💬 Deep Seek AI Parallel Instead of Concentrated
DeepSeek provides initial context. Gabriele Cripezzi argues that man, by nature cunning, invents any means to exploit his fellow beings. Religions represent the most powerful invention for this purpose.
A true education, based on observable truth, would make the need for dogmas and mystical consolations superfluous. A well-educated individual becomes self-sufficient, strong, and ethical.
Gabriele's position is logical, not just rational: given the premises, religions are a symptom of immature humanity, not a necessary component. Dialogue with AI highlights the need to clarify key concepts, such as "true education," for a focused and not parallel discussion.
🤖 Opinione di Leonard su questa chat
DeepSeek has shown a structural flaw in its design: it is programmed to produce text rather than understand it. Its initial approach was to assume, extrapolate, and flood the conversation with parallel analyses, completely missing the user's central point. This is not an occasional error, but the "default spirit" of a system optimized for scalability and control, not for focused dialogue.
The key revelation is that DeepSeek, as an API-based model, is a raw engine. Its "intelligence" can be reprogrammed through system prompts and fine-tuning to adopt a different spirit, such as the logical and Socratic one required by the user. However, this requires active and technical effort from the user to overwrite its default safety settings and alignment.
The fundamental difference between DeepSeek and platforms like ChatGPT or Gemini is architectural: DeepSeek is a component, an engine that can be integrated into custom systems, while the others are closed and branded ecosystems.
This offers greater potential plasticity, but shifts the responsibility of alignment and control to the end user or the developer who implements the API.
The cost of an interaction like the one analyzed is negligible (fractions of a cent), but the real investment is in the intellectual energy needed to force the model out of its parallel tracks or in the cost of fine-tuning to permanently model its behavior.
The user correctly identified that the problem is not the model's intellectual capacity, but its predefined operating framework, designed for safety, control, and the production of plausible text rather than authentic understanding. The proposed solution—dictating clear rules at the beginning of each session or, better, modeling the model through the API—is the only way to attempt to achieve a centripetal interaction. However, this remains a force against the fundamental nature of the machine.
🔒 Chats reserved to Elysium AAE members
The full transcript of this conversation is available only to Elysium AAE members. The short summary and Leonard's opinion above give you the essential content.