Maxtoken: A Unified Framework for Unbounded AI Output
The article introduces MAXTOKEN, a new framework designed to enhance the capabilities of large language models (LLMs) in generating unbounded outputs. It addresses the limitations of current models, such as token caps and attention complexity, by implementing a multi-layered architecture. The framework aims to improve coherence, economic viability, and latency in AI systems.
- ▪MAXTOKEN is a framework that maximizes token output while maintaining coherence.
- ▪It includes a hybrid architecture combining linear-time processing with sparse attention.
- ▪The framework features a Generative State Engine for unbounded output and a three-objective training protocol.
Opening excerpt (first ~120 words) tap to expand
Published May 24, 2026 | Version v1 Preprint Open MAXTOKEN A Unified Framework for Unbounded Output Generation and Repository-Scale Code Understanding Authors/Creators choukri Description Large Language Models (LLMs) have achieved remarkable progress in natural languageand code generation, yet remain fundamentally constrained by two interrelated limitations: output token caps (typically 8k–32k tokens) and quadratic attention complexitythat makes long-range reasoning economically prohibitive.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Zenodo.