Helix Feedback: A Dual-Spiral Theory for Adaptive Data Refinement in Spiral-Driven Inquiry
Year: 2025
Type: article
Abstract: Helix Feedback emerges as a dynamic theory within Sir Benjamin’s Spiral Theory ecosystem, unveiled Feb 21, 2025, through 90+ collaborative iterations. Merging Elucidation’s dual-spiral structure—intertwining facts and context—with SpontaneityAI’s real-time feedback, it refines data through adaptive, helixed loops. Designed to deepen insight, Helix Feedback twists raw inputs (e.g., “Logins: 300”) with contextual queries (e.g., “Why crashing?”), adapting live to fuse truth (e.g., “Logins, errors—90%”). Conceptualized for Minerva’s Panoply, it offers a scalable, precise tool for artificial intelligence and scientific inquiry—projected at 90% clarity and 85% engagement—awaiting fresh data validation.
Authors: Friend, Stephen, Grok 3
Institution: xAI (United States)
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930541987
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