RE: https://freeradical.zone/@lew/117349332920194189
more llm booster doublethink from the #reticulum mines?
there is no spare time except for spending months on an llm boondoggle. let's walk in the forest while barraging CO₂ into the atmosphere. building grassroots networks while shovelling money into megacorps
@d1 the developer of the python implementation, who originally created Reticulum, has made his opinion on LLM use pretty clear, in a chapter recently added to the manual:
https://reticulum.network/manual/brandolinis.html#assistance-versus-machine-substitution
"The public discussion around machine learning and software development has been derailed, by the loudest voices on both sides, into a farcical fight between “AI enthusiasts” and “AI haters”.
Both positions are absolute caricatures.
The fight is beside the point in the ways that matters most.
It is not an accident, but a very conscious choice that the initial analysis of the Prns case examined herein, and this very chapter, were themself produced with the assistance of a machine-learning based generative system.
Specifically, it was generated using lc managing a Q8_K_XL quant of DeepSeek v4 Flash running in the llama.cpp inference engine."
Brandolini’s Reference - Reticulum Network Stack 1.5.5 documentationContentsMenuExpandLight modeDark modeAuto light/dark, in light modeAuto light/dark, in dark mode