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Kevin's avatar

Just to provide a personal anecdote, I use GitHub Copilot and ChatGPT every day as a software engineer. It's been worth it to pay to get the superior GPT4 model, rather than the publicly available GPT3.5. I'm a happy paying customer, and I would pay even more to get improved versions.

It's really good for some forms of programming, but not others. This is "generative AI", but it isn't really "creative AI" - it's more like translation. I have a long list of requirements written in English, and I need to translate it into javascript. It isn't doing the "creative" part of my job... but it's often great at filling out the long and boring parts that I'm not an expert in.

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Richard Tafoya's avatar

This is a premature take. AI's capabilities are in their infancy. The capabilities for systems to integrate with them are even younger. Some existing integrations, like code-completion via Github Copilot (owned by Microsoft) are already quite impressive and becoming widely-used by professional developers.

The rush to get a demo out the door to chase a stock price bump isn't doing anyone any favors. The current iterations of large language models will be seen as cripplingly primitive in a couple of years, with plenty of "no wonder AI sputtered out of the gate" retrospectives.

I have little doubt that AI will find a range of sweet spots in plenty of areas for both companies and consumers. Maybe not so much in making music, but quite possibly in helping us discover artists and explore their deep cuts and influences. Maybe not in mimicking TV actors or writers, but in helping us find great TV shows from the massive catalogs that very streamer has acquired.

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