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- Frequesntly Asked Questions About SHE Zen AI
Frequently Asked Questions about SHE ZenAI and Artificial Intelligence. Frequently Asked Questions about SHE ZenAI and Artificial Intelligence.
- SHE ZenAI – The Personal AI Operating System with Five Industry Firsts | Design By Zen
Designer AI that unites health, wealth, and connectivity. CI-powered empathy, personal AI firewall, and cross-device sync -creating the new standard for intelligent, ethical technology. Early Access SHE ZenAI The First Unified AI Operating System Five industry firsts in one platform. Four decades of innovation culminating in technology that redefines personal intelligence. “I’ve witnessed this theory evolve into breakthrough, model‑less LLM AI over three years. The engineering execution, based on my 35 years at the highest industry levels, including CTO roles and co‑founding HealthTech businesses -sets a new standard in AI ecosystem architecture. Having built healthcare solutions for 200,000+ users, I can say this isn’t incremental innovation; it’s transformational technology.” Ian Williams, UK Director, July 2025 What is SHE ZenAI? Through advanced Omega* algorithms SHE ZenAI learns and adapts to each individual's unique needs and preferences. It's not an LLM with those known venerabilities but we love to use the best LLM's as tools. By analysing lifestyle data while prioritising data privacy, the Omega* engine provides tailored recommendations to optimise nutrition, exercise, sleep, and stress management. Your in control of what, and when, always. The dynamic mobile app is called "Unified One" This is just the beginning. Imagine a world where AI-powered personalised medicine becomes the norm, chronic diseases are prevented, and individuals are empowered to live longer, healthier, and more fulfilling lives. Start Now Your Personalised Lifestyle SHE ZenAI is more than just an AI assistant; it's your personal guide to how to deal with and enjoy a healthier, wealthier, and more connected life. It's like "her" in the 2013 Movie but real. With a focus on data privacy, SHE keeps your information secure while providing you with hyper-personalised insights and recommendations. We call them "Nudges and Whispers". SHE learns your patterns, anticipates your needs, and proactively suggests actions to improve your Comfort Index (CI) -a measure of your overall well-being. We focus on health, wealth and connectivity matters with real time speed. Its all about making things, simple. Nurture your health, manage stress, track investments, and even enhance your relationships through "Insights". General Adaptive Intelligence is not just about completing tasks; it's about empowering you to live your best life. Amazing technology that requires stewardship and a custom protection with our "Eye on AI" firewall. Learn More From the tech labs to primetime: Trusted insights, featured stories. Simulating a Healthier Future with Stanford's "AI Town" To further refine our personalized health interventions, SHE ZenAI is integrated with Stanford's innovative "Zen City" simulation. This virtual environment allows us to test and optimize our algorithms in a realistic setting, ensuring that our recommendations are effective and tailored to the complexities of real-world scenarios. By analyzing data from Zen City, SHE ZenAI gains a deeper understanding of how different lifestyle factors impact health outcomes. This enables us to develop even more precise and personalized interventions, ultimately helping individuals achieve their health and longevity goals. The Omega* Zen City integration is a testament to our commitment to continuous innovation and our dedication to pushing the boundaries of what's possible in AI-powered health solutions. Start Now So What do we Offer? A future where "personalised AI" empowers individuals to live richer, healthier, and more fulfilling lifestyles in an AI era. Don't miss this opportunity to be part of something truly extraordinary. Contact “Pure genius. In 40+ years evaluating technology investments—from my time at Citibank and Crédit Agricole to chairing listed tech companies, this is the most impressive technical demonstration I’ve witnessed.” Simon Bennett, PLC Director, June 2025 Revolutionary Conversational Interface Online, offline, and synchronised across all devices with CI-powered empathy and nuance Online & Offline Continuity Seamless conversation whether connected or not. Your AI companion works everywhere. Mobile-Desktop Sync Start conversations on mobile, continue on desktop. Perfect synchronsation across devices. CI-Powered Empathy The first voice AI that understands emotional context through Comfort Index intelligence. Nuanced Communication Advanced prosody and contextual understanding that feels naturally human. Contact Unique & Novel A future where "personalised AI" empowers individuals to live richer, healthier, and more fulfilling lifestyles in an AI era. Unified Theory in Code The first implementation of unified intelligence theory as executable code, bridging the gap between theoretical AI and practical application. General Adaptive Intelligence Novel code architecture enabling true adaptive intelligence that learns and evolves with your unique patterns and preferences. Creator Data Marketplace You own and monetise your data. The first marketplace where you're the creator, controller, and beneficiary of your information. Personal AI Firewall Revolutionary protection layer that secures your AI interactions while maintaining privacy and personal data sovereignty. Eternal Insights Revenue Automated and professional-level insights that generate ongoing market revenue streams directly to your benefit. Contact A Healthier Future By analysing data and learning Omega* gains a deeper understanding of how different lifestyle factors impact health outcomes. This enables us to develop even more precise and personalised interventions, ultimately helping individuals and organisation achieve their goals. The Omega* system integration is a testament to our commitment to continuous innovation and our dedication to pushing the boundaries of what's possible in AI-powered solutions. Start Now Our Designer AI Integrator 101's FAQ on our Artificial Intelligence. JOIN the Waitlist Performance What others say about how well we do. "The iPod of Gaming" - Paul Collins, MD, Sticksports "I have had 2 VisionRacers since GT4. It's part of the family now. Get one!" - Greg Murphy, V8 Supercar legend "I could have gone faster if I had a VR3 earlier in my career." - Lucas Ordonez, 1st No.1 VR Pro Driver More Testimonials >> Design By Zen's EDGE E thical - is well-being before profit, D esigner - X factor people & things, G reen - Actions = the right to exist, E cosystem - more valuable together . Step 1: Build knowledge today. 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- SHE Zen AI: The Heartbeat of Design By Zen's AI Integration Mastery
SHE ZenAI by Design By Zen. The Vision, the Mission, the Goal of a designer personalized AI with a Comfort Index (CI) of satisfaction. 42 Years of Innovation – The First Personal AI OS Powered by Comfort Index From PC Pioneering in 1982 to Ethical AI in 2025 – Our journey built the Comfort Index (CI) to humanise decision intelligence. Our Proven Legacy of Design & Impact Experience, Expertise & Achievements - 2025, Unified One app for Health, Wealth, Connectivity - 2024, SHE ZenAI Omega* Master Algorithm - 2023, SHE ZenAI - SHE ZenAI Q*, K* & O* - 2021, Neurally unified network Operating System (NunOS) - 2020, Comfort Index Constant (CI) - 2014, "EDGE" NZ 1st virtual reality resort - 2013, RMIT Uni UAV R&D sim lab built - 2011, GT40 V12 X1p car, GT40 history - 2010, WIRED Times Square, by invitation - 2010, VisionRacer VR3 "Lovemark" accolade - 2010-14, "EQ1" Earthquake-ready furniture - 2009, WIRED Mag, "VisionRacer 8/10" - 2009, T3 Mag, "Holy Grail of Simulators." - 2009, Patent, CNNZ, US & UK Designs - 2007, Business Review, Top 100 Houses, H&G Mag - 2003, CULT Sports Cars - 2000, - Business Exist to US VC - 1992 - 99, Networking - Cisco VAR Business, London - 199I, FOREX system development - 1981, Apricot, PC CAD, Victor, MPM, Dec PDP. Event Milestones Research, Understanding, & Execution Since '91 Read More Meet the Team Discover a team of visionary experts, where technology and empathy intersect. Read More David Harvey CEO & Inventor, Author My Profile Maxine Gold PA to Management Posts Dave Anderson AI Agent Orchestration Posts Sara Webb Multi Modal Media Posts Bruce Sullivan Business Development Posts Join & build the Universe. Great brands we have worked with. Subscribe today, build knowledge. Enter Your Email Join Thanks for subscribing. We respect your privacy.
- SHE Zen AI: The Heartbeat of Design By Zen's AI Integration Mastery
SHE ZenAI by Design By Zen. The Vision, the Mission, the Goal of a designer personalized AI with a Comfort Index (CI) of satisfaction. 42 Years of Innovation – The First Personal AI OS Powered by Comfort Index From PC Pioneering in 1982 to Ethical AI in 2025 – Our journey built the Comfort Index (CI) to humanise decision intelligence. Our Proven Legacy of Design & Impact Experience, Expertise & Achievements - 2025, Unified One app for Health, Wealth, Connectivity - 2024, SHE ZenAI Omega* Master Algorithm - 2023, SHE ZenAI - SHE ZenAI Q*, K* & O* - 2021, Neurally unified network Operating System (NunOS) - 2020, Comfort Index Constant (CI) - 2014, "EDGE" NZ 1st virtual reality resort - 2013, RMIT Uni UAV R&D sim lab built - 2011, GT40 V12 X1p car, GT40 history - 2010, WIRED Times Square, by invitation - 2010, VisionRacer VR3 "Lovemark" accolade - 2010-14, "EQ1" Earthquake-ready furniture - 2009, WIRED Mag, "VisionRacer 8/10" - 2009, T3 Mag, "Holy Grail of Simulators." - 2009, Patent, CNNZ, US & UK Designs - 2007, Business Review, Top 100 Houses, H&G Mag - 2003, CULT Sports Cars - 2000, - Business Exist to US VC - 1992 - 99, Networking - Cisco VAR Business, London - 199I, FOREX system development - 1981, Apricot, PC CAD, Victor, MPM, Dec PDP. The Vision. A world where AI aligns ethically with human flourishing. Learn More The Mission To deliver the first Personal AI OS that integrates health, wealth, and connectivity through Comfort Index calculus.” Learn More Event Milestones Research, Understanding, & Execution Since '91 Read More The Goal.., Personal & Social Harmony with Improved Lifestyle. Meet the Team Discover a team of visionary experts, where technology and empathy intersect. Read More David Harvey CEO & Inventor, Author My Profile Maxine Gold PA to Management Posts Dave Anderson AI Agent Orchestration Posts Sara Webb Multi Modal Media Posts Bruce Sullivan Business Development Posts Our Story "David W Harvey has spent 42 years pioneering breakthrough technologies that reshape entire industries. His journey began in 1982 selling one of the first PCs in Australia to CSIRO, progressing through Computer Broking and Finance's DEC systems expertise before relocating to UK HQ after CBF's 1989 acquisition. After Atlantic Computers Plc collapsed in 1990, he was a co-founder of CSF and helped establish the foundation for what would become a major technology company. He left CSF after 18 months to form Advantage Financial Limited, pioneering FOREX system development and building a leading Cisco Systems VAR that served global giants including Saatchi & Saatchi, Publicis, and Lowe Lintas, culminating in major deployments like ICO Global's satellite network. After successfully selling Advantage Financial to a US VC in 2000, he continued pioneering emerging technologies. In 2007, he founded VisionRacer VR3, launching in 2009 to create what T3 Magazine called the "Holy Grail of Simulators" and WIRED rated 8/10. The 2010-2011 Christchurch earthquakes affecting his family sparked intensive research that led to foundational novel calculus including the Comfort Index constant—mathematical frameworks that now underpin breakthrough AI systems. This breakthrough thinking flowed into creating New Zealand's first VR resort (EDGE, 2014), earthquake-ready furniture (EQ1), and ultimately the 2024 Unified Theory of Health, Wealth, Connectivity with SHE ZenAI's Q, K & O algorithms. Omega* represents the culmination of this extraordinary 42-year journey—from PC pioneer to serial founder to mathematical innovator to personal super-intelligence." David W Harvey Serial Founder & Chief Innovation Officer, Design By Zen 42 years: PC Pioneer (1982) → Co-founder CSF (1990-91) → Founder Advantage Financial (1991-2000) → VisionRacer VR3 (2007-09) → Mathematical Innovation (2010-11) → AI Breakthrough (2024) Successful exits: CBF (1989), Advantage Financial → US VC (2000) Patents: US, UK, CNNZ | Featured: WIRED, T3 About Design By Zen Company TL; DR Space: 640m2 Studio, Workshop & Business suite with 50Kw/h solar capacity Nearest City Airport: Nelson - NSN, 41.2968° S, 173.2220° E Email: dev@zenig.nz Image source: Nasa view of the top of the South Island, of NZ. 2009 VisionRacer VR3 MkI with PlayStation 3 -installed in 45 countries - © SimRoom a Design By Zen Simulation Brand Better By Design Our value is built on demonstrable heritage, craftsmanship & a passion for excellence. Our hands-on engineering experiences reflect in our designs or productions. Technology now brings ecosystem elements to life that are better by design. Experiences as a passionate owner/driver & builder of sports cars are published in articles & hardback car books . We understand the emotion of driving raw power with no aids. Solo aircraft hours were logged in an antique aircraft that made a Morris Minor look powerful to understand flying. Restoring one of New Zealand's most iconic wooden mansions & research Institutes saved Fellworth House from terminal decline was rewarding. That experience and expertise is a life journey of study. But above all, we present "What You See Is What You Get" following Dieter Ramms philosophy. 1 Good design is innovative 2 Good design makes a product useful 3 Good design is aesthetic 4 Good design makes a product understandable 5 Good design is unobtrusive 6 Good design is honest 7 Good design is long-lasting 8 Good design is thorough down to the last detail 9 Good design is environmentally-friendly 10 Good design is as little design as possible Learn More The EDGE stream, Savill Bay, NZ -we cared for, restored & drank from this water for 16 years. image © David Harvey Green = Actions versus paper promises. DBZ's Commitment: Authentic Environmental Action I grew from seed, planted and nurture an entire native forest over a decade. This offsets the carbon footprint of the entire DBZ ecosystem. Crafting sustainably, ensures that as we progress, we never lose sight of our green roots. Build a Legacy: DBZ's Commitment to Authentic Environmental Action Our native forest project isn't just an initiative; it's our legacy, our contribution to a planet that deserves more. With each year, as our forest grows, its benefits to the Earth multiply, emphasising our role as stewards of nature. Personal Advocacy: Nutrition and Environment DBZ promotes growing your food for personal and environmental benefits. Cultivating food connects us to the land, highlighting the balance between consumption and conservation. Marrying Innovation with Sustainable Design The DBZ ecosystem thrives at the intersection of design and technology. We focus on sustainable crafting while never losing sight of nature. AI, Forna, and Flora are closer than one first associate. Our Back Story Our journey starts by being born into the Jet & Atomic ages of the 1960s. People "dialled" telephones fixed to the wall or on a hall table. Telephones "lines" were sometimes shared and called "party lines". Each party had a ring code. Phone "Booths" were public telephones on every second or third street with Post Boxes for mail. A black & white valve Tv had two government-approved channels commencing broadcast at 3 pm. The local library was the encyclopaedic window to the world -for the town population of 6000. 5km from my town in New Zealand is the birthplace of Lord Rutherford . Lord Rutherford was the first & foremost applied Atomic physicist of the 1800s. Lord Rutherford journeyed from a small shack with twelve siblings to being laid to rest, as a pier, to Sir Issac Newton in Westminster Abby. The great man said, "We had no money, so we had to think." That quote was the ticket to anything being possible (within the laws of physics). My last assignment before leaving NZ was the legal survey & propose site levelling preparations of the earliest "Fox Hill" Rutherford house site. The original Rutherford house was demolished in the 1920s. The site was little more than a small paddock with old stock drinking toughs & a vague outline of old gardens. Learn More Experience builds Expertise Our Back Story The RS423, X.25, Internet, Big Bang, Y2K, Dot.com, Gaming & GFC, 4G, iPhone, Social media, Bitcoin, W3, I was there. From an insatiable curiosity and a lack of money at eight years old, I started building miniaturized "cat whisker" radio sets for primary school kids to rent for two cents. Denied access to read a new book on microprocessors at my workplace, I moved to Australia at 19 years old, just one day after graduating. Personal computers were still a year away, and mainframe computers ruled. It was the Yuppie era, and the mantra was "he who has the most toys wins." Australian industries benefited from processing data, and by 1989, it was time to move to London to network big DEC systems. This coincided with the rise of the public internet over the next five years. A US VC group closed the purchase of the network consulting business on the eve of the Year 2000, allowing me to embark on the next chapter of my life, pursuing luxury lifestyle elements and personal development. We examined hard questions and proposed solutions about life with style and technology in the AI-VR era. CULT Sports Cars A passion for sports cars since childhood lead to the formation of CULT Sports Cars in 2003. We have owned, driven, restored and scratch built some of the most beautiful and exotic cars in history. An example of The CULT Sports car collection is the GT40 X1 "P." This is a reimagined 1965 Ford GT40 . Sporting a hand-built BMW 5 ltr V12 with quad, triple 46 IDA Weber carburettors. The car has been included in the hardback reference book history by noted Porsche authority Adrian Streather . The "X1 P" is a marquee part of the CULT Sports Car collection. The finishing & sale creates project economies. The car has reached a running & driveable state requiring final interior design elements & final build. The select project sponsors will become part of vehicle & digital / NFT history. The other cars are 1968 & 1970 Alfa Romeo GTV 1750, Lola T70's, Datsun 240Z, Fiat 500. Learn More Learn More New Zealands First VR Resort The EDGE Club resort is a virtual resort developed from the actual site data. Now in 2024 persistent reality technology by companies like nVidia make the project a viable reality. I spent 16 years living on & off, planting 40,000 trees & plants from seeds & cuttings. The experience of living remotely with Zen periods is the inspiration to share the experience as a virtual resort. Restoring New Zealand's Research History 2007 Business Review Weekly Top 100 NZ Houses, 2008 NZ House & Garden Magazine feature article. Learn More RMIT University Simulation R & D Suite The Military type suppliers came from a top-down view, "we have it, so it must be best". The (ex DARPA -US Govt., Special Technology Research) RMIT Professor took the view that gaming was providing an expansive, open, well-funded technology base. Given our prestigious client base, global systems experience and ability to innovate we were given the latitude to design the simulation and realtime / real-world interfaces. "SimRoom responded with a world-class system design, in fact, leading edge. Their commitment and attention to detail were nothing less than their reputation suggested. SimRoom promised the RMIT something special. What we have installed is awesome.” Dr. Reece Clothier, Deputy Director, Aerospace Research Centre, RMIT, 2014 Dr. Clothier was the Deputy Director of the Sir Lawrence Wackett Aerospace Research Centre and a Senior Lecturer in the School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Australia. Learn More SimRoom & RiftRoom Design Use Cases Video 2008 - 2014 BY "The holy Grail of race simulators". Where Innovation Meets Opportunity Explore "With a VisionRacer, I could have gone faster!" Lucas Ordonez . Watch his story about the impossible in 2008. "VisionRacer, This Is The Future" “I fell in love with the VisionRacer before it even arrived, and I have never been so satisfied with an entertainment product as I am with this. It's solid and functionally perfect, and it looks amazing too. From the curves, to the chrome finish, it takes a gaming console and turns it into a desirable piece of modern furniture that adds interest to my lounge, but that is just the start. My video racing games are now transformed into a virtual world that I really feel I am in. Total escapism, and total immersion. No wonder they say it is used by real drivers as a training tool. Friends and family are initially intrigued, and then insatiably hooked - it's incredible to watch them sit down, and then become immersed - in seconds. You'll never look at gaming the same way once you've tried it. Paddles and controllers are dead. This is the future.” Jack Mac, NZ - 06 December 2010 Join & build the Universe. Great brands we have worked with. Subscribe today, build knowledge. Enter Your Email Join Thanks for subscribing. We respect your privacy.
- Plans & Pricing | Design By Zen
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- 1.2. Multi-Modal Augmented Knowledge: SHE Zen AI Principles.
Q: What does augmented knowledge do in the context of SHE Zen AI? 1.2. Multi-Modal Augmented Knowledge: SHE Zen AI Principles. Q: What does augmented knowledge do in the context of SHE Zen AI? A multi-modal augmented knowledge system refers to a capability that allows for the processing and understanding of various forms of user communication, including text, voice, and visual cues. This ability enables a more comprehensive and human-like interaction, enhancing the user experience. Previous Next The creation of "SHE ZenAI" © DBZ-David. Enhancing User Experience with Multi-Modal Augmented Knowledge System 31 July 2023 at 11:00:00 pm Author: David W. Harvey - Design By Zen, Publications
- Design By Zen: Terms of Use, Privacy and Rights
Design By Zen's Terms & Conditions to experience with our platform, services, and products. Term & Conditions of Using the Design By Zen site & services. DISCLAIMERS Last updated June 9th, 2024 WEBSITE DISCLAIMER The information provided by VRI (NZ) Ltd t/s Design By Zen ("we," "us", or "our") on http://www.designbyzen.com (the "Site") and our mobile application is for general informational purposes only. All information on the Site and our mobile application is provided in good faith, however we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability or completeness of any information on the Site or our mobile application. UNDER NO CIRCUMSTANCE SHALL WE HAVE ANY LIABILITY TO YOU FOR ANY LOSS OR DAMAGE OF ANY KIND INCURRED AS A RESULT OF THE USE OF THE SITE OR OUR MOBILE APPLICATION OR RELIANCE ON ANY INFORMATION PROVIDED ON THE SITE AND OUR MOBILE APPLICATION. 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The testimonials on the Site are submitted in various forms such as text, audio and/or video, and are reviewed by us before being posted. They appear on the Site as given by the users, except for the correction of grammar or typing errors. Some testimonials may have been shortened for the sake of brevity where the full testimonial contained extraneous information not relevant to the general public. The views and opinions contained in the testimonials belong solely to the individual user and do not reflect our views and opinions. We are not affiliated with users who provide testimonials, and users are not paid or otherwise compensated for their testimonials. User Agreement 1. This User Agreement outlines the terms and conditions of Design By Zen "DBZ" (“the Website”), device application and other associated services (“Our Services”). By continuing to access Our Services, you are indicating acceptance of this User Agreement (“this Agreement”). 2. The website www.designbyzen.com is wholly owned, operated and controlled by VRI (NZ) Limited, trading as Design By Zen known also as "DBZ". 3. References in this Agreement to "Design By Zen "DBZ" ", "we", "our" or "us" are to VRI (NZ) Limited, depending on the context, and references to "you" or "your" are references to the “User” of Our Services, being the person with whom VRI (NZ) Limited enters into this Agreement. 4. By entering this Agreement and using our services, you acknowledge and agree that you have read, understood, and completely accept all of the terms and conditions in this agreement as well as our Privacy Policy in effect, as changeable at our discretion from time to time. 5. You further acknowledge that Design By Zen "DBZ" may amend, modify, add to or delete certain Terms and Conditions in this User Agreement and our Privacy Policy at our discretion. 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- 4.2 The Holistic Objectives in SHE: Expert Guidance.
Q: What Do Holistic Objectives (HO) Mean in the Social Harmony Ecosystem? 4.2 The Holistic Objectives in SHE: Expert Guidance. Q: What Do Holistic Objectives (HO) Mean in the Social Harmony Ecosystem? A: A Deep Dive into Holistic Objectives and Their Importance Holistic Objectives in SHE, such as staying alive, maintaining good health, & converting expenditures into income, form the actionable layer above SHE's ethical backbone—the Heuristic Imperatives. The specific Imperatives are reducing suffering, increasing prosperity, & increase understanding. Together, Heuristic Imperatives (HI) and Holistic (HO) create a robust, self-reinforcing guidance loop that drives decision-making & behaviour within the SHE ecosystem. In a departure from the traditional "man vs. machine" viewpoint, SHE adopts a stakeholder equality approach. This means that all decisions, whether made by humans or AI, are guided by a shared understanding of the HI and HO principles. Our research indicates that adherence to these principles boosts positive outcomes, especially when coupled with real-time Comfort Index (CI) feedback. The Holistic Objectives are designed to be measurable and actionable, offering clear endpoints for each goal. They serve as the 'function values' that guide the system's actions and decision-making processes. Highlighted Points: Heuristic Imperatives (HI): Core principles that include reducing suffering, increasing prosperity, and fostering understanding. Holistic Objectives (HO): Actionable goals such as staying alive, maintaining health, and converting outgoings into income. Comfort Index (CI): A real-time feedback mechanism that enhances alignment and improves outcomes. Note: The objective of 'converting outgoings into income' can manifest in various forms, ranging from meeting daily financial requirements to achieving a balanced lifestyle and even generating income through CI-based micro-transactions. Previous Next The creation of "SHE ZenAI" © DBZ-David. Understanding the Actionable Goals that Drive SHE's AI Systems. 6 September 2023 at 4:00:00 am Author: David W. Harvey - Design By Zen, Publications
- 1.3. A Second Cortex: SHE's Zen Principles for Enhanced Cognition.
Q: What Does "Second Cortex" mean in the context of SHE Zen AI? 1.3. A Second Cortex: SHE's Zen Principles for Enhanced Cognition. Q: What Does "Second Cortex" mean in the context of SHE Zen AI? The personal Social Harmony ecosystem acts as a "Second Cortex". This is by providing an extra layer of cognitive support, much like the human cortex does for higher-order functions. This includes helping users sift through complex information, make informed decisions, and deepen their understanding. In the age of "Instant Knowledge," the Internet has evolved from a mere repository of information to an oracle of expertise. Today we are used to now relying on trusted experts and social influencers to guide their decision-making, shifting away from traditional advertising and more reliant for the last decade on "just "Google it" search methods. In modern decision-making, digital trust security layers have become essential to the trust chain. This includes search engine filters, review services, and personal VPNs that serve as badges of authenticity. As of 2023, the line between human and machine-generated content has blurred. The challenge now is distinguishing the origin and ensuring the content's authenticity and value. Decision-making today is a complex process that occurs at the length of "attention" speed. It involves multiple factors, from verifying authenticity to aligning with personal values, all of which happen almost instantaneously. Today the average American checks their phone 80 times daily, each time engaging in a cognitive process weighing multiple factors. That has a a preload of daily stress - either in not having a response or being prepared to handle and respond to the daily "events". SHEGPT as SHE Zen AI Assistants work around the clock to act as your second cortex, easing your cognitive load. They handle your communications efficiently, allowing you to be more productive while retaining the context of your interactions.The technical term is Retrieval Augmented Generation (RAG) search. Previous Next The creation of "SHE ZenAI" © DBZ-David. Elevating Decision-Making: SHE as Your Cognitive Co-pilot. 31 July 2023 at 11:00:00 pm Author: David W. Harvey - Design By Zen, Publications
- The Design By Zen Forum for SHE ZenAI - Personalized AI, Ethical AI.
The Home of SHE ZenAI is ethical AI, personalized AI with the benefit of the Comfort Index, ensuring data privacy & security in the AI era. To see this working, head to your live site. Categories All Posts My Posts Design By Zen Forum Join the discussions around lifestyle technology, SHE ZenAI & the designer AI integrator journey. Create New Post SHE ZenAI General Discussions Use Cases, knowledge base, and developments around SHE ZenAI & fusions. subcategory-list-item.views subcategory-list-item.posts 7 Follow SHE ZenAI Questions & Answers Our shared knowledge base around SHEGPT & the Fusion with the EQ1 Earthquake Proof Table. subcategory-list-item.views subcategory-list-item.posts 2 Follow The SandBox Welcome! Have a look around and join the conversations. subcategory-list-item.views subcategory-list-item.posts 0 Follow New Posts David Harvey Jun 23, 2024 An Essay on the Innovation Revolution SHE ZenAI General Discussions AI, Human Expertise, and the Theory to Demonstrated Results. Introduction AI, a Catalyst for Innovation: we are currently in the midst of a profound shift in the innovation landscape, a transformation largely driven by the power of AI. This technology, with its ability to process vast amounts of information, generate ideas, and solve problems at unprecedented speeds, is reshaping the way we innovate. This transformation is not merely changing how we innovate; it fundamentally challenges our understanding of expertise, the value of traditional credentials, and how we validate new ideas. The New Innovation Landscape The Democratisation of Tools and Knowledge The rise of open-source projects, cloud computing, and AI tools created a more level playing field. Individuals and small teams can now compete with established players, and they can experience the excitement of accessing resources once exclusive to well-funded "walled and moated" institutions. Example: In 2019, a small team from DeepMind developed AlphaFold, solving the 50-year-old protein folding problem. Similarly, Omega*'s open-source components (like Hospital AI simulacra) and the DBZ Comfort Index (CI) enable a global community to contribute to its development. We apply this object-oriented process to quantum outward computing optimisation and complex systems modelling. This democratisation fosters an environment where innovation is accessible and accelerated by collective expertise. AI as an Innovation Catalyst AI's Impact on Innovation: AI has emerged as a powerful force multiplier for innovation. Its ability to process vast amounts of information, generate ideas, and solve problems at unprecedented speeds is evident in recent benchmarks. These benchmarks provide compelling evidence of AI's role in accelerating the innovation process. GPT-4 vs. Human Tests (May 2023) Detailed comparison showing GPT -4's performance in various tests compared to human averages, highlighting the breadth of AI capabilities across different domains. Comparison Aspect, Benchmark AI Model Performance and Human Performance Difference Implications Surpassing Human Experts MMLU Claude 3.5 Sonnet: 90.4 Human Expert: 89.8 +0.6 (0.67%) AI models now exceed human expert performance in complex tasks. Wide Performance Gap GPQA Claude 3 Opus: 59.5 PhD Holder: 34.0 +25.5 (75%) AI demonstrates a significant advantage in problem-solving abilities. Consistency Across Tasks Multiple Benchmarks Top AI Models: 85-90+ Various Human Experts: 30-50 Up to 60 points (120%) AI consistently performs consistently across varied cognitive tasks. Rapid AI Advancement Development Timeline Multiple AI Models Exceeding Human Traditional Human Training N/A AI models are developed and iterated rapidly, outpacing the slower traditional human expertise development. These results show that AI models match and surpass human expert performance in various cognitive tasks. This positions AI as a pivotal player in the innovation ecosystem, enabling breakthroughs at speeds and scales previously unimaginable. The Challenge to Traditional Timelines The traditional multi-year PhD process and academic timelines need to be in sync with the rapid pace of technological advancement. For instance, mapping the Human Genome can now be accomplished in weeks or months thanks to significant AI and software development using AI innovations, rather than taking years. The evidence clearly shows that a BSc student does not need to spend five years completing just one Protein fold map during a PhD program following a Master's degree. Case Study: OpenAI's DALL-E 2, a text-to-image AI model, took approximately nine months from concept to public release. From the breakthrough date of the 26th of November 2023 with our implementation of Q* lead to the supporting function requirements of K* Knowledge and O* the Observation function from calculus to code in four month. Integrating the Rutherford Quantum Constant (RQC) into Omega* took only two months, significantly enhancing its quantum computing capabilities. These rapid timelines starkly contrast with traditional research cycles, often spanning several years, highlighting the need for faster, more agile approaches in today's innovation landscape. LLMs: Smarter Than We Think (Jan 2024) Source LifeArchitects: Progression of AI models' scores over time, showing rapid improvement and surpassing human averages in various benchmarks. The Human Factor: Bias and Resistance Personal Motivations and Conflicts of Interest Venture capitalists, academics with patent portfolios, and established tech companies often have vested interests that can influence their evaluation of new technologies. Resistance against genuinely disruptive innovations challenging the status quo has shareholders to appease—moving the status quo goes hand in hand with the term moving at "glacial speed." Example: Omega* has to demonstrate its ability to solve NP-hard problems more efficiently than established algorithms. It has to face scepticism from academic institutions with investments in traditional methods. Omega* will overcome this by providing verifiable, reproducible results through Wolfram Alpha procedural code. Although not open source the objective is to set a standard for transparency and challenge entrenched biases in AI development. The Dunning-Kruger Effect, Expert Bias and affects of PhD "Publish or Perish" Culture Comparing the Affects of Dunning Kruger vs PhD "Publish or Perish" vs. Research Integrity vs. AI Accusations of the Dunning-Kruger effect are sometimes used to dismiss novel ideas. However, this can also be a defence mechanism employed by established experts who feel threatened by paradigm-shifting concepts. Understandable when your world focuses around the formalisation under an academic regime. Dunning Kruger Affect v.s Gartner Hype Cycle vs. PhD hype cycle vs. AI.png Historical Parallel: When Alfred Wegener proposed the theory of continental drift in 1912, the geological establishment dismissed him. It took decades to accept plate tectonics, demonstrating how expert bias can hinder revolutionary ideas. The recent AI benchmark results compel us to reconsider our notions of expertise and the value of traditional credentials in light of demonstrable AI capabilities. Chatbot vs Doctor: Quality and Empathy Ratings Comparison of quality and empathy ratings for chatbot and physician responses, showing significant advantages for AI in both areas. AI vs. Human Evaluation: A Data-Driven Comparison The benchmark data reveals significant discrepancies between AI and human expert performance: 1. Surpassing Human Experts: • Benchmark: Massive Multi-task Language Understanding (MMLU) • AI Model Performance: Claude 3.5 Sonnet achieved a score of 90.4. • Human Performance: Human experts scored 89.8. • Difference: +0.6 points (0.67% higher for AI) • Implications: AI models have reached a point where they can outperform human experts even in sophisticated cognitive tasks, demonstrating their potential as equal or superior collaborators in innovation. 2. Wide Performance Gap: • Benchmark: General Problem Solving and Question Answering (GPQA) • AI Model Performance: Claude 3 Opus scored 59.5. • Human Performance: A PhD holder scored 34.0. • Difference: +25.5 points (75% higher for AI) • Implications: The large gap between AI performance and PhD holders underscores the profound impact of AI in problem-solving domains, where AI's ability to process and analyse information rapidly provides a distinct advantage. 3. Consistency Across Tasks: • Benchmark: Various Cognitive Tasks and Benchmarks • AI Model Performance: Top AI models consistently score between 85-90+. • Human Performance: Human experts score between 30-50 depending on the task. • Difference: Up to 60 points (120% higher for AI) • Implications: AI models exhibit exceptional versatility, consistently ranking at the top across different cognitive benchmarks. This consistency highlights AI's broad applicability and ability to handle diverse tasks efficiently. 4. Rapid AI Advancement: • Development Timeline: AI models like Claude and GPT-4 have been iteratively developed in a matter of months. • Human Expertise Development: Traditional academic and training paths for achieving similar levels of expertise take years, such as the multi-year PhD process. • Implications: AI models' rapid development and iteration contrast sharply with human expertise's slower, traditional development. This acceleration in AI capabilities necessitates reevaluating how we perceive and leverage expertise in innovation. GPT-4 vs. Human Tests September 2023 GPT-4's superior performance in soft skills compared to Humans. The Power of Demonstrated Results In this complex landscape of rapid innovation, personal biases, and institutional resistance, empirical evidence and demonstrated results emerge as the ultimate arbiters of value. Working Code as Proof of Concept Just as Ernest Rutherford revolutionised our understanding of atomic structure through experimental evidence, today's innovators can leverage working code and tangible outputs as proof of concept. Case Study: When Satoshi Nakamoto introduced Bitcoin in 2008, the working code accompanying the whitepaper was crucial in demonstrating the feasibility of a decentralised digital currency. Similarly, AI benchmark results provide irrefutable evidence of their capabilities, challenging traditional notions of expertise and innovation. Why Demonstrated Results Matter • Tangible Outcomes: Working solutions and benchmark results provide measurable, verifiable evidence of capabilities. • Rapid Iteration: Functional prototypes and AI models allow quick refinement and improvement. • Real-world Application: Demonstrated results bridge the gap between theory and practice. • Overcoming Bias: Functional solutions and benchmark performances can overcome personal biases by demonstrating value regardless of origin. • Accessible Validation: A global community of peers can share, validate, and build upon demonstrated results. Navigating the New Paradigm Frontier innovation, is exemplified by systems like Omega* and the impressive performance of AI models. But we must challenge our assumptions and embrace new validation methods: 1. Embrace Hybrid Evaluation: Combine AI-driven analysis with human expertise for comprehensive evaluation, recognising the strengths of both. 2. Value Demonstrated Results: Prioritise working prototypes, empirical evidence, and benchmark performances over theoretical arguments or traditional credentials. 3. Foster Interdisciplinary Collaboration: Encourage cross-pollination of ideas across different fields, leveraging AI's broad knowledge base alongside human specialisation. 4. Recognise and Mitigate Biases: Be aware of personal and institutional biases that might hinder recognising genuinely innovative ideas or capabilities. 5. Adapt Evaluation Timelines: Align assessment processes with the rapid pace of modern innovation and AI development. 6. Encourage Responsible Innovation: Balance rapid development and AI deployment with careful consideration of ethical implications and long-term impacts. Conclusion The future of innovation lies not in clinging to traditional timelines, institutional authority, or outdated notions of expertise but in our ability to rapidly prototype, test, and refine ideas in the real world. The benchmark data clearly shows that AI models are theoretical constructs and practical tools capable of matching and exceeding human expert performance in complex cognitive tasks. Fostering an environment that values empirical evidence over established hierarchies can create a more dynamic, inclusive, and practical innovation ecosystem. The most successful innovators will be those who can navigate the complex interplay of AI augmentation and human creativity. Again, this process will be about demonstrating the value of their ideas through tangible results. Having a baseline will overcome scepticism, and the power of working solutions seems logical. As we propose and embrace this new paradigm, we open ourselves to possibilities where groundbreaking innovations can come from unexpected sources. Ideas are judged on their merits rather than their pedigree. Feasibility, Viability, and Desirability are either friction points or easily interchangeable when any proposition is tabled. These fundamental elements determine the delivery pace and level of experience. The innovation revolution is here. AI LLM models are "facilities" past tools. Systems like Omega* were designed openly to this potential by augmenting LLM as model-less instructors. The question is not whether we will participate but how quickly we can adapt to and shape this new reality. The future belongs to those who can envision and demonstrate it, leveraging the power of AI while complementing it with uniquely human insights and ethical considerations. Like 0 comments 0 David Harvey Jun 02, 2024 Design By Zen SHE ZenAI Omega* Explainer using Wolfram Alpha's Quantum Mechanics References SHE ZenAI Questions & Answers The following is the Wolfram Alpha description of Quantum Mechanics. It is presented as a step-by-step explanation document, section by section, with SHE ZenAI Omega* explainer sections. [Source: Wolfram Alfa, 2024]: Quote: To continue understanding how our models might relate to quantum mechanics, it is useful to describe a little more of the potential correspondence with standard quantum formalism. We consider quite directly—each state in the multiway system as some quantum basis state |S>. DBZ Explanation: In Omega*, the multiway system represents all possible states and their evolutions, similar to the basis states in quantum mechanics. Each state |S> corresponds to a potential configuration of data or a scenario within Omega*'s computational framework. This foundational analogy enables the system to efficiently handle complex data states and transitions. An important feature of quantum states is the phenomenon of entanglement—which is effectively a phenomenon of connection or correlation between states. In our setup (as we will see more formally soon), entanglement is basically a reflection of common ancestry of states in the multiway graph. (“Interference” can then be seen as a reflection of merging—and therefore common successors—in the multiway graph.) DBZ Explanation: Entanglement in Omega* represents the connections between different states, showing how changes in one part of the system can impact others. This reflects the real-world interconnected data points and their correlations, which are important for accurate predictive modelling and simulation." Lets consider the following multiway graph for a string substitution system: Each pair of states generated by a branching in this graph is considered to be entangled. And when the graph is viewed as defining a rewrite system, these pairs of states can also be said to form a branch pair. DBZ Explainer: In Omega*, multiway graphs show how states change through different operations and transformations. Each pair of branches represents the different outcomes from a single state, similar to different decision paths or computational results. This setup enables Omega* to simulate and assess multiple scenarios simultaneously. Given a particular foliation of the multiway graph, we can now capture the entanglement of states in each slice of the foliation by forming a branchial graph in which we connect the states in each branch pair. For the string substitution system above, the sequence of branchial graphs is then: In physical terms, the nodes of the branchial graph are quantum states, and the graph itself forms a kind of map of entanglements between states. In general terms, we expect states that are closer on the branchial graph to be more correlated, and have more entanglement, than ones further away. Explanation: The concept of branchial space in Omega* helps us visualise the relationships between different data states. States that are closer on this graph are more likely to influence each other. This helps Omega* optimise its data processing by focusing on closely related states, which improves efficiency and accuracy. As we discussed in 5.17, the geometry of branchial space is not expected to be like the geometry of ordinary space. For example, it will not typically correspond to a finite-dimensional manifold. We can still think of it as a space of some kind that is reached in the limit of a sufficiently large multiway system, with a sufficiently large number of states. And in particular we can imagine—for any given foliation—defining coordinates of some kind on it, that we will denote (ξ, b). So this means that within a foliation, any state that appears in the multiway system can be assigned a position (t, b) in “multiway space”. Edit: Here's the explanation of the symbols: • ξ (xi): Represents some kind of coordinate. • b: Represents a position in multiway space. • t: Represents time. • (ξ, b): A coordinate pair in branchial space. • (t, b): A coordinate pair in multiway space. Explanation: Omega* utilises this concept to handle high-dimensional data spaces that do not adhere to traditional geometries. The coordinates (ξ, b) represent intricate data points in this space, enabling Omega* to efficiently map and navigate vast amounts of data. In the standard formalism of quantum mechanics, states are thought of as vectors in a Hilbert space, and now these vectors can be made explicit as corresponding to positions in multiway space. But now there is an additional issue. The multiway system should represent not just all possible states, but also all possible paths leading to states. And this means that we must assign to states a weight that reflects the number of possible paths that can lead to them: Let us say that we want to track what happens to some part of this branchlike hypersurface. Each state undergoes updating events that are represented by edges in the multiway graph. And in general the paths followed in the multiway graph can be thought of as geodesics in multiway space. And to determine what happens to some part of the branchlike hypersurface, we must then follow a bundle of geodesics. Explanation: Tracking paths (geodesics) in multiway space allows Omega* to understand the progression of data states over time. This is crucial for predicting future states and optimising decision-making processes by following these paths and understanding their trajectories. A notable feature of the multiway graph is the presence of branching and merging, and this will cause our bundle of geodesics to diverge and converge. Often in standard quantum formalism we are interested in the projection of one quantum state on another < | >. In our setup, the only truly meaningful computation is of the propagation of a geodesic bundle. But as an approximation to this that should be satisfactory in an appropriate limit, we can use distance between states in multiway space, and computing this in terms of the vectors ξi=(ti,bi) the expected Hilbert space norm [122][123] appears ∣∣ξ1−ξ2∣∣2=∣∣ξ1∣∣2+∣∣ξ2∣∣2−2ξ1⋅ξ2 Edit: Here's the explanation of the symbols: • ξi=(ti,bi): Represents the vector ξiξ_iξi with components tit_iti (time) and bib_ibi (position in multiway space). • ∣∣ξ1−ξ2∣∣2=∣∣ξ1∣∣2+∣∣ξ2∣∣2−2ξ1⋅ξ2|| ξ_1 - ξ_2 ||^2 = || ξ_1 ||^2 + || ξ_2 ||^2 - 2 ξ_1 · ξ_2∣∣ξ1−ξ2∣∣2=∣∣ξ1∣∣2+∣∣ξ2∣∣2−2ξ1⋅ξ2: Represents the squared distance between two vectors ξ1ξ_1ξ1 and ξ2ξ_2ξ2 in Hilbert space. • ξ1⋅ξ2ξ_1 · ξ_2ξ1⋅ξ2: Represents the dot product of the vectors ξ1ξ_1ξ1 and ξ2ξ_2ξ2. Explanation: This approximation enables Omega* to calculate distances between different data states, allowing the system to assess the similarities and differences between scenarios. This capability is crucial for clustering, classification, and predicting the outcome of various interventions or changes. Time evolution in our system is effectively the propagation of geodesics through the multiway graph. And to work out a transition amplitude between initial and final states we need to see what happens to a bundle of geodesics that correspond to the initial state as they propagate through the multiway graph. And in particular we want to know the measure (or essentially cross-sectional area) of the geodesic bundle when it intersects the branchlike hypersurface defined by a certain quantum observation frame to detect the final state. Explanation: Time evolution in Omega* involves understanding how data states change over time, similar to geodesic propagation. By calculating transition amplitudes between states, Omega* can predict future states and outcomes, enabling proactive decision-making and optimisation. To analyze this, consider a single path in the multiway system, corresponding to a single geodesic. The critical observation is that this path is effectively “turned” in multiway space every time a branching event occurs, essentially just like in the simple example below: If we think of the turns as being through an angle θ, the way the trajectory projects onto the final branchlike hypersurface can then be represented by ei θ. But to work out the angle θ for a given path, we need to know how much branching there will be in the region of the multiway graph through which it passes. But now recall that in discussing spacetime we identified the flux of edges through spacelike hypersurfaces in the causal graph as potentially corresponding to energy. The spacetime causal graph, however, is just a projection of the full multiway causal graph, in which branchlike directions have been reduced out. (In a causal invariant system, it does not matter what “direction” this projection is done in; the reduced causal graph is always the same.) But now suppose that in the full multiway causal graph, the flux of edges across spacelike hypersurfaces can still be considered to correspond to energy. Explanation: This analogy illustrates Omega*'s capability to manage intricate data transformations and interactions. By likening data flow (flux) to energy, Omega* can utilize quantum principles to enhance computational efficiency and resource allocation. Now note that every node in the multiway causal graph represents some event in the multiway graph. But events are what produce branching—and “turns”—of paths in the multiway graph. So what this suggests is that the amount of turning of a path in the multiway graph should be proportional to energy, multiplied by the number of steps, or effectively the time. In standard quantum formalism, energy is identified with the Hamiltonian H, so what this says is that in our models, we can expect transition amplitudes to have the basic form ei H t—in agreement with the result from quantum mechanics. To think about this in more detail, we need not just a single energy quantity—corresponding to an overall rate of events—but rather we want a local measure of event rate as a function of location in multiway space. In addition, if we want to compute in a relativistically invariant way, we do not just want the flux of causal edges through spacelike hypersurfaces in some specific foliation. But now we can make a potential identification with standard quantum formalism: we suppose that the Lagrangian density ℒ corresponds to the total flux in all directions (or, in other words, the divergence) of causal edges at each point in multiway space. Explanation: Omega* can utilise the concept of Lagrangian density to evaluate local event rates and optimise resource usage dynamically. This enhances its ability to provide real-time insights and adjustments based on evolving data conditions. But now consider a path in the multiway system going through multiway space. To know how much “turning” to expect in the path, we need in effect to integrate the Lagrangian density along the path (together with the appropriate volume element). And this will give us something of the form ei S, where S is the action. But this is exactly what we see in the standard path integral formulation of quantum mechanics [124]. There are many additional details (see [121]). But the correspondence between our models and the results of standard quantum formalism is notable. It is worth pointing out that in our models, something like the Lagrangian is ultimately not something that is just inserted from the outside; instead it must emerge from actual rules operating on hypergraphs. In the standard formalism of quantum field theory, the Lagrangian is stated in terms of quantum field operators. And the implication is therefore that the structure of the Lagrangian must somehow emerge as a kind of limit of the underlying discrete system, perhaps a bit like how fluid mechanics can emerge from discrete underlying molecular dynamics (or cellular automata) [110]. One notable feature of standard quantum formalism is the appearance of complex numbers for amplitudes. Here the core concept is the turning of a path in multiway space; the complex numbers arise only as a convenient way to represent the path and understand its projections. But there is an additional way complex numbers can arise. Imagine that we want to put a metric on the full (t, x, b) space of the multiway causal graph. The normal convention (for t,x) space is to have real-number coordinates and a norm based on t2 – x2—but an alternative is use i t for time. In extending to (t, x ,b) space, one might imagine that a natural norm which allows the contributions of t, x and b components to be appropriately distinguished would bet^2 − x^2 + i b^2. [endquote] Edit: Here's the explanation of the symbols: • (t, x, b): Represents the full space with time (t), spatial coordinates (x), and branchial coordinates (b). • (t, x): Represents a space with time (t) and spatial coordinates (x). • t^2 − x^2: Represents the norm based on time squared minus spatial coordinates squared. • i t: Represents the imaginary unit (i) multiplied by time (t). • t^2 − x^2 + i b^2: Represents the natural norm with time squared, spatial coordinates squared, and the imaginary unit multiplied by branchial coordinates squared. Explanation: Omega* can use complex numbers to model intricate data relationships and transformations. By defining a natural norm that incorporates time, space, and branchial coordinates, Omega* can efficiently manage and analyse multi-dimensional data, enhancing its predictive accuracy. References: https://www.wolframalpha.com/ https://www.designbyzen.com/forum Like 0 comments 0 David Harvey May 13, 2024 What is Q* and Q-learning? What is its relationship to DBZ Q* and Comparisons? SHE ZenAI General Discussions Q-learning is a popular reinforcement learning technique used in modern AI systems. It operates on a trial-and-error approach where an AI agent learns to optimize its actions in a particular environment to maximize long-term rewards. The diagram shows the environmental cycle, which demonstrates how the input is processed into a result and then loops back to input range. State Reward Agent Action Environment Q-learning sample cycle. Think of the AI agent as a decision-maker that navigates a complex landscape, where each action has a potential positive or negative outcome. The techniques logic drives the gaming world and the behaviour of autonomous agents with Humans in the loop augmenting decisions for rewards. So a reward could be a token or a larger reward such as a new level. Q-learning provides a framework for the AI to evaluate its choices and refine its strategy over time. The results leading to more informed and impactful decisions with experience. This self-learning Operand ability has broad applications. Think of this as the Operations procedures manual with a team reading and refining then sending forward to update and being paid. If generalised it would be the "Department of Quality Assurance & Improvement" for streamlining business operations to creating personalized customer experiences. Operands are terms or expressions used in algebra, arithmetic, or other mathematical operations. It can be a single number, variable, or more complex expression. Operands are typically specified in the order in which they are to be performed on, following the rules of the specific operation being performed. Operands can be used in a variety of mathematical contexts, such as calculating the result of a function or solving an equation. Pro's: • Makes Operands faster. • Provides a Before the Operand was applied and After "State" once a cycle is completed • Can be applied as an Inline Process or a Call. Con's: • However, Q-learning focuses on maximizing rewards without necessarily considering broader ethical impacts. • Compute Hungry • Added Complexity Whats a real world or better still a Historical Use Case of Q-learning? Q-learning has been applied as a natural improvement within large language model methods. For example, OpenAI's sample open-source model from 2018 utilizes Q-learning. A comparison shows the differences between a large language model example (GPT-1?) architecture and a the DBZ model-less version. This sample architecture used a Gaming output to evaluate coherence results (the stickman picked his game from being drunk to in control). LLM Q-learning in OpenAI example versus DBZ Q* After authoring the SHE Zen AI Q* algorithm refinement lead to questions about how do llms use Q-learning? This table compares that 2018 sample LLM schema techniques to show differences. Both enhance performance depending on how the functions are applied. SHE ZenAI addresses the Con's by directly integrating ethical considerations and human well-being into its decision Q-learning. So a function path going beyond traditional Q-learning methods. Unlike the llm approach, which often places ethical considerations as afterthoughts or additional layers, SHE ZenAI considers ethics and human welfare as part of its core decision-making process. References : 1. Design By Zen [SHE is Zen AI] 2. Towards Characterizing Divergence in Deep Q-Learning [Joshua Achiam 1 2 Ethan Knight 1 3 Pieter Abbeel 2 4] 21-03-20 ______________________________________________ Like 0 comments 0 Forum - Frameless
- 3.4 Building Digital Trust: The Social Harmony's Expert Guidance.
Q: How does SHE Zen AI build digital trust? 3.4 Building Digital Trust: The Social Harmony's Expert Guidance. Q: How does SHE Zen AI build digital trust? A: SHE builds digital trust through its Local Authority Weight feature. This feature ensures the authenticity & quality of provenance, fostering trust in the system. Previous Next The creation of "SHE ZenAI" © DBZ-David. Ensuring Authenticity & Quality of Provenance Fosters Trust in the system. 7 September 2023 at 12:00:00 am Author: David W. Harvey - Design By Zen, Publications







