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Peace Thabiwa
Peace Thabiwa

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DreamNet: Mapping Human Imagination

The Problem

AI can simulate dreams, but can’t interpret human imagery beyond visuals.
Our subconscious flows in pattern, rhythm, and time — not pixels.

💥 The BINFLOW Solution

DreamNet uses temporal tagging on sensory streams — labeling each imagined or remembered object with emotional tempo and neural phase signatures.

⚙️ MVP Markup
from binflow import DreamTracer

dream = DreamTracer(user="peace")
dream.capture(["sound", "color", "motion"])
dream.encode_tempo_phase()

🌍 Real-World Impact

A framework for decoding imagination — the blueprint for future cognitive VR.
DreamNet turns thoughts into structured flow.

By Peace Thabiwa 🇧🇼 — SAGEWORKS_AI | The BINFLOW Initiative

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