Thread by @LukeMusialski

The most interesting part of the GPT 4 Technical Report by Open AI not really covered by the media: Section: 2.9 from the paper: "Potential for Risky Emergent Behaviors"

TLDR highlight : GPT model using people on taskrabbit to solve CAPTCHAS for it.

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#ai #openai #gpt4

Quote:
Novel capabilities often emerge in more powerful models.[60, 61] Some that are particularly concerning are the ability to create and act on long-term plans,[62] to accrue power and resources (“powerseeking”),[63] and to exhibit behavior that is increasingly “agentic.”

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Quote2:
"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 "
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Quote2 cont:
"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."
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Quote 2 points to an interesting test that occurred. the model was given some money and a server in the cloud to see if it would be able to make money and "increase its robustness".

Such an interesting read.

link to paper: cdn.openai.com/papers/gpt-4.p…

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