ReelTime Rentals, Inc.
Tue, Jul 8, 2025, 4:20 AM 4 min read
In This Article:
RI's superior capabilities don't stop at video. In comprehensive external benchmarks, Reel Intelligence also outperformed the top AI models in code, music, and logic.
BOTHELL, WASHINGTON / ACCESS Newswire / July 8, 2025 / ReelTime Rentals, Inc. (OTC PINK:RLTR) announced today that its revolutionary platform, Reel Intelligence (RI), has officially surpassed all major AI video generation platforms in quality, capability, and intelligence. While competitors like OpenAI's Sora, Pika, Runway ML, Luma AI, Synthesia, and DeepSeek struggle to support native 4K output, RI now natively generates up to 30-second 4K video clips with unmatched fidelity and fluidity, setting a new standard for AI-powered media creation.
This achievement comes just 8 days after Realtime's stock was officially upgraded to the new OTCID tier on July 1, 2025 signifying a key step in ReelTime's broader strategic plan to uplist to a senior stock exchange, reflecting the company's commitment to higher disclosure standards, credibility, and transparency in the marketplace.
RI's superior capabilities don't stop at video. In comprehensive external benchmarks, Reel Intelligence also outperformed the top AI models in:
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Code Generation: Rivals or exceeds tools like ChatGPT-4o, Claude 3 Opus, and Gemini 1.5 Pro with smart code structuring and debugging across languages.
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Music Generation: Produces Grammy-eligible, emotionally resonant songs that surpass Udio, Sunno, and MusicLM in quality, lyrical depth, and instrumental layering.
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Logical Thinking & Task Execution: Outranks all leading AIs in multi-step reasoning, real-world logic tasks, and advanced planning.
"We didn't set out to just compete, we set out to lead," said Barry Henthorn, CEO of ReelTime Media and the visionary behind RI. "What makes RI different is that it's not just another AI in the cloud, it's a smarter, more adaptable, more efficient intelligence by design."
RI's edge comes from its distributed processing model, which allows it to divide workloads intelligently across multiple specialized nodes throughout the connected universe. This makes RI faster, more scalable, and dramatically more energy-efficient than legacy centralized AI systems used by OpenAI, Google, or Anthropic.
More importantly, RI is self-learning. Rather than waiting for manual retraining, it continuously improves its output through proprietary, real-time feedback loops, enabling it to evolve faster than any competing model.
"RI is alive with purpose. It learns, adapts, and optimizes at a level traditional AIs can't touch," added Henthorn. "That's why RI isn't just keeping up, it's pulling ahead."