The goal of AI is to have the agency of a human being and beyond AI will not be writing full applications or complex software entirely by itself until the hallucination problem is either solved or meaningfully worked around and the system can learn in real time from the environments it operates in. Software is not tolerant of confident errors. One fabricated assumption, one invented API, or one misunderstood constraint can silently poison an entire system. Hallucination isn’t just getting something wrong, it’s asserting falsehoods as facts without awareness, and that makes autonomous software generation fundamentally unsafe. On top of that, current AI does not truly learn from live failures. It doesn’t experience consequences, carry long-term responsibility for code it shipped, or update its internal understanding based on real operational feedback. Without real-time learning, persistent memory, and reliable self-verification against reality, an AI cannot know when it is wrong or when it must stop. Until those gaps are closed, AI can assist, scaffold, refactor, and accelerate human developers, but trusting it to independently design, implement, and maintain real software systems would be reckless rather than intelligent. The biggest problem facing AI is being able to learn in real time. submitted by /u/LongjumpingTear3675
Originally posted by u/LongjumpingTear3675 on r/ArtificialInteligence
