ARC PRIZE - Win $1Million to Beat the ARC-AGI benchmark

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  • เผยแพร่เมื่อ 14 พ.ย. 2024

ความคิดเห็น • 10

  • @danieldossantos5868
    @danieldossantos5868 2 หลายเดือนก่อน +1

    Great explanation, you just got another subscriber.

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w 4 หลายเดือนก่อน +3

    Great analysis and content

  • @rohitjindal1246
    @rohitjindal1246 4 หลายเดือนก่อน

    Great content Harshit !

  • @ScottzPlaylists
    @ScottzPlaylists 3 หลายเดือนก่อน

    It's not a million to beat benchmark like your video title and it's only if you get over 85% in 12 hours of your notebook running during the contest. And it's distributed among the top entries, not all to one winner.

  • @SlowerThanYouCanThink
    @SlowerThanYouCanThink 3 หลายเดือนก่อน

    So essentially they are asking for a full pledge JARVIS under 1 million USD and that too will be distributed partially.😂

  • @geospatialindex
    @geospatialindex 4 หลายเดือนก่อน

    The ability to learn a new skill is not intelligence. Intelligence is many things but mainly applications of different types of reasoning then memorizing the results of that reasoning so you develop knowledge.

    • @szebike
      @szebike 3 หลายเดือนก่อน +1

      The point of the creator was that only truly intelligent systems can synthesize the rules necessary "on the fly" to solve it which is IMO not possible with transformer based models.

    • @AlexKen-zv8mm
      @AlexKen-zv8mm หลายเดือนก่อน

      no, fuck memorization, I want that thing generate solution on the fly without any training on previous examples

  • @szebike
    @szebike 3 หลายเดือนก่อน

    Brute forcing this proves nothing. Like the creator of the benchmark said only if you train your AI on general knowledge and rules and it still can then solve it it is a hint to intelligence. He also mentioned that it may be possible to train an transformer based model on this test but it wouldn't properly count as "solved" if it does which is true. If an AI can't solve this in a zero shot manner its not intelligent in my opinion (sure intelligence is very vague term but if you think an LLM is intelligent then a toaster or a calculater has its form of intellgience too according to that logic).