the kinds of computations that these cars are performing doesnt make them intelligent, conscious nor moral.
I've seen documentaries of idiot savants with the ability to use their brains as computers to do all sorts of calculations. It does not make them intelligent. And a computer that does the same is not conscious. Neither is it moral, because the exercise of morality requires not just the ability to make the correct choice, but to understand the difference between good and evil. to understand on a fundamental level the consequences of ones actions and to take responsibility for them.
So?
Why? I've never heard that and very much doubt it. What do you actually know about quantum computing? I have graduate degrees in both quantum mechanics (graduate physics is mosly about QM these days) and computer science, care to chat?
If you understand the physical and computational limits of our current paradigm of computing you will know that electrons cannot travel faster than the speed of light. Simply put there is a limit to which putting more transistors on a core, or increasing the number of cores will improve computational speed and efficiency.
You may have studied quantum mechanics but if you have knowledge of the application of sub-atomic particles to computation, much like we use on and off switches in our current paradigm you would understand that quantum computing is a possible way to overcome the the computational speed, efficiency and the problem of intractable and undecidable problems.
Am available to chat whenever you like. You know where to find me.
We have software which knows how to write that sentence better than you do.
If you've really studied computer science then you would realise that this is a trivial problem given enough space and time.