Large language models (LLMs) like GPT-4 can identify a person’s age, location, gender and income with up to 85 per cent accuracy simply by analysing their posts on social media.

But the AIs also picked up on subtler cues, like location-specific slang, and could estimate a salary range from a user’s profession and location.

Reference:

arXiv DOI: 10.48550/arXiv.2310.07298

  • 𝒍𝒆𝒎𝒂𝒏𝒏
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    1 year ago

    When a human solves a problem, we like to think that it occurs in discrete steps with simple goals: “First I will draw a diagram and put in the known information, then I will write the governing equations, then simplify them for the physics of the problem”, and so on.

    I wonder how our brain even comes to formulate these steps in a way we can comprehend, the amount of neurons and zones firing on all cylinders seems tiring to imagine