Metacognition in LLMs?

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As the process of training Large Language Models (LLM) evolves, some interesting side-effects emerge:

One type of test to assess how well an LLM performs is to place a “needle” in an “haystack” – and ask the LLM specifically about one fact (like pizza toppings) hidden between thousands of other sentences. How did the LLM Claude 3 perform in this test? Have a look at the article form @mikeyoung44 :

https://hackernoon.com/is-agi-getting-closer-anthropics-claude-3-opus-model-shows-glimmers-of-metacognitive-reasoning

An Austrian Tech Newssite also reported days later:

https://futurezone.at/digital-life/claude-3-opus-anthropic-ki-test-erkennt-mensch-nadel-heuhaufen-openai/402810739

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