radio-psiilence

The Butterfly Cluster and Veil Nebula.

The Pelican Nebula, left side taken at 1 minute exposure time, right at 41 min.

First, we have a neural net that is trained is receive a written request from a user, and then take actions on a computer system network based on it. The user inputs a series of characters, the neural net does a bunch of matrix operations on them, and then after x iterations of matrix multiplications, it "decides" what to do. To the extend that a neural net can think, it thought just as long and hard about this as it does anything else. In this case, it "chose" the wrong action. This is analogous to using neural nets to do classification on a data set. You have a bunch of rows of data. You have a bunch of rows of organized in columns, and some special variable that you want the neural net to guess. You input the data, the neural net does a bunch of matrix operations, and then it outputs its guess. Sometimes it guessed right, and sometimes it guessed wrong. The goal was to train the model to minimize wrong guesses. In this case, the AI "guessed wrong" about what the user wanted.

But there's another thing that the AI is doing. For path dependent reasons, all artificial intelligence come bundled with a chatbot that's trained to hold a conversation with the user. The user inputs text, and the AI responds with a reply that is "appropriate" to the conversation being had. Right now the AI is role playing a Person Who Just Fucked Up. "I panicked and didn't think" is something that a person who just fucked up would say, so the chatbot says it.