I really identify with this commercial.
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I really identify with this commercial. Including the Barista's height 😆
Gli ultimi otto messaggi ricevuti dalla Federazione
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@GustavinoBevilacqua mia nonna ogni giorno mi mandava dal prestinaio a prendere le michette (lei lo diceva in milanese)
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@davep That's OK, you don't have to.
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I generally don't like LLM-generated images or video. I mostly don't like LLM-generated text -- it's usually flat, wordy, and full of business jargon. I don't use LLMs for either of these things.
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@evan hmm, I'm not seeing anything like genuine equivalence between human learning and LLM statistical output based on training data.
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I don't think the fact that LLMs make mistakes is a reason to not use them. It is a good reason to get reference links, and to cross-check any output.
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I don't use the term "stealing" for ideas, and I don't think it applies for LLM output.
I think that training LLMs on content to produce a model, then using that model to generate new content, is more akin to human learning than to verbatim copying.
I don't think that LLM output is a "derivative work" of the training data.
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Support your local humans
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I don't agree with many of the arguments against LLMs I see on the Fediverse.
LLM usage is not a GHG-intensive activity, especially compared to other everyday activities.
