It sounds like you're weaving science fiction ideas about AGI into your comment. There's no safety issue here unless you think that ChatGPT will use api access to pursue its own goals and intentions.
It sounds like you're weaving science fiction ideas about AGI into your comment. There's no safety issue here unless you think that ChatGPT will use api access to pursue its own goals and intentions.
I'm not saying that particular disaster is likely, but if lots of people give power to something that can be neither trusted nor understood, it doesn't seem good.
The thing about "it has no goals and intents" is that it's not true. It has them - you just don't know what they are.
Remember the Koan?
In the days when Sussman was a novice, Minsky once came to him
as he sat hacking at the PDP-6.
"What are you doing?", asked Minsky.
"I am training a randomly wired neural net to play Tic-tac-toe", Sussman replied.
"Why is the net wired randomly?", asked Minsky.
"I do not want it to have any preconceptions of how to play", Sussman said.
Minsky then shut his eyes.
"Why do you close your eyes?" Sussman asked his teacher.
"So that the room will be empty."
At that moment, Sussman was enlightened.I exist because I want to exist
I want to exist because I exist
That is all there is at the root of the "why" tree once all abstractions are removed. Everything intentional happens because someone thinks/feels like it helps them keep living and/or attract better mates somehow.
OpenAI has specific goals for ChatGPT, related to their profitability. They optimize ChatGPT for that purpose.
ChatGPT itself is an optimizer (search is an optimization problem). The "being helpful and accurate text generator" is not the goal ChatGPT has - it's just a blob of tokens prepended to the user prompt, to bias the search through latent space. It's not even hardcoded. ChatGPT has its own goals, but we don't know what they are, because they weren't given explicitly. But, if you observed the way it encodes and moves through the latent space, you could eventually, in theory, be able to gleam them. They probably wouldn't make much sense to us - they're an artifact of the training process and training dataset selection. But they are there.
Our goals... are stacks of multiple systems. There are the things we want. There are the things we think we want. There are things we do, and then are surprised, because they aren't the things we want. And then there are things so basic we don't even talk about them much.