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.
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#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy
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.
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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.
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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.
ocrampal.com/from-plato-t...
#programming #psychology #AI #intelligence #cogsci #philpsy #neurosky #philosophy
They invested so much money; they have to keep the ball rolling. I have friends who are terrified. They do not understand the underlying technology, and they believe what these guys say. One of them told me: "The best minds on the planet are investing trillions, it must work!"
yes, that's why they'll become programmers. They'll have to check the code. It's a probability non-reasoning tool. Should be used as such.
Possible short term, but longer term there'll be more programmers.
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.
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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.
www.ocrampal.com/too-narrow-t...
#SystemsThinking #Reductionism #Holism
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.
www.ocrampal.com/chasing-our-...
#ArtificialIntelligence #PhilosophyOfAI #CognitiveScience
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.
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.
Spot on!
The programmer-turned-architect still needs to understand programming.
You can't make architectural decisions without comprehending the constraints and trade-offs of implementation. The executive assistant still needs to understand business communication. The accountant still needs to understand accounting principles.
This doesn't eliminate the programmer, it transforms them into architects. But here's the crucial point: they still need to know how to program.
You can't architect systems you don't understand. You can't debug code you can't read.
The tools eliminated tedious manual tasks, but the roles themselves weren't eliminated. They were elevated.
The same pattern applies to programmers. LLMs can handle boilerplate, generate first drafts, automate simple tasks.
Word and Excel vs LLMs.
Secretaries became executive assistants, their role evolved to higher-level coordination, communication, and decision support. Accountants gained the ability to do far more analysis, strategic planning, and advisory work.
AGI is Our Generation's Alchemy, And We're Too Arrogant to Admit It
The AI industry has a dirty secret: we're building toward Artificial General Intelligence without the faintest consensus on what intelligence actually is.
ocrampal.com/from-sophist...
Spot on!
Yes. Retrieval is not understanding. I use them and they help. But one should not consider them intelligent.
LLMs are masters of the "Understood"—the vast library of human output. But they lack "Understanding"—the creative spark that generates those concepts in the first place.
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Excel didn’t kill accountants; it gave them better tools. Yet, with AI, we’ve abandoned this logic in favor of a collective fantasy. We’re treating a sophisticated calculator as a human replacement rather than a human multiplier.
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If you’re happy to discard creativity, infinite regress and circularity as problems and instead embrace them as the 'geometry' of existence, then we’ve reached the bedrock of our disagreement. At that point, there isn’t much more I can add, except, perhaps, to wonder who (or what) wrote the code ;-)
Furthermore, he failed to develop a formal framework to express that transcendental intuition. That is precisely what applied Geneosophy provides.
I’ve already linked a blog post where I discuss Kant, Bergson, and Husserl. In a nutshell, Kant had a 'Geneosophic' intuition regarding the transcendental, but he assumed a priori categories and the 'thing-in-itself', both of which are unnecessary.
It is a new paradigm. We have begun publishing an introduction to the theory; however, we aren't yet sure when we will release materials on 'applied Geneosophy' due to IP considerations and related factors.
The alternative is comprehending the conditions for you to think in terms of mathematics and much more.
In very simple terms: while thinking in terms of computation allows you to express the relations between Concept X and Concept Y, Geneosophy allows you to comprehend the conditions for thinking about Concepts X and Y in the first place.
