Can AI abstract the most relevant context in an article like a human reader?

Man vs. AI

We take the transcript of CNBC interviewed with Jamie Dimon on growth and economy, in verbatim and use ELAINE's symbolic logic to get the key takeaway.

ELAINE abstracts the following key takeaway:

  • "And businesses, confidence is high, they've got plenty of cash and capital. So underlying, we've had this strong economy. The numbers are jerky - inflation, growth, employment, unemployment, people going back to work, the great resignation - but that underlying stuff is paramount and is pushing you know - we're going to have, what, the best growth year we've ever had this year I think since you know, maybe sometime after - before the Great Depression"
  • "But a fairly common one is Fed raising rates to slow down the economy, overheated economy to kind of keep inflation in check. And if I remember correctly, if you look at the risk of them, some of them are just short"
  • We compared ELAINE's key takeaway with CNBC's columnist Hugh Son's key points on the same transcript, it is amazing the he would interpret the conversation as "Jamie Dimon sees the best economic growth in decades "

    Using symbolic logic, ELAINE takes a narrative and breaks it down into nexus that comprises of connected stories on the subject. ELAINE uses abstractions to label these stories and rank them by relevancy.

    From the key takeaway, we can see "plenty of cash and capital" is a result of the huge QE in recent years. Furthermore, from ELAINE's relevancy ranking, "Consumer" is ranked at the bottom. This shows that by separating Dimon's opinion from facts that he offers, there is little reason to support such optimism as inflation is running rampant

    In conclusion, one can read an article humanly and abstract the key points. Alternatively, a machine can analyze the narrative and abstract key takeaway, faster, as well as abstracting subliminal messages.


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