Deepmind 'General agents need world models' paper
Found this post by Richard C. Suwandi where he shared a blog post that discusses the new paper by Deepmind titled "General agents need world models". Below is the full post content:
2 years ago, @ilyasut made a bold prediction that large neural networks are learning world models through text.
Recently, a new paper by @GoogleDeepMind provided a compelling insight to this idea. They found that if an AI agent can tackle complex, long-horizon tasks, it must have learned an internal world model—and we can even extract it just by observing the agent's behavior.
I wrote a blog post unpacking this groundbreaking paper and what it means for the future of AGI 👇
https://richardcsuwandi.github.io/blog/2025/agents-world-models/
Will be going through the post this weekend.
Comment via email