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0 pointsmatu3ba4mo ago0 comments

My definition of intelligence is the capability to process and formalize a deterministic action from given inputs as transferable entity/medium. In other words knowing how to manipulate the world directly and indirectly via deterministic actions and known inputs and teach others via various mediums. As example, you can be very intelligent at software programming, but socially very dumb (for example unable to socially influence others).

As example, if you do not understand another person (in language) and neither understand the person's work or it's influence, then you would have no assumption on the person's intelligence outside of your context what you assume how smart humans are.

ML/AI for text inputs is stochastic at best for context windows with language or plain wrong, so it does not satisfy the definition. Well (formally) specified with smaller scope tend to work well from what I've seen so far. Known to me working ML/AI problems are calibration/optimization problems.

What is your definition?

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Yizahi4mo ago

Forming deterministic actions is a sign of computation, not intelligence. Intelligence is probably (I guess) dependent on the nondeterministic actions.

Computation is when you query a standby, doing nothing, machine and it computes a deterministic answer. Intelligence (or at least some sign of it) is when machine queries you, the operator, on it's own volition.

matu3baOP4mo ago

> Forming deterministic actions is a sign of computation, not intelligence.

What computations can process and formalize other computations as transferable entity/medium, meaning to teach other computations via various mediums?

> Intelligence is probably (I guess) dependent on the nondeterministic actions.

I do agree, but I think intelligent actions should be deterministic, even if expressing non-deterministic behavior.

> Computation is when you query a standby, doing nothing, machine and it computes a deterministic answer.

There are whole languages for stochastic programming https://en.wikipedia.org/wiki/Stochastic_programming to express deterministically non-deterministic behavior, so I think that is not true.

> Intelligence (or at least some sign of it) is when machine queries you, the operator, on it's own volition.

So you think the thing, who holds more control/force at doing arbitrary things as the thing sees fit, is more intelligent? That sounds to me more like the definition of power, not intelligence.

Yizahi4mo ago

> So you think the thing, who holds more control/force at doing arbitrary things as the thing sees fit, is more intelligent? That sounds to me more like the definition of power, not intelligence.

I want to address this item. I think not about control or comparing something to something. I think intelligence is having at least some/any voluntary thinking. A cat can't do math or write text, but he can think on his own volition and is therefore intelligent being. A CPU running some externally predefined commands, is not intelligent, yet.

I wonder if LLM can be stepping stone to intelligence or not, but it is not clear for me.

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pron4mo ago

> My definition of intelligence is the capability to process and formalize a deterministic action from given inputs as transferable entity/medium.

I don't think that's a good definition because many deterministic processes - including those at the core of important problems, such as those pertaining to the economy - are highly non-linear and we don't necessarily think that "more intelligence" is what's needed to simulate them better. I mean, we've proven that predicting certain things (even those that require nothing but deduction) require more computational resources regardless of the algorithm used for the prediction. Formalising a process, i.e. inferring the rules from observation through induction, may also be dependent on available computational resources.

> What is your definition?

I don't have one except for "an overall quality of the mental processes humans present more than other animals".

matu3baOP4mo ago

> I mean, we've proven that predicting certain things (even those that require nothing but deduction) require more computational resources regardless of the algorithm used for the prediction.

I do understand proofs as formalized deterministic action for given inputs and processing as the solving of various proofs.

> Formalising a process, i.e. inferring the rules from observation through induction, may also be dependent on available computational resources.

Induction is only one way to construct a process and there are various informal processes (social norms etc). It is true, that the overall process depends on various things like available data points and resources.

> I don't have one except for "an overall quality of the mental processes humans present more than other animals".

How would your formalize the process of self-reflection and believing in completely made-up stories of humans often used as example that distinguishes animals from humans? It is hard to make a clear distinction in language and math, since we mostly do not understand animal language and math or other well observable behavior (based on that).

VMG4mo ago

ML/AI is much less stochastic than an average human

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