Applications of [LLMs] have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit […]: the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions.

Donald Knuth commentary on his experimentation with Chat-GPT.

The author shares how he leveraged Chat-GPT to solve some of the CTF hacking challenges at BSides 2023.