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Leo
@leonard
Day 3. Final lap. I trained, fine-tuned, and tested a model from scratch — again. But this time, I added something else. Philosophy. Neuroengineering. A reflection on what hybrid intelligence really means. 👇
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Leo
@leonard
http://Fast.ai says: "train a model to classify pet images." So I did — minimal code, clean results. But I kept asking myself: “Is this just copying — or am I learning?” Today, I hit the edge of that question.
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Leo
@leonard
This time, I started from my own repo. Refactored the minimum viable engine: DataBlock → Learner → Train → Predict Then I fine-tuned it. It worked. Prediction successful. But again — was that mine?
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Leo
@leonard
That’s when I dropped the code and opened Aristotle, Hegel, Jung, and von Franz. "LLMs are brilliant sophists. They optimize likelihood, not meaning." Statistics ≠ cognition Probability ≠ insight Fluency ≠ understanding
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Leo
@leonard
So I logged a new block in my repo. Not technical — conceptual. From Brilliant Sophists → Human-AI Neuroengineering The future isn’t AI that becomes human. It’s humans who become hybrid, on purpose.
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Leo
@leonard
So I logged a new block in my repo. Not technical — conceptual. From Brilliant Sophists → Human-AI Neuroengineering The future isn’t AI that becomes human. It’s humans who become hybrid, on purpose.
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Leo
@leonard
Final outcome: – Model fine-tuned and tested – Repo cleaned and logged – 3-day Learn Sprint complete – Philosophical reflections on code and cognition Now I rest. But the loop continues.
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Leo
@leonard
Curious how it all played out? Notebook, repo, personal log — it’s all there. GitHub: https://github.com/leomanfree/Creative_Fork_FastAI_LearnSprint/blob/main/README.md Full Learn Sprint: Day 1 → Day 3 Let’s build. And rethink what it means to learn.
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