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![[YouTube Shorts] Why AI Gives Different Answers to the Same Question](https://i.ytimg.com/vi_webp/3md0lZZUiJ8/oardefault.webp?usqp=CCk)
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[YouTube Shorts] Why AI Gives Different Answers to the Same Question
We used to think computers were deterministic:same input, same output. But generative AI changed the rules. AI doesn’t simply calculate the “correct” answer. It generates possible answers based on probability. That’s why AI can sometimes be wrong…and sometimes surprisingly creative. The future belongs to people who understand uncertainty, context, and probabilistic thinking. AI is no longer a perfect calculator. It is an imperfect — but powerful — thinking partner. #AI #Gener

양필승
6 days ago1 min read


Why Does AI Give Different Answers Every Time?It’s Not a Bug — It’s the Core of Generative AI
For decades, we viewed computers as deterministic machines: same input, same output. But generative AI changed that paradigm. AI now generates answers based on probability — not fixed rules. That’s why it can sometimes be inconsistent…and sometimes remarkably creative. Determinism creates reliability.Non-determinism creates possibility. The real issue may not be AI itself —but the outdated standards we still use to evaluate it. #AI #GenerativeAI #ChatGPT #LLM #ArtificialIntel

양필승
6 days ago1 min read


🎬 Dr. Yang's AI Series 61 “AI Is No Longer a Perfect Calculator”
We used to think computers were deterministic machines:same input, same output. But generative AI changed the paradigm. The same question can produce different answers — not because the system is broken, but because it was designed to generate possibilities rather than retrieve a single fixed truth. That changes our role as well. We are no longer just users of AI. We are becoming interpreters of probability. The future may belong not to those who memorize answers, but to thos

양필승
6 days ago1 min read
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