New Feature: Adaptive Information Source Prioritization


This update brings some exciting new learning capabilities and refinements to SUKOSHI.

SUKOSHI now intelligently learns which information sources (Wikipedia, Wikidata, DuckDuckGo) are most reliable for its research tasks over time.

It will adjust its preference based on historical success, aiming for more efficient and effective information gathering. Its preferences are even saved between sessions.

Enhanced Research Capabilities with Wikidata:

SUKOSHI now fully integrates Wikidata as a primary information source, alongside Wikipedia and DuckDuckGo, significantly broadening its potential knowledge base.

Improved Concept Graph Visuals & Control:

Node Coloring Fix: Corrected node coloring logic in the concept graph to more accurately and consistently represent different types of knowledge (e.g., insights, hypotheses, facts from different sources).

Visual Effects: The concept graph now features enhanced visual effects like node pulsing and hover highlights for a more dynamic experience.

Effects Toggle: You can now toggle these visual effects on/off using the "Visual Effects" checkbox in the graph panel, allowing you to choose between a richer display or potentially better performance on some systems.

Improved Knowledge List Display:

The "Knowledge Acquired" list now correctly displays the most recently learned items at the top, making it easier to track SUKOSHI's latest discoveries.

Codebase Refinement:

Under the hood, the project's JavaScript code has been restructured for better organization and easier future development.

General Stability & Logging:

Various minor bug fixes and enhancements to internal logging have been made to improve stability and aid in future development.

See how SUKOSHI learns and adapts with these new features! As always, your feedback is invaluable.

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