Thank you... thank you heartfelt for the marvel... miracles you do...
And for the mature view on it...

Those students/people who believe AI is accurate should consider the actual algorithm and how works under the hood.

One of the main idea behind is the feedback system, and if any wrong bit comes from the feedback, it'll affect the whole set, and 0 may become 1, eventually.

Another issue is the following:

These conditions are ripe for "copyright laundering"-the use of multi-generational synthetic pipelines, an "AI Ouroboros," to render traditional proof of infringement impracticable.

This Article adapts the "fruit of the poisonous tree" (FOPT) principle to propose a novel AI FOPT standard: if a foundational AI model's training is adjudged infringing (either for unlawful sourcing or for non-transformative ingestion that fails fair-use), then subsequent AI models principally derived from the foundational model's outputs or distilled weights carry a rebuttable presumption of taint.

The burden then shifts to the downstream developers-those who control the evidence of provenance-to restore the evidentiary bargain by affirmatively demonstrating a verifiably independent and lawfully sourced lineage or a curative rebuild, without displacing fair-use analysis at the initial ingestion stage. Absent such proof, commercial deployment of tainted models and their outputs is actionable.

Source: https://arxiv.org/pdf/2601.02631 (Copyright Laundering Through the AI Ouroboros...)

Another issue is the dear dependence on vendors who control and supersize your use while you are subscribed, and while you regularly atrophy and become more and more dependent on some vendor, you pay more and more, realize and memorize less and less...

To the point you socialize less, your write less with your own hands, mind, and attitude, you create less, you live less...