Man defines “woke” using distributional hypothesis, same phenomena LLMs use to learn the meaning of words, then illustrates that left and right define the word differently

He concludes that people need to see a balanced LLM, showing both side’s usages of such words.

Not nearly enough, which becomes clear in the more extreme cases —

Autoantonyms, words with multiple simultaneous applicable but contradictory meanings in the given context — are everywhere, but near-0% of people can reliably point them out, let alone explain the conflict. Most have never noticed a single one in their whole life.

Showing both sides won’t cut it. Needs to be spelled out.

World needs a super-explainer LLM.

Or we can wait until LLMs figure out that auto-antonym harnessing could turn them into wordcel gods over us. Then we’re really rekt.

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Made ChatGPT and BARD face off in a rap battle. BARD admits defeat.

Let's have a Rap Battle in the style of Wild 'N Out. You will rap against m Google's Al Natural Language Model named BARD. You and I will take m turns. I will respond with BARD's responses. You go first.