• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    AI

    Meta's Alexandr Wang says AI agent swarms can accomplish more than a team of 100 engineers in some cases

    Wang ties the claim to specific conditions: the right agentic loop, evaluation system and metric for the agents to optimize.

    YM
    RP
    3 Sources, ,

    TLDR

    Meta chief AI officer Alexandr Wang says the company has seen cases where a swarm of AI agents can accomplish more than a team of 100 engineers—with the right agentic loop, evaluation system and metric to optimize. A post sharing the quote says Wang was speaking with Y Combinator CEO Garry Tan at Startup School 2026.

    Combined views

    496K

    3 Sources, first seen 19d ago

    Combined views

    496K

    3 Sources, first seen 19d ago

    2.3K likes
    19d ago
    first seen 19d ago
    2.3K likes
    99 comments
    1.8K saves
    284 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    99 comments
    1.8K saves
    284 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    3 Sources

    @rohanpaul_aiMeta's chief ai officer @alexandr_wang : "Internally at Meta, we have seen cases where, if you develop the right agentic loop and have the right evaluation system and metric for the agents to optimize, a swarm of agents can accomplish more than a team of 100 engineers. They can do it very handily, actually, very easily." Alexandr Wang was talking to CEO of Y Combinator @garrytan at Y Combinator Startup School 2026 ---- full video link in comment
    @YiMaTweetsComputer scientists discover the power of *closed loop* and *error correction*! I have advocated for many years by now that all intelligent systems would be closed-loop, not open end-to-end. This has been the very basic lesson from Cybernetics (control theory and systems theory), originated more than 80 years ago. This view has been prominently featured in our open-sourced new book about the principles of intelligence: https://ma-lab-berkeley.github.io/deep-representation-learning-book/

    3 Sources

    @rohanpaul_aiMeta's chief ai officer @alexandr_wang : "Internally at Meta, we have seen cases where, if you develop the right agentic loop and have the right evaluation system and metric for the agents to optimize, a swarm of agents can accomplish more than a team of 100 engineers. They can do it very handily, actually, very easily." Alexandr Wang was talking to CEO of Y Combinator @garrytan at Y Combinator Startup School 2026 ---- full video link in comment
    @YiMaTweetsComputer scientists discover the power of *closed loop* and *error correction*! I have advocated for many years by now that all intelligent systems would be closed-loop, not open end-to-end. This has been the very basic lesson from Cybernetics (control theory and systems theory), originated more than 80 years ago. This view has been prominently featured in our open-sourced new book about the principles of intelligence: https://ma-lab-berkeley.github.io/deep-representation-learning-book/