[–] 1 point 13 hours ago

Kinda but not really, humans brains do a hell of a lot more then any machine learning system around today.

For one human brains provide their own training data. They don't clean it, they don't have a "right" answer to verify off of. But they still learn. How?

There's lots of questions, but despite the name current neural networks are really naive approximations of what the human brain is doing. A fancy party trick in comparison.

  • source
  • parent
  • context
  • [–] 1 point 18 hours ago (2 children)

    Well barring any weird things like a soul, the human brain is a physical object in the world. So any and all of its abilities should be replicatable. Perhaps not with the computer architecture we have but possibly some other way.

    So using the brain as inspiration basically. Seeing how it reasons and using what is learned there to build a synthetic system.

  • source
  • parent
  • context
  • [–] 16 points 2 days ago (9 children)

    I do bring it up every case and even if I didn't this case it's an important distinction. Artificial intelligence is a marketing term used to conjure images of Jarvis and what not in people heads.

    Video games companies never claimed to have near sentiment AGI baked into their games that would replace all human workers or blow up the world.

    The term artificial intelligence is used to anthropomorphize LLMs as weird as that seems.

    It is an important distinction. These are large language models, not reasoning models, not AGI, not artificial life not artificial intelligence.

    I know that term as been used by the machine learning community in the past to mean things like decision trees and general models, and it didn't really matter much then but it matters A LOT now.

    Words have meanings. This isn't arguing semantics, it's using words as they are intended so we can communicate effectively about something in the world. To argue otherwise is naive, dishonest, and quite honestly just annoying.

  • source
  • parent
  • context
  • view more: next ›