Hi Keyvan

I like your idea a lot. It simplifies the complexity of the emerging,
matrixed culture of expert work. It also trends with the maturity model for
various industries, to tokenise and monetize commodities.

I particularly love the step up to useful e-Gov. I think this feature is
what makes you a leader in the industry.

I'd like to make one suggestion. Would you consider inviting in other
experts in the IT industry, not just developers?

For example, part of what I developed, tested and published was an e-Gov
system.

I tested the theory for years on IT projects as a hand system. It includes
a method that functions as a reasoning agent (for context specification and
management).

In the future, as you say, it would interact with users to structure their
knowledge as contexts in real time, seamlessly integrating with the
existing context universe.

Each context-structure event (diagram) conforms to accepted systems theory
and software-engineering standards. It's also Enterprise Architecturally
compliant. All in all, industry relevant and broadly compliant.

On one 6-month project, I employed the methodology with a GIS software
house. It generated tremendous revenue for them. Further, the business spec
results could be used AS-IS as input for the developers to write optimal
code against. This work method is mature and automation ready.

The methodology can achieve all this, because the scientific method is
fractal based (ergo, fully adaptive). Further, as an ontology it acts as a
universal, data independent shell and uses a standardized "language"
throughout. A simple, symbolic language, made coherent via standards and
algorithms, which I call 'Blocks and Arrows'.

What would have to be added, never specified, is the logic for my Q&A
research approach to facilitate the knowledge capturing process. The
personal agent, which you mentioned, would also have to act as a
requirements facilitator and solutions architect.

In my experience, developers flourish with the support of these expert
services. In your solution, all developers would be given a fair chance to
succeed, because they would all receive the same standard of support
services. To vet the output of developers correctly, as opposed to using a
subjective social-media model, would require a standards-based measuring
tool. This methodology would go a long way towards fulfilling that
function.

I also have decades of training models from real cases, many of those
highly-complex, adaptive systems models. Some of these systems are
4D-enabled systems, such as the covid19 research and social-regeneration
models for Cleveland inner city. AI could learn from all of these.

Last, the future of this tech is to partner with human knowledge, in any
domain. I see a great use for it in AI-based counseling, advising,
consulting, strategising, contract negotiations, deal making and
management. It would hold hands with many aspects of blockchain
functionality.

Anywhere where human decisions have to be made, "Essence" would fit right
in.

For now, it's oriented towards systems-based solution engineering. This,
because I'm an advocate of quantum-based engineering.

The development and testing of my theory towards effective AGI is ongoing.
Soon, we'll gain the scientific knowledge and mechanisms to simulate
original life on Earth.

I think if you're going to put the effort into the features you described
in your video, you may as well architect it for a future, such as the one I
described here. within 5 years, these features may well become everyday
work reality.

This would be a future where AI would spawn on-demand expert brains of
specialized tacit knowledge and explicit competencies (skills), which could
be rented out, combined, merged with humans, or sold outright.

In the interim, I envisage tokenized knowledge competencies, as a
hybridized Human2AI2Human business model.

Happy to chat.

Robert Benjamin

On Tue, Jun 4, 2024, 03:06 Keyvan M. Sadeghi <[email protected]>
wrote:

> Wanted to share a thing we've been working on for a few months:
>
> https://youtu.be/GqQ55Uy6zTE
>
> Slides attached.
>
> Feedback is much appreciated 🤗
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