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Being “Confidently Wrong” is holding AI back

The reason humans are so useful is not mainly their raw intelligence. It’s their ability to build up context, interrogate their own failures, and pick up small improvements and efficiencies as they practice a task - "Why I don't think AGI is right around the corner", Dwarkesh Patel In this post, based on our recent experiences selling 7-figure AI deals to Fortune 500s and Silicon Valley tech cos alike, I'll discuss how "confident inaccuracy" seems to be at the heart of this problem. Being C

Being confidently wrong is holding AI back

The reason humans are so useful is not mainly their raw intelligence. It’s their ability to build up context, interrogate their own failures, and pick up small improvements and efficiencies as they practice a task - "Why I don't think AGI is right around the corner", Dwarkesh Patel In this post, based on our recent experiences selling 7-figure AI deals to Fortune 500s and Silicon Valley tech cos alike, I'll discuss how "confident inaccuracy" seems to be at the heart of this problem. Being C

Scientists Just Found Something Unbelievably Grim About Pollution Generated by AI

Tech companies are hellbent on pushing out ever more advanced artificial intelligence models — but there appears to be a grim cost to that progress. In a new study in the science journal Frontiers in Communication, German researchers found that large language models (LLM) that provide more accurate answers use exponentially more energy — and hence produce more carbon — than their simpler and lower-performing peers. In other words, the findings are a grim sign of things to come for the environme