> If "this is the last game for Alex Morgan" wasn't included as any part of the input/prompt, how on earth could the AI summary have come up with this for inclusion in the game recap?
It couldn't, which is the problem. One of the big selling points of generative AI is to cut people out of the process of writing. If someone actually has to watch the game and describe what happened in the prompt, what's the point of the technology at all?
This is what an application of generative AI looks like: using low-quality input to generate something that looks like an article. This is our glorious future, brought to you by OpenAI.
I'm sure the fact that this would be Morgan's last game was somewhere out there on the Internet, and certainly should have been part of the training data, in which case I would guess that a more nuanced prompt to the AI could have elicited a more robust output.
LLM's general knowledge is trained on data that's months old (or longer). Alex Morgan only announced her retirement a few days ago, so in order for the AI to know about it, someone would need to pick out recent, relevant articles about her and feed it to the generator.
And even then, it's unclear that the AI would be smart enough to identify "retirement" as something that should be called out in the new article without specific prompting.
It couldn't, which is the problem. One of the big selling points of generative AI is to cut people out of the process of writing. If someone actually has to watch the game and describe what happened in the prompt, what's the point of the technology at all?
This is what an application of generative AI looks like: using low-quality input to generate something that looks like an article. This is our glorious future, brought to you by OpenAI.