A Beginner's Guide to AI Dice or Dominoes? The Secret Battle Inside Every AI
Aug 17, 2025
Uncover the fascinating clash between deterministic and probabilistic AI systems, revealing why your smartphone can seem both brilliant and baffling. Dive into real-world stories that illustrate how these systems impact everything from language processing to healthcare. Enjoy cake-baking metaphors that make complex ideas accessible. Discover the importance of embracing uncertainty in AI and how it can lead to innovation and lifelong learning. Get ready for insights that will change how you perceive artificial intelligence!
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When To Prefer Deterministic Systems
- Use deterministic systems when rules are fixed and repeatability matters, such as automation or safety control.
- Avoid probabilistic complexity when a single correct action is necessary and deviations cause harm.
When Clockwork Beats Chance
- Deterministic AI gives exact, repeatable outputs for the same input using fixed rules and logic.
- It excels where reliability and predictability are crucial, like traffic lights or rule-based diagnosis.
Why Some AIs Hedge Their Bets
- Probabilistic AI handles uncertainty by producing likely answers with confidence levels instead of certainties.
- This approach increases robustness when data is messy or incomplete, such as in language or perception tasks.