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How We dey Arrange Virtual Intelligence

Di way wey technology take allow virtual computer to dey run for inside oda computer, we dey call am virtual machine technology.

If you use virtual machine technology, for example, plenty computers fit dey run virtually for inside just one real computer.

Or, you fit make computer wey get different architecture from di real computer to dey behave like di real one.

Just like virtual machines, e possible to make virtual intelligence dey run on top of real intelligence. We dey call dis one virtual intelligence.

For example, when person dey imagine say plenty people dey talk, or when person dey act like anoda person, humans dey show say dem get di skill of virtual intelligence.

Conversational AI also get di skill of virtual intelligence. When e dey make two people talk, or when you give am instruction and make character respond, e clear say current artificial intelligence get high level of virtual intelligence skill.

How Intelligence Dey Work Together (Intelligence Orchestration)

For computer systems, you fit arrange system well well by using virtual machines. We dey call am system orchestration.

System orchestration dey make am possible to build and run distributed cooperative systems anytime you need am. Dem dey do dis by combining plenty computers wey get different different features and functions.

Dis one dey make am easy to change how distributed cooperative systems are set up, and e make am simple to improve dem or add new things.

Nowadays, when people dey use conversational AI, sometimes dem dey combine plenty AIs wey get different different work to do organization tasks.

For dis kind case, if you use system orchestration technology, e go still dey easy to change di work and how di AIs are combined, so e go dey simple to improve dem or add new features.

But on di other hand, if you use virtual intelligence, you fit get intelligence orchestration instead of system orchestration.

Dis one mean say you go use just one AI as di main thing, but inside di way dat AI dey process things, plenty virtual intelligences wey get different different work go combine to do organization tasks.

To combine plenty AIs using system orchestration, you go need to develop system.

But for intelligence orchestration, you fit finish am just by giving prompt instructions, so you no need to develop any system.

By just giving instructions through normal chat interface, you fit achieve organization tasks through intelligence orchestration.

Dis one go make am even more flexible and fast to improve things and add new features pass system orchestration.

Final Final Way To Think Deep (Ultimate Deliberation)

Di good thing about intelligence orchestration no just be say e dey commot di need for system development when AI wan do organization work.

By telling AI make e "think" using im intelligence orchestration skills, you dey ginger am to think deep.

Dis deep thinking no be about combining plenty information, but about combining plenty different ways of looking at things (perspectives).

Wetin pass dat, by using wetin make intelligence orchestration special, e possible to tell di AI make e dey do am over and over again to improve and add new things, or even destroy and build afresh, di work and structure of plenty virtual intelligences.

Dis one go allow for trial and error for di way wey dem dey think deep, and e go lead to di ultimate deep thinking.

Ultimate deep thinking fit reduce confusion and mistakes, make thinking more correct, and open up thinking to many different angles. On top dat, when plenty information and perspectives combine, e fit lead to new discoveries and show creativity.

Conclusion

Virtual intelligence dey make one single AI model fit switch between di knowledge wey relate to different roles and tasks as e dey think deep. Dis one go make am fit do advanced intellectual work for organization without needing system orchestration.

Through organized deep thinking, AI fit analyze and gather past mistakes to update its own knowledge. Also, for di small space wey e get for short-term memory (input tokens), e fit summarize knowledge and arrange old information.

Dis one go seriously increase di times wey AI fit truly replace human beings for work for business places.