@reelbyte

CEO @bitreel; big fan of pirates

 Boston, MA
Joined November 2010
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32Media
Alignment question: should we replace LLM training data with a corpus of information for what we want the world to be? And then optimize parameters to maximize the likelihood of this training data?
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Is the goal of everything in the universe to gather as much information as possible?
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Surprise = more information
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In a world of super intelligence, is the new “adaptation tactic” for humans to stay relevant (via-a-vis other humans… not super intelligence) the ability to change?
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Meaning the most successfully humans from this point on will be those who can change at the greatest rate (in a sustainable way)
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Biggest question I can think of: How to couple computation with autodidactism?
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Also is there a hint in the spelling of the word… “did act”?
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Is a proactive nature the key?
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Statement: the only thing that separates a sentient being from a non-sentient being is the ability to set goals
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Though of course LLMs will be extremely helpful in assisting us with the execution of those goals
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So it seems to be a nod towards symbiotic relationship between humans/LLMs (computational AI)
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Hypothesis: LLM don’t need to be able to predict like a world model would, if your goal is to focus on achieving goals in modern society.
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This is because humans are not rational, and so the ground truth to strive for is not “predict what will happen in the real world” but how would a human react.
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And LLM have a large enough corpus of human data to be able to determine how a human would react better than humans themselves.
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“Short-term memory” and “long-term memory” (for both biological and artificial/computational systems) is a misnomer. Time is not the variable we should be focused on. Memory isn’t time-bound in the way most of us think. Instead, there is just working memory.
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Everything else (what we’d refer to as “long-term memory) is just a database. Storing information in a database is a solved issue.
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The issue at hand is retrieval of information into working memory so we (biological + computational intelligence) can make good decisions, and take proper actions.
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I agree with folks saying with should call it “CI” (computational intelligence) not “AI” (artificial intelligence). The knowledge is still “us” — so the artificial part seems like a misnomer.
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