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AI Advance 2: AI Data Sources and Lifecycle

Real-Time Private Data Funnels Produce Universal Self-Improving Personal Growth

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AI Data Issues: Lack of high quality data to train AI's leads to poor data and model collapse.

AI Pain Point:

Now that the world's high-quality data has been used to train AI's, massive quantities of new training data doesn't exist. Using AI-generated Internet content for AI training degrades AI quality and causes model collapse. AI scientists can't explain how LLM's work, so they don't know how to solve AI's data problem.

Data Lifecycle: Continuous improvement of AI assistance impacts through real-world interactions

Expandiverse IP Advance:

Expandiverse IP's data lifecycle drives continuous improvement in AI assistance by using real-world interactions through 'quantitative funnels.' These funnels refine AI content, user support, and solutions, delivering personalized, evolving assistance that enhances user experiences and results.

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Innovative "Active Guide" Funnel System produces proven solutions for individual excellence with real-time, low-cost delivery.
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Continuous "Assembly Layer" AI improvements from user interactions. AI solutions continuously improve, driving efficiency and growth

The Big Idea:

Expandiverse IP "Active Knowledge" continuously enhances the content and choices that AI presents privately across user devices, learns from potentially billions of daily interactions, and shows each user their individual progress and gaps so they can expand their control and progression.

How does It Work? Expandiverse IP’s quantitative funnels enhance each user privately and enhance AI training with anonymous data from real interactions. It continuously improves content and choices that are proven to enhance user goals, increasing real-time personalization, growth, and speed.

What’s the Difference? This approach employs low-cost computing lookups of proven “best solutions” instead of generating new unpredictable AI responses. This personalizes AI accuracy, delivers it across devices, and accelerates its real-time speed — growing its safety, satisfaction, and engagement.

Aligns AI solutions with users’ goals, ensuring personalization and improving outcomes. AI costs are reduced from less reliance on data centers and increasing on-device processing.

aI's next level:

Here’s how Active Knowledge drives real-time insights and user empowerment:

  • User Goals Automation: Aligns AI solutions with users’ goals, ensuring personalization and improving outcomes.
  • Real-Time Data Insights: AI learns from real-world user interactions to increase safety by producing continuous improvements. Users learn their achievements and gaps privately, enhancing engagement, gamification, and mastery.
  • Cost Reduction: Reduces reliance on data centers by increasing and optimizing on-device processing, increasing privacy while reducing environmental impact.
  • Competitive Moat: User privacy blocks surveillance platforms and competitors while growing user commitments, delivering visible achievements, and accelerating user control.

The Big Picture: Expandiverse IP transforms AI into a scalable people-directed platform, driving personal and global growth.

Monetization:

Struggling with unreliable AI data? Expandiverse IP’s data lifecycle turns this problem into new revenue streams for private markets by aligning AI solutions with users’ personal goals, to turn goals into transactions:

  • Data-Driven Revenues: With a continuous improvement loop for AI solutions driven by user interactions, increasingly accurate and effective solutions grow transactions from people’s wants in responsive AI-enabled private markets.
  • Market-Leading Data Insights: Expandiverse IP learning provides solution vendors with insights derived anonymously from goals-focused users, enhancing these vendors’ competitive offerings and relationships.
  • Personalized AI Solutions: These tailored AI solutions and services adapt to user desires, providing higher satisfaction, engagement, and retention.
  • AI-Powered Innovating: Expandiverse IP data funnels reveal gaps that accelerate and focus innovations, evolving products and services to fit today's rapid changes in user needs.
Continuous improvement loop for AI solutions: Driven by private user interactions. Deeper connections between people’s wants and solutions presented
Inclusive personal growth for all drives sustainable private markets at world scale

Scenarios:

Explore the potential of this real-world data lifecycle on the climate crisis:

  • User Scenario: Millions who experience environmental disasters add the goal of sustainable food and switch to eco-friendly grocery products. On seeing their personal and collective impact, they share it on social media for others to adopt this goal in a few clicks and help stop environmental disasters.
  • Business Scenario: Processed food companies track sustainability goals and the speed of their collective market impacts, prioritizing the right sustainable features to stay in front of consumer trends and grow their market share.
  • Global Scenario: Industry leaders see the growing sustainability competition and its impact on market shares, prompting major industry shifts toward more sustainable products, and major business shifts toward a more sustainable global food system.

The Bottom Line: 

Integrating Expandiverse IP enables AI providers to solve data challenges and reduce AI costs, by helping lift billions daily through low-cost real-time solution lookups — kick-starting a Global AI Renaissance.

Connect with us today to explore how Expandiverse IP can transform AI data challenges into new revenue streams with global opportunities.

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The People-Decided AI Solutions Economy: Enable direct, personalized AI solutions to drive global growth. Deliver real-time "next best steps" to billions daily so everyone knows how to rise to the top.

For more on the Expandiverse IP quantitative process, see the AI Revenues Funnel Metrics page.

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Accelerate Personal Growth

Dan Abelow,
Expandiverse Innovator and Founder

3-minute Bio: Click to view full size

 

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