De technology wey dey create fake computers on top of real computers, dem dey call am virtual machine technology.
If you use virtual machine technology, for example, plenty computers fit dey run for one real computer, but dem no really dey there.
Or, you fit make computer wey get different structure from real computer to act like say e dey there.
Just like virtual machines, you fit also make fake intelligence on top of real intelligence. Dis na wetin we dey call virtual intelligence.
For example, when person dey imagine say plenty pipo dey talk, or e dey act like anoda person, humans dey show virtual intelligence skills.
Conversational artificial intelligence also get virtual intelligence skills. When e dey generate dialogues between two pipo or e dey tell one character to respond, e go show say di current artificial intelligence get high virtual intelligence skills.
Intelligence Orchestration
For computer systems, dem fit achieve system orchestration by using virtual machines.
System orchestration dey make am possible to build and run distributed cooperative systems on-demand. Dem dey achieve dis by combining many computers wey get different specifications and functions.
Dis one dey allow flexible changes to de way distributed cooperative systems are set up, making improvements and adding new features easy.
Currently, when dem dey use conversational AI, sometimes dem dey combine many AIs wey get different roles to do organized tasks.
For such situations, if dem use system orchestration technology, e go similarly allow for flexible switching of many AI roles and combinations, making improvements and adding new features easy.
However, if dem use virtual intelligence, e dey possible to achieve intelligence orchestration instead of system orchestration.
Dis one mean say dem dey use one single AI as de main thing, but inside dat AI processing, dem dey combine many virtual intelligences wey get different roles to do organized tasks.
To combine many AIs through system orchestration, e go need system development.
But, with intelligence orchestration, you fit complete am with just prompt instructions, no need for system development.
By giving instructions for a regular chat interface, organized tasks fit be achieved through intelligence orchestration.
Dis one dey allow for even more flexible and fast improvements and feature additions pass system orchestration.
Ultimate Deliberation
De usefulness of intelligence orchestration no just stop for making system development unnecessary when AI dey do organized tasks.
If you tell AI to think using intelligence orchestration skills, e go dey pushed to deliberate.
Dis deliberation no come from joining plenty informashon, but from joining plenty different ways of looking at tins.
Also, by using de special qualities of intelligence orchestration, you fit tell am to always dey improve or add new features to de roles and structures of many virtual intelligences, or even to do 'scrap-and-build' cycles.
Dis one go mean say you go dey change de way of deliberating itself, over and over again. Dis na ultimate deliberation.
Ultimate deliberation fit make thinking more accurate by reducing misunderstandings and mistakes, and e fit make thinking wider through many different perspectives. Apart from dat, de chemical reaction wey go come from joining plenty informashon and perspectives fit lead to new discoveries and show of creativity.
Conclusion
With virtual intelligence, one single AI model fit deliberate by changing roles and de knowledge e need for tasks. Dis go make advanced organizational intellectual activities possible without needing system orchestration.
Organizational deliberation dey allow AI to analyze and gather experiences of failure, wey go enable am to update its own knowledge. Inside de limits of input token counts, wey dey act as a short-term memory constraint, e fit also summarize knowledge and arrange old information.
As a result, de times for business where artificial intelligence fit truly act as human substitute go increase well-well.