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!"
27.02.2026 19:07
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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.
27.02.2026 18:45
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Possible short term, but longer term there'll be more programmers.
27.02.2026 18:12
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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.
10.02.2026 12:22
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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.
10.02.2026 12:21
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Spot on!
10.02.2026 10:51
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The programmer-turned-architect still needs to understand programming.
08.02.2026 10:44
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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.
08.02.2026 10:44
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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.
08.02.2026 10:44
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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.
08.02.2026 10:43
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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.
08.02.2026 10:43
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Spot on!
07.02.2026 07:05
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Yes. Retrieval is not understanding. I use them and they help. But one should not consider them intelligent.
03.02.2026 15:16
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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 ;-)
01.02.2026 12:14
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Furthermore, he failed to develop a formal framework to express that transcendental intuition. That is precisely what applied Geneosophy provides.
01.02.2026 11:58
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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.
01.02.2026 11:58
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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.
01.02.2026 11:44
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The alternative is comprehending the conditions for you to think in terms of mathematics and much more.
01.02.2026 11:42
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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.
01.02.2026 11:27
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Who or what frames the computation? Is it another computation, or is computation a free-floating, all-encompassing entity? Perhaps it is an entity that is able to evaluate itself? And, finally, are you a part of this computation?
01.02.2026 10:58
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Computationalism leads to infinite regress and circularity; it cannot account for autonomous creativity. I am not suggesting the paradigm is inherently flawed, it functions exceptionally well for engineering and the scientific method—but one must acknowledge its fundamental limitations.
01.02.2026 10:48
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One must assume a starting point and judge it by its fruits. If you begin by assuming computation is the territory, you are led inevitably into the traps of self-reference and infinite regress.
01.02.2026 10:23
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