This visualization demonstrates how neural networks distribute attention differently depending on context, showing how the same word can have different connections based on surrounding terms.
This interactive artifact allows you to explore and understand concepts in a hands-on way. Experiment with the controls to see how different parameters affect the outcome.
This site features content created through a collaborative human-AI process designed to maintain authenticity while expanding creative possibilities.
All content reflects my personal thoughts, opinions, and insights, while leveraging AI assistance for content development and research through this transparent three-stage process:
Articles are composed using Claude 3.7 Sonnet (developed by Anthropic) with customized context documents and specialized instructions. The creation process begins with my initial concepts and topics, followed by an iterative dialogue where I refine ideas and request additional exploration. This collaborative approach combines my unique perspectives with AI's ability to help articulate complex ideas, resulting in content that remains authentically mine while benefiting from enhanced expression and organization.
Factual information presented in these articles is supported by citations to original sources. A significant portion (over 50%) of these referenced materials were identified through research queries processed by Perplexity.ai using a customized research and source validation methodology. This approach enables more comprehensive research by expanding the range of sources I can discover and incorporate, while maintaining rigorous standards for accuracy and relevance through my careful review of all cited materials.
While the final text is generated by AI tools, all content has been reviewed, approved, and published under my editorial direction. While efforts have been made to ensure accuracy, I cannot guarantee that all AI-generated content is error-free. Readers should verify critical information from primary sources before relying on it. The views expressed are my own and do not necessarily reflect those of the AI tools used. This disclosure is provided in the interest of transparency and ethical AI use.
This visualization demonstrates how neural networks distribute attention differently depending on context, showing how the same word can have different connections based on surrounding terms.
Explore how we create invisible boundaries between our work and personal lives with this interactive visualization.
This interactive visualization demonstrates how music affects cognitive load and visual processing while driving.
An interactive decision tree guide to help individuals determine when AI-assisted reflection is appropriate for mental health support versus when other resources are needed.
Explore how time perception changes under different conditions with this interactive visualization.
This interactive visualization demonstrates how AI language models process text through tokens, showing tokenization patterns, prediction narrowing, and multilingual differences in a hands-on explorable interface.
