So it's important to understand what is machine learning, which is what ChatGPT is based off. At it's core, machine learning is a giant probability calculator. The way it works is you feed a ML architecture input data (called 'training') and the computer then computes all these probabilities to generate the ML model. Then when you go back and ask a question, it can figure out based on probabilities what to spit out. Indeed in something called a neural network, we often have many interconnecting nodes of linear regression models (technically ReLU), your basic y=mx+b from high school. (note ChatGPT isn't a NN but rather a LLM, but the point on probability still stands)
Why is this relevant? For one thing, it is dependent on what you train it. In the early days of creating ChatGPT, it was fed off the internet. However, the internet is filled with incredibly sexist/racist/immature behavior so the computer used those probabilities in its model. When prompted with any question, it was very likely that at some point you'd get a creepy AI writing back to you.
All of this is in response to you:
a) machines do not think. It doesn't decide what you do or don't do; it just imitates what others have done (based off probabilities)
b) it's not going to show you that because early work found it to be very detrimental to the ML model so people manually removed any sensitive information.
georgiedawn t1_j7bj58t wrote
Reply to What happens when the AI machine decides what you should know? by RamaSchneider
So it's important to understand what is machine learning, which is what ChatGPT is based off. At it's core, machine learning is a giant probability calculator. The way it works is you feed a ML architecture input data (called 'training') and the computer then computes all these probabilities to generate the ML model. Then when you go back and ask a question, it can figure out based on probabilities what to spit out. Indeed in something called a neural network, we often have many interconnecting nodes of linear regression models (technically ReLU), your basic y=mx+b from high school. (note ChatGPT isn't a NN but rather a LLM, but the point on probability still stands)
Why is this relevant? For one thing, it is dependent on what you train it. In the early days of creating ChatGPT, it was fed off the internet. However, the internet is filled with incredibly sexist/racist/immature behavior so the computer used those probabilities in its model. When prompted with any question, it was very likely that at some point you'd get a creepy AI writing back to you.
All of this is in response to you:
a) machines do not think. It doesn't decide what you do or don't do; it just imitates what others have done (based off probabilities)
b) it's not going to show you that because early work found it to be very detrimental to the ML model so people manually removed any sensitive information.