Filtered by category: e-Literate, tag: philosophy of mind × Clear
Claude Interviews Me About How AI Works
Matched: AI, Artificial Intelligence
A blogger returns to AI-dialogue-format posts, this time discussing his academic theory of how transformers work with Claude Opus. His "Conservation of Predictive Meaning" theory proposes that AI models build up useful distinctions rather than narrowing down from vast possibility spaces, connecting transformer mechanisms like softmax to a 1950s psychometric axiom. The conversation demonstrates both the theory's claims and its limits, while modeling how custom prompting can scaffold careful reading.
An Explanation of AI that Could Be Wrong (Which is Good)
Matched: AI, Artificial Intelligence
A former strategy executive and lifelong cognitive science enthusiast has published a scholarly paper arguing for a falsifiable theory of what AI actually learns during training. The paper, "Distinctions Worth Preserving," draws on decades of cross-disciplinary reading spanning philosophy, linguistics, learning science, and AI research. The author frames the work as a field-positioning argument and provides a falsification experiment. The post also offers prompting guides for using AI tools to engage with the paper.
AI Mindscape Prompting
Matched: AI
A conversation between educator Michael and Gemini AI explores how large language models actually work. Using the "apples and oranges" idiom as a framework, they discuss how AI processing resembles human cognition functionally—activating relevant knowledge based on context—while differing fundamentally in mechanism. Key insights include how prompting works as collaborative "mindscape" building rather than magic incantations, and how context windows enact distributed cognition and social constructionism concretely.