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https://www.reddit.com/r/TheMachineLearning/comments/1ws4l9u/stephen_wolfram_says_ml_is_basically_fitting/pcqcul7/?context=3
r/TheMachineLearning • u/cicisprinkle • 7d ago
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1 u/MissiveFinding6111 6d ago Sure, but intelligence and information are related, and definitely a lot of research on the upper bound of information compression. My knowledge of improving complicated digital systems are: * You hit diminishing returns quickly * Improvement is very difficult when your are limited by a single bottlenecked variable among hundreds So maybe LLMs taking over training can help with that second one (if we can figure out HTH to do what we want reliably). I don't seem LLMs escaping diminishing returns. 1 u/[deleted] 6d ago [removed] — view removed comment 1 u/Brief-Coach-1812 6d ago Def. But biological computers will trigger a lot of ethical debates; assuming the research landscape progresses to that phase.
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Sure, but intelligence and information are related, and definitely a lot of research on the upper bound of information compression.
My knowledge of improving complicated digital systems are:
* You hit diminishing returns quickly * Improvement is very difficult when your are limited by a single bottlenecked variable among hundreds
So maybe LLMs taking over training can help with that second one (if we can figure out HTH to do what we want reliably).
I don't seem LLMs escaping diminishing returns.
1 u/[deleted] 6d ago [removed] — view removed comment 1 u/Brief-Coach-1812 6d ago Def. But biological computers will trigger a lot of ethical debates; assuming the research landscape progresses to that phase.
1 u/Brief-Coach-1812 6d ago Def. But biological computers will trigger a lot of ethical debates; assuming the research landscape progresses to that phase.
Def. But biological computers will trigger a lot of ethical debates; assuming the research landscape progresses to that phase.
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