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AI researchers propose recursive forecasting to elicit long-term predictions from myopic models

A new proposal called "recursive forecasting" aims to elicit accurate long-term predictions from AI models that are primarily optimized for short-term rewards. Instead of asking for a distant outcome directly, the method involves asking the AI to predict its own future predictions, using these intermediate predictions to provide rewards. This process creates a chain of short-horizon forecasts that are verifiable, ultimately leading to a more reliable long-term forecast. The approach is detailed in a post by Arun and Alex, with contributions from several other researchers. AI

IMPACT This method could improve the reliability of AI forecasts for long-term planning and decision-making.

RANK_REASON This is a research paper proposing a new method for AI alignment.

Read on LessWrong (AI tag) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI researchers propose recursive forecasting to elicit long-term predictions from myopic models

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COVERAGE [2]

  1. Alignment Forum TIER_1 English(EN) · Jozdien ·

    Recursive forecasting: Eliciting long-term forecasts from myopic fitness-seekers

    <p><span>We’d like to use powerful AIs to answer questions that may take a long time to resolve. But if a model only cares about performing well in ways that are verifiable shortly after answering (e.g., a myopic </span><a href="https://www.lesswrong.com/posts/bhtYqD4FdK6AqhFDF/f…

  2. LessWrong (AI tag) TIER_1 English(EN) · Jozdien ·

    Recursive forecasting: Eliciting long-term forecasts from myopic fitness-seekers

    <p><span>We’d like to use powerful AIs to answer questions that may take a long time to resolve. But if a model only cares about performing well in ways that are verifiable shortly after answering (e.g., a myopic </span><a href="https://www.lesswrong.com/posts/bhtYqD4FdK6AqhFDF/f…