Does someone have more context as why this is so “insane”? Yes understandably there is randomness / non-deterministic nature to these generative models. But what does this mean to you as user? What’s so compelling about this particular scenario? Maybe you discover that some apps are just wrappers around another API.
What’re some other angles to this that make this a good post for discussion?
The insane part is how we’ve been conditioned to interpret the most banal, 0-entropy strings as “cutting edge AI”, to the extent we get surprised when two supposedly different models emit the same (lack of) content.
Seriously, look at the response. It’s the exact sort of thing the top 150 blogspam results on Google would all say if you were to ask the same question.
The models behind these products, Claude 3 Sonnet, and Inflection-2.5 are ostensibly completely separate models, trained independently. It is hard enough to get the same model to produce the same result twice at temp>0, so it’s pretty suprising that two separate models would give the same result word for word, at such length!
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[ 3.3 ms ] story [ 24.9 ms ] threadWhat’re some other angles to this that make this a good post for discussion?
Seriously, look at the response. It’s the exact sort of thing the top 150 blogspam results on Google would all say if you were to ask the same question.