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

    Irving Sees Hope in Machine-Aided Alignment Research

    UK AISI chief scientist Geoffrey Irving outlines one path for alignment research on short timelines.

    GI
    1 Source, 26d ago, first seen 26d ago

    TLDR

    Geoffrey Irving, Chief Scientist at the UK AI Security Institute, replied that recent models handle both prose and formal mathematics well. He described a third hope for conceptual alignment research: humans assign as many subtasks as possible to machines. Irving stated this approach could stay meaningful even under short timelines, drawing on his earlier roles at DeepMind, OpenAI, and Google Brain.

    Combined views

    548

    1 Source, first seen 26d ago

    Combined views

    548

    1 Source, first seen 26d ago

    20 likes
    20 likes
    1 comments
    1 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 comments
    1 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

    1 Source

    @geoffreyirvingRecent models are very good at both prose and formal mathematics. So the third hope is that humans doing conceptual alignment research with as many possibly subtasks handed down to machines is fast enough to be meaningful, even on short timelines.

    1 Source

    @geoffreyirvingRecent models are very good at both prose and formal mathematics. So the third hope is that humans doing conceptual alignment research with as many possibly subtasks handed down to machines is fast enough to be meaningful, even on short timelines.