Wednesday, December 31, 2025

Enhanced GitHub Repository: Bitterbot-AI’s Topas DSLP Version 1

Unleash the Power of TOPAS-DSPL: The Future of AI Reasoning

Introducing the Dual-Stream Programmatic Learner (DSPL), a revolutionary approach developed by Bitterbot AI, designed to enhance machine reasoning while simplifying architecture. Here’s what makes TOPAS-DSPL a game-changer:

  • Bicameral Latent Space: Separates logic from execution, enhancing algorithmic clarity and efficiency.
  • Robust Performance: Achieves a 24% solve rate on the ARC evaluation set, proving its reasoning capabilities.
  • Dynamic Modulation: Features Adaptive Layer Norm (AdaLN) to ensure seamless interaction between logic and memory.

Key Highlights:

  • Innovative Streams:

    • Logic Stream: Acts as the controller; refines rules autonomously.
    • Canvas Stream: Executes localized instructions; adapts in real time.
  • Scalable Learning: Works efficiently on compact hardware with low parameter counts (8M – 24M).

Dive deeper into how TOPAS-DSPL can revolutionize AI applications. Let’s transform the future together—share your insights and engage with our community!

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