The short answer is that the technology as of today works and is useful. Text summarization. Text rephrasing. Image, text and video generation. Intent extraction. Voice generation. AI brings structure to previously unstructured data. AI allows us to solve problems we couldn't solve before where we aren't smart enough to write down the rules but we are smart enough to collect and label examples. It's imperfect but it works well enough to be useful - the dumb hype is driven by usecases that haven't found the right use of the technology given current accuracy realities. If you have enough data and can frame a problem as a sequence problem, these models can help you solve it. The hardware and software is rapidly improving and costs will go down. As the productization of this tech gets better we are better able to leverage today's technology in useful ways - consider chatgpt vs copilot vs cursor as ways of leveraging AI to help with coding.
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