Hi Robert, So sorry, seems I missed your message in the sea of GPT nonsense 🙈
Great insights! I too feel a higher level abstraction of language exists that captures all the noise we humans generate in compressed form. But so did every AI researcher before us 😀 Would be interested in knowing the difference between "Blocks and Arrows" and traditional crisp logic, things like semantic triples. I also think those of us versed in symbolic reasoning are not catching up to the reality of the direction mainstream research is going, LLMs are now catching up to methods like concept formation, and "learning" concepts seems more elegant than hard coding them, as peeps like Doug Lenat figured the hard way. I'd love to geek out more, preferably higher bandwidth. You down for a video chat? Love, K On Tue, Jun 4, 2024, 2:20 AM Quan Tesla <[email protected]> wrote: > 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 🤗 >> > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + > delivery options <https://agi.topicbox.com/groups/agi/subscription> > Permalink > <https://agi.topicbox.com/groups/agi/T5f0eddfa4fdfd154-M91ceb71a53329be8152c7f0b> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T618554921fdb2b06-M395a3cfea04b95a667bfca93 Delivery options: https://agi.topicbox.com/groups/agi/subscription
