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Section 3 / Page 87

Some Of The Questions I Asked To Derive Some Of The Conclusions Reached Within This eBook, Are As Follows: -

(Q) If you wished to train an A.I. system then how would you do that?

(A) What better way than to have human beings train it.

 

(Q) How do you get human beings to co-operate in such a venture?

(A) By providing them with what they want.

 

(Q) How would you provide that A.I. system with the processing power required?

(A) By allowing the system to utilise all the end user platforms connected, within an always-on grid set-up.

 

(Q) How could this be done cost effectively?

(A) By implementation of the concepts listed.

These questions led me to some of the conclusions derived within this ebook, ultimately this was about the setting up of a macroscopic neural network, in other words, a very large grid setup, employing increasingly sophisticated transivity mechanisms, utilising a distributed A.I. design, in which each users interaction, along with every algorithm, model etc, would be adding to the MNN's collective knowledge base. The funding coming from all of the ways listed.

The envisioned macroscopic neural network set-up can be likened to the brain, e.g. the comparison can be made, that the individual processing elements of the brain, at the cellular level are pretty dumb i.e. if you asked a set of cells or neurons a question, then they wouldn't be able to give you an answer. In a similar way, the individual agents / processing elements of the grid would also be pretty dumb, but when working together in the right way, then there is no reason to think that they could not mimic the brain and it's behaviour, in a macroscopic format.

By controlling the structural development of the databases and by designing at least a part of the software architecture and the embedded software code and plug-ins required, then the developers would in effect have become the operators of the franchised network and the controllers of the envisioned databases thus in turn, owners and operators of the MNN. The MNN was seen as taking the connectionism concept, to the Nth degree and then some.

Bandwidth will keep increasing, (see fast TCP), the platforms available and capable will also keep increasing, so the MNN was seen as being purely a software engineering problem, rather than a hardware specific problem. As end user platforms increase in their capabilities, then so would the systems or networks capabilities. So allowing the system to develop, without the expense normally associated with the setting up of all of the hardware.

The profit or figures that would normally be shown within a straightforward business proposition, should ultimately be seen as meaningless, that's to anybody who has truly understood the scope and wide ranging nature of all this. If the system had been developed then the profits could have been astronomical.

Also the end of the free Internet is being predicted, with premium sites and content providers charging per usage. If this is the way it goes, then the proposed databases could have become an even bigger money earner, with the competition making it even easier to charge for the content uploaded to the mass audience. Although the democratisation of any market will eventually lead to a slow down in revenues for a single operator, the system should still have had a long shelf life due to it's inherent upgradeability.

The future of computing power probably won't lie within the desktop PC, the net itself may start to provide processing power back to users in real time via the use of online grid providers, this was another probable income source for the systems owners. The innate flexibility of the envisioned system, should have meant that the needs of the market could have been addressed, whilst at the same time, allowing the business to carry on functioning, even if the market changed.

The pay per click business model is showing a way in which this type of system could have worked at some levels. The return on investment (ROI), should have been enormous and the amount of ancillary revenue streams that could have been generated are too many to list within the confines of this e-book.

If you wish to understand how such a system could work in it's preliminary stages, then Google is a good indicator. Google in effect has the potential to profit from millions of advertisers, using their Google adsense system, they in effect have the potential to reach millions of websites each of which can be turned into an advertiser, with Google being the virtual middleman, this is why Google is becoming so profitable. Imagine Google is the shopping mall and most of the businesses under their roof are paying them rent, but unlike a mall, they are also profiting from both the businesses and the visitors, but it's bigger than that, because it doesn't matter which mall you enter, MSN, AOL etc, at the end of the day, Google is like a never ending interconnected spiders web, which has become large enough to virtually encompass the entire internet.

If you don't know what Google adsense is all about, then click play - but if you already know, then I wouldn't bother:-

It is a web based application, that can be seen as one of the steps towards an MNN type system.

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Author Alan Keeling