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RSI Lab scales up to connect AI agents with world models and robotics

The RSI Lab in Tokyo, Japan, is scaling up its operations to explore how AI agents can learn within world models. This initiative aims to connect recursive self-improvement with advancements in physical AI and robotics. The lab is actively seeking experienced researchers and engineers to join their team. AI

IMPACT This initiative could lead to more advanced AI agents capable of learning and interacting with the physical world.

RANK_REASON The item describes a research lab scaling up to explore new AI capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Bluesky Jetstream — AI desk →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

RSI Lab scales up to connect AI agents with world models and robotics

COVERAGE [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · hardmaru.bsky.social ·

    I’ve been thinking about how agents can learn inside world models for years. We decided to scale up our RSI Lab to bridge recursive self-improvement with physic

    I’ve been thinking about how agents can learn inside world models for years. We decided to scale up our RSI Lab to bridge recursive self-improvement with physical AI and robotics. We are looking for frontier researchers and engineers to join us in Tokyo, Japan: sakana.ai/careers…