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
The Complicated Legacy Of Mind Controlled Toys
Imagine a line of affordable toys controlled by the player’s brainwaves. By interpreting biosignals picked up by the dry electroencephalogram (EEG) electrodes in an included headset, the game…
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.
https://www.ocrampal.com/the-understood-understanding-gap-why-llms-hit-a-wall/
#philosophy #science #psychology #AI #intelligence #cogsci #philpsy #neurosky
The Understood-Understanding Gap: Why LLMs Hit a Wall
Large Language Models have become ubiquitous in knowledge work, yet a curious pattern has emerged. Talk to consultants at McKinsey, BCG, Bain, and you'll hear the same refrain: "I don't really know how I can leverage AI to boost my productivity beyond research and brainstorming." The same applies to programmers,
The Shared Delusion: Both doomers and dreamers assume current technology leads to AGI. They’re both wrong
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.
The reason for this shift is the "2-to-5-year" horizon. For decades,
AI and the Neglect of Meaning: From Unlimited to Indefinite
The story of artificial intelligence is not just one of increasing computational power—it’s also a story about how machines relate to meaning. Or more precisely, how meaning has been progressively sidelined in favor of statistical pattern manipulation.
To understand this, we can trace AI’s evolution through a
Why do even the most advanced 'World Models' still hallucinate? Why does AI hit a mathematical wall of 'combinatorial explosion' the moment we try to make it truly autonomous?
https://ocrampal.com/frequently-asked-questions-geneosophy-vs-ai/
#philosophy #AI #intelligence #biology #philmind #philsci #philsky #philpsy #neurosky
Frequently Asked Questions: Geneosophy vs. AI
1. Is Geneosophy just another type of AI?
No. Geneosophy is not a refinement of AI; it is an entirely different approach to intelligence and living organisms. While AI is built on the computational model—which manipulates relationships between already existing concepts—Geneosophy focuses on the generation of those concepts
The Zoetrope of Logic: Why Programs Live in Frozen Time
Why Computation Can Simulate the Past, but Never Generate the Living Present
The Illusion of Time in Software
When you watch a video game character run across a screen, witness a real-time stock ticker update, or see a physics simulation unfold, you're experiencing what appears to be continuous, flowing time.
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Code is Not Thought
If a machine can mimic a thought, does it mean it is thinking? This dialogue strips away the hype of modern AI to reveal the "Code That Could Never Think." By examining the structural limitations of computation, we explore the difference between a system that follows rules and a system
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