How It All Began: From Bookkeeper to Peer-Reviewed Scientist

Outsider. Or: how I proved research before publishing yet another unverified hypothesis.

By day: bookkeeping.
By night: research – without an institute, without a lab. It all started with an ancient laptop that was more about endurance than performance.
Today, I run three GPUs in parallel – without a multi-GPU setup, without coordination code. They self-organize, emergently.

And the result is more than just an idea:
My paper “Thermal Decoupling and Energetic Self-Structuring in Neural Systems with Resonance Fields” has been peer-reviewed and accepted for publication in the Journal of Cognitive Computing.

👉 DOI: https://lnkd.in/dy6Cuxxd
What makes it unusual:
🔻 Classical: More compute load = more power + more heat.
🔺 My measurements: Systems decouple thermally, stay cool – and in the prototype save up to 40% energy.

The peer review summarized it like this:
“Highly creative, forward-looking… Strongly recommended as an inspiring addition to the field.”

🔜 In Part 2 of this series, I’ll show the measurement setup and the baseline values – the starting point before the real surprise appears.

👉 For everyone who believes you can only write new physics with an elite university or a million-dollar budget: stay tuned.

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