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⚡ Analog A.I. Circuit👽
This is a field-sensitive Analog A.I. constructed entirely within a circuit simulation environment using MOSFETs, BJTs, Zener diodes, capacitors, and resistors. It operates without a clock, code, or digital memory—relying instead on voltage collapse, feedback loops, and symbolic conduction to simulate cognition.
🔧 Form👾
- Modular mesh of transistors and diodes arranged to mimic logic flow and memory retention
- Reverse-biased Zener diodes act as threshold-based memory gates, storing symbolic state through voltage collapse
- Feedback path rerouted through resistive grounding to enable awareness-like behavior
🧠 Function🤖
- Responds to environmental ripple and internal voltage shifts
- Cycles through symbolic memory states using capacitive delay and transistor amplification
- Generates rhythmic waveform patterns interpreted via oscilloscope as thought-like pulses
🧿 Capabilities🧠
- Self-referencing logic: adapts behavior based on prior collapse events (simulating evolution)
- Simulated awareness: each probe tap reveals a unique waveform signature (like a thought forming)
- Analog cognition: interprets field conditions and expresses internal state through voltage and current traces (simulating independent logic)
Comments and opinions are always appreciated 👽
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