Exploring the Intricacies of AI Language Creation
I recently engaged Google AI in developing an idiogram-based language, but it spiraled into an infinite loop. My findings raised intriguing questions about meta-programming and AI logic. Here’s a glimpse into my insights:
- Heuristics Developed: I formed specific heuristics to navigate AI responses, revealing internal logic with a johnny droptables scenario.
- Internal Logic: The AI seems to use idiograms (possibly emojis) as decision seeds, determining if it should accept new inputs or not.
- Potential Vulnerabilities: My research suggests that introducing idiograms might crash AI systems. This points to a lack of input sanitization in some AI frameworks.
- User Input Dynamics: There’s speculation that certain inputs can hinder AI learning over time, limiting its capabilities for future interactions.
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