The process of outwardly expressing meaning may be fundamental to any social
intelligence but the process itself needs not much intelligence.

Every email program can receive meaning, store meaning and it can express it
outwardly in order to send it to another computer. It even can do it without
loss of any information. Regarding this point, it even outperforms humans
already who have no conscious access to the full meaning (information) in
their brains.

The only thing which needs much intelligence from the nowadays point of view
is the learning of the process of outwardly expressing meaning, i.e. the
learning of language. The understanding of language itself is simple.

To show that intelligence is separated from language understanding I have
already given the example that a person could have spoken with Einstein but
needed not to have the same intelligence. Another example are humans who
cannot hear and speak but are intelligent. They only have the problem to get
the knowledge from other humans since language is the common social
communication protocol to transfer knowledge from brain to brain.

In my opinion language is overestimated in AI for the following reason:
When we think we believe that we think in our language. From this we
conclude that our thoughts are inherently structured by linguistic elements.
And if our thoughts are so deeply connected with language then it is a small
step to conclude that our whole intelligence depends inherently on language.

But this is a misconception.
We do not have conscious control over all of our thoughts. Most of the
activities within our brain we cannot be aware of when we think.
Nevertheless it is very useful and even essential for human intelligence
being able to observe at least a subset of the own thoughts. It is this
subset which we usually identify with the whole set of thoughts. But in fact
it is just a tiny subset of all what happens in the 10^11 neurons.
For the top-level observation of the own thoughts the brain uses the learned
language. 
But this is no contradiction to the point that language is just a
communication protocol and nothing else. The brain translates its patterns
into language and routes this information to its own input regions.

The reason why the brain uses language in order to observe its own thoughts
is probably the following:
If a person A wants to communicate some of its patterns to a person B then
it has solve two problems:
1. How to compress the patterns?
2. How to send the patterns to the person B?
The solution for the two problems is language.

If a brain wants to observe its own thoughts it has to solve the same
problems.
The thoughts have to be compressed. If not you would observe every element
of your thoughts and you would end up in an explosion of complexity. So why
not use the same compression algorithm as it is used for communication with
other people? That's the reason why the brain uses language when it observes
its own thoughts. 

This phenomenon leads to the misconception that language is inherently
connected with thoughts and intelligence. In fact it is just a top level
communication protocol between two brains and within a single brain.

Future AGI will have a much broader bandwidth and even for the current
possibilities of technology human language would be a weak communication
protocol for its internal observation of its own thoughts.
 
- Matthias

>>>
Terren Suydam wrote:


Nice post.

I'm not sure language is separable from any kind of intelligence we can
meaningfully interact with.

It's important to note (at least) two ways of talking about language:

1. specific aspects of language - what someone building an NLP module is
focused on (e.g. the rules of English grammar and such).

2. the process of language - the expression of the internal state in some
outward form in such a way that conveys shared meaning. 

If we conceptualize language as in #2, we can be talking about a great many
human activities besides conversing: playing chess, playing music,
programming computers, dancing, and so on. And in each example listed there
is a learning curve that goes from pure novice to halting sufficiency to
masterful fluency, just like learning a language. 

So *specific* forms of language (including the non-linguistic) are not in
themselves important to intelligence (perhaps this is Matthias' point?), but
the process of outwardly expressing meaning is fundamental to any social
intelligence.

Terren




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