@ocrampal

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939 Following
206 Posts

As an entrepreneur and the creator of Italy’s largest social media platform, I am now focused on building a user-centric content ecosystem. This project is rooted in Geneosophy, a verifiable model of human intelligence, offering a distinct alternative to traditional AI. I am naturally drawn to subjects that lack codified descriptions; consequently, my work thrives in the 'undefined,' exploring territories where clear definitions have yet to be established.

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About mehttps://www.ocrampal.com/about-me/
Geneosophyhttps://www.geneosophy.com

https://ocrampal.com/when-the-question-itself-was-the-problem/

Most philosophical debates don't need better answers. They need a different starting point. This dialogue explores a framework in which paradoxes about mind and body and reality stop arising.

#programming #AI #intelligence #cogsci #philpsy #neurosky #philosophy

When the Question Itself Was the Problem

Most philosophical debates don't need better answers. They need a different starting point. This dialogue explores Geneosophy, a framework in which centuries-old paradoxes about mind and body, mathematics and reality, don't get solved. They stop arising. [Part 1] | [Part 2] | [Part 3] | [Part 4] | [Part 5] | [Part 6] Practitioner: I

ocrampal`s place

Every major intellectual revolution has a Galileo moment: when the object of inquiry becomes clear, the method takes shape, and the formal language is still being forged.

https://www.ocrampal.com/the-galileo-moment/

#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy

The Galileo Moment

Every major intellectual revolution has a Galileo moment: when the object of inquiry becomes clear, the method takes shape, and the formal language adequate to carry the new questions is still being forged. Newton and Leibniz didn't find calculus waiting for them. The questions Galileo opened called it into existence.

ocrampal`s place

There is an I you feel. Located, bounded, looking out at the world from somewhere behind your eyes. Geneosophy is not interested in that I.

https://www.ocrampal.com/the-ground-beneath-the-i/

#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy

The Ground Beneath the "I"

There is an I you feel. Located, bounded, looking out at the world from somewhere behind your eyes. Geneosophy is not interested in that I. It is interested in what makes that I possible, the generative ground beneath perception, beneath experience, beneath the very distinction between inside and outside. This

ocrampal`s place

We have become master cartographers of the "given." By scaling computation, we have built maps so vast and detailed that we often mistake the territory for the grid.

https://www.ocrampal.com/the-question-ai-will-never-ask/

#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy

The Question AI Will Never Ask

We have become master cartographers of the "given." By scaling computation, we have built maps so vast and detailed that we often mistake the territory for the grid. But as the dialogue between the AI Practitioner and the Philosopher reveals, our current path in Artificial Intelligence is a pursuit of

ocrampal`s place

We talk endlessly about what AI can and cannot do. We talk very little about the assumptions built into the question itself. This dialogue follows a philosopher and an AI practitioner.

https://ocrampal.com/from-plato-to-gradient-descent-the-frame-we-forgot-we-chose/

#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy

From Plato to Gradient Descent: The Frame We Forgot We Chose

Practitioner: I’ll be honest—I find the "philosophy of AI" a bit indulgent. We aren’t guessing anymore. We’re building systems that work. GPT, AlphaFold, Sora... these aren't accidents. We’ve clearly cracked the code on how intelligence functions. Philosopher: I don’t doubt the results. But results

ocrampal`s place

AI won't reduce the number of programmers. It will create millions more, because running code you cannot understand is not programming. It is faith.

https://www.ocrampal.com/there-will-be-more-programmers-not-fewer/

#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy

There Will Be More Programmers, Not Fewer

AI won't reduce the number of programmers. It will create millions more, because running code you cannot understand is not programming. It is faith. Part I — The Hypothesis The Democratization Arc, and What It Actually Produced. The prevailing narrative about AI and programming runs like this: LLMs will automate code

ocrampal`s place

Society has lost its direction. We are now driving blind, and the reason is reductionism. We’ve become so obsessed with breaking the world into tiny parts that we’ve forgotten how the whole thing actually hangs together.

https://www.ocrampal.com/too-narrow-to-be-wise-the-tunnel-vision-trap-of-modern-expertise/

#SystemsThinking #Reductionism #Holism

Too Narrow to Be Wise: The Tunnel Vision Trap of Modern Expertise

We live in a Kafkaesque paradox: the very people we turn to for wisdom about life’s biggest questions—meaning, society, the future of humanity—are systematically selected for their inability to think about such things. Consider this absurd pattern: A tech entrepreneur optimizes engagement algorithms for maximum user addiction,

ocrampal`s place

In the rush to scale neural networks, we have fallen into a category error: believing that a perfect simulation of an intelligent behavior is the same thing as the existence of intelligence itself.

https://www.ocrampal.com/chasing-our-own-tail-self-reference-infinite-regress-and-the-limits-of-any-academic-discipline/

#ArtificialIntelligence #PhilosophyOfAI #CognitiveScience

Chasing Our Own Tail: Self-Reference and the Limits of any Academic Discipline

Marcus Doubtful, a physicist turned philosopher. Richard Trad, a mathematician turned philosopher. Both have spent decades thinking about the foundations of knowledge, but they've reached very different conclusions. Richard: Marcus, I've been reading your recent work on disciplinary self-reference. While I find your historical analysis interesting, I think you're making

ocrampal`s place
LLMs hallucinate? Groundbreaking discovery: a statistical model works statistically. 😉 It’s the ultimate tech irony. We abandoned GOFAI because manual rules couldn't handle the messiness of reality. We moved to the 'bottom-up' statistical approach, only to find ourselves frantically retrofitting those same rules onto a black box to stop it from hallucinating.

The duality of every vibe-coded project you see and every LLM-generated pull request you review being dangerous insecure messes and then turning around and hearing every respected figure in the web dev community saying these tools are now better than human developers

If I hadn’t live through several brain-cooking bubbles (Iceland has had a few more than the rest) I’d be shocked at the dissonance