e.g. the gospels of Matthew, Mark, Luke & John are all rephrasings of the same stories
Rabbinic teaching involved repetitive rephrasing
oral traditions in general are less about precise recitation
If you show a fact to an LLM in pre-training once, it’ll memorize the form but not the fact itself.
but if you (synthetically) rephrase the text several times, it’ll memorize the fact
arxiv.org/abs/2309.14316
e.g. the gospels of Matthew, Mark, Luke & John are all rephrasings of the same stories
Rabbinic teaching involved repetitive rephrasing
oral traditions in general are less about precise recitation
He is capitalism's full-throated assault on the utopian imaginary.
He is capitalism's full-throated assault on the utopian imaginary.
1—AI continues to accelerate at doing well at the metrics.
2—The metrics are incredibly lossy with respect to many important parts of human creative endeavors.
3—We have no collective plan on how replacement of human work will retain what the metrics lose.
1—AI continues to accelerate at doing well at the metrics.
2—The metrics are incredibly lossy with respect to many important parts of human creative endeavors.
3—We have no collective plan on how replacement of human work will retain what the metrics lose.
I had the thought a while back that part of what's so weird about LLMs is that they have some of the qualities that make humans different from other animals, but none of the ones we have in common with them
I had the thought a while back that part of what's so weird about LLMs is that they have some of the qualities that make humans different from other animals, but none of the ones we have in common with them
www.404media.co/ice-and-cbp-...
www.404media.co/ice-and-cbp-...
Also shout out to David Rokeby!👋
www.youtube.com/watch?v=ZVHf...
Also shout out to David Rokeby!👋
www.youtube.com/watch?v=ZVHf...
This calls for Improbablism in art.
This calls for Improbablism in art.
To express that which is not already in the datasets used in machine generation.
To express that which is not already in the datasets used in machine generation.
The actual lesson to draw from all this is more like "we suck at predicting the consequences of communications technologies."
The actual lesson to draw from all this is more like "we suck at predicting the consequences of communications technologies."