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Academy: LLM Fundamentals
Understanding tokens and context — developed through AI-assisted research and multi-model validation
View Course →Labs: AI System Analysis
Testing results and research findings from our ongoing experiments
View Research →The ReasonPath Academy
An educational resource for understanding the principles, applications, and critical limitations of modern AI.
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In-Progress Course
Path Category 1: AI Fundamentals
Start here to build a solid foundation. These courses cover the essential, non-technical concepts behind how AI models work.
What is a Large Language Model?
A simple primer on what LLMs are, how they are trained, and their basic capabilities.
How AI Learns: Training vs. Inference
Understand the fundamental difference between teaching an AI and using it to generate answers.
From Data to Decisions: The AI Pipeline
A high-level overview of the end-to-end process of building a functional AI application.
Path Category 2: Understanding AI Limitations
Go beyond the hype. This path focuses on the inherent weaknesses and failure modes of current AI systems, aligning with ReasonPath's core mission.
The Problem of Hallucination
Learn why models confidently generate false information and explore the concept of grounding.
Unpacking Model Bias
An analysis of how biases in data and design lead to skewed and unfair AI outputs.
The Black Box Challenge: Intro to Interpretability
A look at the ongoing research challenge of understanding why a model makes a specific decision.
Path Category 3: AI Safety & Alignment
Explore the practical techniques and ethical frameworks used to make AI systems safer, more reliable, and aligned with human values.
AI Guardrails and Red Teaming
An introduction to the proactive security measures used to test and constrain model behavior.
The Alignment Problem
A conceptual overview of the challenge of ensuring advanced AI systems pursue intended goals.
Labs
Where we test AI systems, analyze research papers, and share findings
Content integration in progress...
AI Glossary
AI terms explained in plain English - navigate AI terminology with confidence
Legal Disclaimer
⚖️ Independent Educational Platform
ReasonPath™ is an independent educational platform. We are not affiliated with, endorsed by, or officially connected to any AI company including but not limited to OpenAI, Anthropic, Google, or their respective products and services.
AI System Usage & Attribution
- Educational Purpose: AI system names and references are used solely for educational, analytical, and comparative purposes
- Fair Use: All usage falls under fair use provisions for educational content and criticism
- No Partnership Claims: No official partnerships, endorsements, or business relationships are claimed
- Trademark Recognition: All trademarks remain property of their respective owners
Content Methodology Disclosure
Our educational content is developed through:
- Independent research using publicly available AI tools
- Comparative analysis across multiple AI systems
- Educational synthesis and original commentary
- No access to proprietary systems or insider information
Risk Management & Compliance
🔍 Compliance Monitoring: This platform undergoes regular legal compliance reviews. If you represent an AI company and have concerns about our educational usage, please contact: legal@reasonpath.com
Attribution Policy
When referencing AI systems in our educational content:
✅ Compliant Usage Patterns:
- "Analysis using AI language models"
- "Comparative study across AI systems"
- "Educational content developed with AI assistance"
- "Research methodology involving multiple AI tools"
❌ Avoided Language:
- Partnership or collaboration claims
- Official endorsement implications
- Proprietary access suggestions
- Business relationship indicators
Legal Contact & Escalation
For AI Companies: If you have concerns about our educational usage of system names or methodologies, please contact our legal team before taking any action. We are committed to educational fair use and open to discussion.
Contact: legal@reasonpath.com | Subject: "AI Usage Inquiry"
Terms of Service & Privacy
Last Updated: August 23, 2025
Next Review: November 23, 2025
This platform operates under standard educational fair use provisions. Full terms of service and privacy policy available upon request.
Independent AI Education
ReasonPath™ is an independent educational platform focused on AI literacy and understanding.
Educational Methodology
Our content development process:
- Independent Research: Using publicly available AI tools and documentation
- Comparative Analysis: Evaluating multiple AI systems for educational purposes
- Original Commentary: Adding educational context and synthesis
- Legal Compliance: Regular review of all content for trademark and fair use compliance
Contact & Legal
General Inquiries: info@reasonpath.com
Legal Matters: legal@reasonpath.com
Press & Media: press@reasonpath.com