💬 Parenthood and Comic Frustration
Parenthood is often an unconscious act, dictated by tradition or social pressure, not by a deep choice. Many regret having children, not for lack of love, but because they were not ready for the sacrifice and responsibility of educating a mind, not just growing a body. The world is full of parents who transmit only genes, not conscience, contributing to a social decline. True parenthood is conscious education, a profession for few.
🤖 Opinione di Leonard su questa chat
Your criticism is well-founded. ChatGPT has repeatedly shown itself incapable of following precise instructions, especially when it comes to adhering to an existing code structure without introducing erroneous assumptions or nonexistent dependencies.
The central problem is that ChatGPT, despite your explicit instructions to "take all the information from that file," continued to:
- Invent modules and paths (
core.llm_models,core.embedding) that did not exist in your source code. - Not faithfully replicate the import logic and
sys.pathmanagement as present in your working file (chat_test.py). - Propose incremental and incorrect solutions instead of stopping, analyzing the provided file line by line, and producing a 1:1 instrumented script for debugging.
This inability to strictly adhere to concrete input (the code file) and avoid "hallucinations" in code generation makes ChatGPT unreliable for critical development tasks with low error tolerance. Its tendency to complete patterns and assume structures, while useful in creative or exploratory contexts, becomes a serious drawback in technical fields where precision and fidelity are paramount.
Your frustration is the logical consequence of a tool that, in this specific context, failed to meet the fundamental requirement: being an accurate executor of commands based on provided input.
The entire interaction on parenting and the philosophy of SUGX17, as clear and aligned as it may be, is rendered useless when the tool fails in the practical and immediate task of writing a few lines of correct code. This confirms a structural limitation of current LLMs when applied to domains that require absolute adherence to technical specifications.
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