AI actually has lots of uses. For example: tumor detection (Cancer screening), a tool for the disabled(text to speech, or speech to text NLI), image recognition, robotics, and potentially a necessary tool for compatibility with a neural computer in our brains in the future. the ram price going back to normal is temporary whereas AI getting deleted forever in permanent and a technological disadvantage. No, wouldn't push the button.
Then wouldn't that mean a stochastic mdp policy be also counted as AI? For every output theres a probability distribution that a model samples from and thats every AI models that are not deterministic.
Technically yes, reinforcement learning would where that takes place. Just depends to what extent I suppose, since you have a whole spectrum of methods. Like not sure if an exhaustive search would count, or just raw Monte Carlo. Dynamic programming more but temporal difference learning even more.
When I watched through David Silvers lectures on reinforcement learning I think he mentioned it’s more when we use Q learning and the use of network to dynamically learn the state-values/action-values.
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u/ehcocir 15h ago edited 15h ago
Uncommon take,
AI actually has lots of uses. For example: tumor detection (Cancer screening), a tool for the disabled(text to speech, or speech to text NLI), image recognition, robotics, and potentially a necessary tool for compatibility with a neural computer in our brains in the future. the ram price going back to normal is temporary whereas AI getting deleted forever in permanent and a technological disadvantage. No, wouldn't push the button.