There is no biology here, and there are so many other words that describe perfectly what they are doing here, without twisting the meaning of another word.
In the same way, a weather forecast model using a lot of complicated differential equations is not biological. A finite element model analyzing some complicated electromagnetic field, or the aerodynamics of a car is not biological. Just because someone around 70-75 years ago called them 'perceptrons' or 'neurons' instead of thingamajigs does not make them biology.
Rygian•3mo ago
I wonder why they focused specifically on a task that is already solved algorithmically. The paper does not seem to address this, and the references do not include any mentions of non-LLM approaches to the line-breaking problem.
omnicognate•3mo ago
It makes it tedious to figure out what they actually did (which sounds interesting) when it's couched in such terms and presented in such an LLMified style.
dist-epoch•3mo ago
like the difference between Unicode code-points and UTF-8 bytes, you can't just count UTF-8 bytes to know how many code-points you have
omnicognate•3mo ago
Legend2440•3mo ago
The point is to see how LLMs implement algorithms internally, starting with this simple easily understood algorithm.
Rygian•3mo ago
catgary•3mo ago
The biology metaphor they make is interesting, because I think a biologist would be the first to tell you that you need more than one datapoint.