Having spent significant time implementing machine learning papers before the LLM age, I can promise you over 90% of papers you'll find are full of shit. The cl

Having spent significant time implementing machine learning papers before the LLM age, I can promise you over 90% of papers you'll find are full of shit. The claims they make are true in only the most contrived of circumstances and don't hold up under any kind of scrutiny. How exactly they came to these lies (data lies, result lies, omitting lies) is really immaterial. The concept everyone is apparently struggling with is that producing a paper that is entirely lies is not doing the scientific world a disservice: It is not unusual and already happens at scale. Making it even easier might motivate someone to actually figure out a way to ensure papers are reproducible and not full of shit. In essence this is a good thing.