You are right Ben, an Agent can gain experience of the world and make sense
of it interacting through a great number of physical interfaces
simultaneously but this would be the most dangerous thing to do while
developing AGI. I have to believe that who is developing these things is
not doing it through internet but within a controlled and closed
environment where he can control inputs and outputs and control the
speed at which the inputs are given to the Agent in order to avoid a sudden
acceleration that can go out of hand (hard take off), right?

On Thu, Oct 22, 2015 at 4:13 AM, Ben Goertzel <[email protected]> wrote:

>
>> I have a last consideration that I think is very important about the hard
>> or soft take off.
>>
>> Once an AGI with the minimum characteristics above mentioned will be
>> created, it will have to be trained in dealing with the real world and it
>> will take a long time because the feedbacks form our world are very slow
>> and not repetitive. The Agent will have to gain experience as we do and it
>> will not matter how fast the Agent will process the information, it will
>> still have to wait for feedbacks. It may take years, it may be like rising
>> a child, nothing like an overnight full immersion.
>>
>> How close are we to this?
>>
>>
>
> That doesn't make sense to me, because an AGI agent will not be restricted
> to a single human-like robot body to learn with -- it will be able to learn
> in parallel from the world, using a host of different sensors and
> actuators...  The degree to which is can exploit this potential for
> massively parallel learning will depend on the particular AGI architecture,
> right?
>
> -- Ben
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