That has always been the two big problems with AI. Biases in the training, intentional or not, will always bias the output. And AI is incapable of saying "I do not have suffient training on this subject or reliable sources for it to give you a confident answer". It will always give you its best guess, even if it is completely hallucinating much of the data. The only way to identify the hallucinations if it isn't just saying absurd stuff on the face of it, it to do independent research to verify it, at which point you may as well have just researched it yourself in the first place. AI is a tool, and it can be a very powerful tool with the right training and use cases. For example, I use it at a software engineer to help me parse error codes when googling working or to give me code examples for modules I've never used. There is no small number of times it has been completely wrong, but in my particular use case, that is pretty easy to confirm very quickly. The code either works as expected or it doesn't, and code is always tested before releasing it anyway. In research, it is great at helping you find a relevant source for your research across the internet or in a specific database. It is usually very good at summarizing a source for you to get a quick idea about it before diving into dozens of pages. It CAN be good at helping you write your own papers in a LIMITED capacity, such as cleaning up your writing in your writing to make it clearer, correctly formatting your bibliography (with actual sources you provide or at least verify), etc. But you have to remember that it doesn't "know" anything at all. It isn't sentient, intelligent, thoughtful, or any other personification placed on AI. None of the information it gives you is trustworthy without verification. It can and will fabricate entire studies that do not exist even while attributed to real researcher. It can mix in unreliable information with reliable information becuase there is no difference to it. Put simply, it is not a reliable source of information... ever. Make sure you understand that.

Very interesting paper, and grade A irony to begin the title with “delving” while finding that “delve” is one of the top excess words/markers of LLM writing. Moreover, the authors highlight a few excerpts that “illustrate the LLM-style flowery language” including By meticulously delving into the intricate web connecting […] and […], this comprehensive chapter takes a deep dive into their involvement as significant risk factors for […]. …and then they clearly intentionally conclude the discussion section thus We hope that future work will meticulously delve into tracking LLM usage more accurately and assess which policy changes are crucial to tackle the intricate challenges posed by the rise of LLMs in scientific publishing. Great work.

Your response is: want to be more productive? Replace the CEO and pointless middle management with Ai! Image how much money the shareholders would save!

theyll only stop selling politicians and block that

Tokyo banned diesel motors in the late 90s. As far as I know that didn't kill Toyota. At the same time European car makers started to lobby for particle filters that were supposed to solve everything. The politics who where naive enough to believe them do share responsibility, but not as much as the european auto industry that created this whole situation. Also, you implies that laws are made by politicians without any intervention of the industries whatsoever. I think you know that it is not how it works.

Yes i'm looking for erp system like sap