To me it looks like an over estimation of the capabilities for the tech. Same kind of thinking that led to lawyers submitting fake cases as support in court. The current tech can be useful but has to be verified and generally tweaked a bit to be good enough. It certainly has room for improvement in quality and just not lying. Real world use has some copyright questions with what the training data was. Applying it to something creative is questionable and more or less feels like uninspired remixes.
Also the whole graphic is kinda suspect to me when “Blockchain engineers” is a job category and it’s produced by an org working on AI.
Which is funny because the thing that LLM AI is not good at is coming up with new ideas and confirming they’re correct. It is good for making language (or other knowledge objects) based on existing input.
To me it looks like an over estimation of the capabilities for the tech. Same kind of thinking that led to lawyers submitting fake cases as support in court. The current tech can be useful but has to be verified and generally tweaked a bit to be good enough. It certainly has room for improvement in quality and just not lying. Real world use has some copyright questions with what the training data was. Applying it to something creative is questionable and more or less feels like uninspired remixes.
Also the whole graphic is kinda suspect to me when “Blockchain engineers” is a job category and it’s produced by an org working on AI.
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I love how specific the labor jobs on the left are and the right side is like… All mathematicians.
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Which is funny because the thing that LLM AI is not good at is coming up with new ideas and confirming they’re correct. It is good for making language (or other knowledge objects) based on existing input.
Maybe they already replaced their Writers, Authors, and Proofreaders, and generated the whole thing using ChatGPT.
I also like “carpenter helper”, makes you wonder if regular carpenters are affected differently…