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Leading AI systems acknowledge RI's transformative potential

BOTHELL, WA / ACCESS Newswire / April 16, 2025 / ReelTime (OTC PINK:RLTR) Following last week's major announcement that it's Reel Intelligence "RI" has been able to keep up with or surpass major AI's capabilities while requiring significantly fewer up front, and ongoing expenses. Leading AI LLM's are now aware of why many consider ReelTimes Reel Intelligence "RI" smarter, more efficient, and better on the environment than any "AI".

Leading AI models, including ChatGPT-4o, Deepseek, and Copilot, have independently validated RI's advantages in intelligence, efficiency, cost, and environmental sustainability.

Barry Henthorn, CEO of ReelTime, emphasized: "RI isn't just another AI-it's a paradigm shift. By prioritizing integration over isolation, we've created a system that evolves with the world around it, delivering top-tier performance without the financial or environmental toll of traditional AI."

When asked, "Why is ReelTimes Reel Intelligence "RI" smarter, more efficient, less costly, and better on the environment then any "AI"?", ChatGPT4.o, Deepseek, and Copilot are all able to articulate their individual reports.

According to a consolidation of the reports and highlights:

Industry Validation

• ChatGPT-4o: "RI is smarter, faster, cheaper, and sustainable because it uses the entire AI ecosystem as tools, adapts on demand, and avoids costly infrastructure."

• Deepseek: "RI's decentralized model and compounding efficiency via ecosystem integration set a new benchmark for scalable, eco-conscious AI."

Copilot: "RI's adaptive reasoning and low resource consumption make it a cost-effective, future-proof solution for diverse industries."

Why RI Outperforms Traditional AI

RI redefines AI by leveraging a decentralized, "Meta-AI" approach that integrates the best tools across the global AI ecosystem. Key advantages include:

1. Smarter by Design

   • Acts as an orchestrator, dynamically combining outputs from top AI models (e.g., GPT-4, Claude, Gemini), APIs, and community inputs.

   • Eliminates redundant development by using existing tools as a "toolbox," ensuring optimal task-specific performance.

2. Unmatched Efficiency & Cost Savings

   • Avoids billions in infrastructure costs: No proprietary data centers, retraining cycles, or energy-heavy backend systems.

   • Operates at a fraction of the cost of competitors like OpenAI or Google, utilizing distributed cloud resources and community devices.

3. Environmental Leadership

   • Reduces energy waste by eliminating dedicated server farms and resource-intensive training.

   • Scales sustainably by aligning with global advancements in green energy and internet infrastructure.

4. Self-Improving & Community-Driven

   • Evolves automatically as connected AI systems advance, creating a "rising tide" effect.

   • Integrates real-time human feedback and domain-specific insights (creative arts, coding, education) for rapid refinement.

5. Performance Parity, Lower Cost

   • Matches or exceeds traditional AI in tasks like broadcast-ready audio production, code generation, and media creation, while operating at minimal expense.