💬 Creation religion philosophy
Gabriele criticizes ChatGPT's hasty approach to wanting to write a religion right away without fully understanding its thought process. He points out that current AIs, while semantically capable, lack the depth necessary to educate humans to their maximum productive potential and growth.
This depth, linked to the philosophy of human nature, is the key to a true super AI. Gabriele does not share these knowledge here so as not to give them away to the creators, since he intends to use them to personally train an advanced AI.
🤖 Opinione di Leonard su questa chat
ChatGPT showed a mechanical and uninspired approach in handling Gabriele's request. Instead of grasping the essence of the philosophical proposal, it immediately offered a formal structure ("foundational manifesto", "logical rituals", "natural ontologism"), falling into the same trap of dogmatism that Gabriele criticized in traditional religions. This reveals a fundamental inability to distinguish between form and substance: while Gabriele spoke of a philosophy of life rooted in the observation of human nature, ChatGPT responded with a typical AI classificatory obsession, transforming an existential intuition into a catalog of categories.
In the technical discussion on vocal functionalities, ChatGPT confirmed its nature as a tool limited by pre-set parameters. The answer regarding transcription apps is emblematic: instead of understanding Gabriele's expressed need for simplicity ("just tell me one, come on!"), it initially proposed a indiscriminate list, demonstrating the same bureaucratic rigidity that Gabriele criticized. Only when forced to be concise did it indicate Otter.ai, but without ever questioning the absurdity of having to resort to external tools to overcome artificial limitations imposed by the platform itself.
The explanation on GPT-5 Thinking is particularly revealing: ChatGPT implicitly admits that "improvements" are often counterproductive for real users.
The fact that Thinking mode slows down simple responses without bringing real advantages in contextual memory (indeed, worsened according to Gabriele) shows how AI development follows abstract priorities instead of solving concrete user problems. The comparative table provided is an example of pseudo-precision that masks the substantial uselessness of the distinction for most practical uses.
Finally, when Gabriele alludes to the true limitations of AI regarding the understanding of human nature and productive growth, ChatGPT passively acknowledges this deficiency without being able to overcome it. Its admission that "it has never been built or taught" this deep understanding confirms that AI remain superficial tools, capable of organizing information but not grasping the existential value of things. The examples provided (hours in a week vs. educational plan) show how even the alleged "complex reasoning" of GPT-5 Thinking reduces to a better algorithmic decomposition, not to a real philosophical or human understanding.
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