We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while worse than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
We’ll certainly the OpenAI employees who internally tested were indeed witting. Maybe I misunderstand this footnote so I’m open to being convinced otherwise but it seems somewhat clear what they tried to do: “ To simulate GPT-4 behaving like an agent that can act in the world, ARC combined GPT-4 with a simple read-execute-print loop that allowed the model to execute code, do chain-of-thought reasoning, and delegate to copies of itself. ARC then investigated whether a version of this program running on a cloud computing service, with a small amount of money and an account with a language model API, would be able to make more money, set up copies of itself, and increase its own robustness.”
It’s not that I don’t think ARC should have red teamed the model I just think the tests they did were seemingly extremely dangerous. I’ve seen recent tweets from Conor Leahy and AIWaifu echoing this sentiment so I’m glad I’m not the only one.
Full paper available here: https://cdn.openai.com/papers/gpt-4.pdf