I actually did have a vague idea in that general direction.
But that’s rather beside my point. I mean, the AI definitely offered these answers. The answers are definitely gender biased. Offering that it’s merely an artifact of the LLM technology is definitely a terrible excuse for that.
And given that LLMs are well known to be tweaked to align better with the philosophical styles of the hour, doubly so.
So, once again, you double down. No, you obviously didn’t know that, and clearly still don’t actually understand it, since you’re claiming it was engineered to push a narrative (what narrative you won’t say, but i bet it rhymes with bliss gandry).
Lastly, it’s not an “excuse”. It’s an explanation. Calling it an “excuse” is just another attempt to deflect the answer and avoid being wrong.
Well given that the bias is generally considered a bad thing, explanations absolving them of responsibility for the badness are what is generally called an “excuse”.
Let’s rewind to before that desperate (and likely spontaneous) accusation, and I’ll give you another chance to reply in a normal manner.
No deflection. Just admit you didn’t know LLMs scrape social media. That’s all. It’s okay; we don’t come into this world with all of its knowledge.
I actually did have a vague idea in that general direction.
But that’s rather beside my point. I mean, the AI definitely offered these answers. The answers are definitely gender biased. Offering that it’s merely an artifact of the LLM technology is definitely a terrible excuse for that.
And given that LLMs are well known to be tweaked to align better with the philosophical styles of the hour, doubly so.
So, once again, you double down. No, you obviously didn’t know that, and clearly still don’t actually understand it, since you’re claiming it was engineered to push a narrative (what narrative you won’t say, but i bet it rhymes with bliss gandry).
Lastly, it’s not an “excuse”. It’s an explanation. Calling it an “excuse” is just another attempt to deflect the answer and avoid being wrong.
Well given that the bias is generally considered a bad thing, explanations absolving them of responsibility for the badness are what is generally called an “excuse”.
It’s not absolving them of responsibility. They’re responsible for how they train their data - it doesn’t need to be trained on social media.
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