Mirror crafts an iron pickaxe in Minecraft with no rewards: video plans as robot policies

vincesitzmann · x · 2026-10-20

The Mirror team argues embodied AI has been over-obsessed with "action." If video models scale like LLMs, they can generate perfect video plans for any embodied task—Mirror simply learns to follow those plans through practice, with no rewards or action labels, crafting an iron pickaxe in Minecraft.

The companion thread predicts this "video model plans, behavior cloning executes" combo will revive arm-farms, as LLMs and video models make exploration sample-efficient enough.

Related event: MIT's Mirror: video models as planners, agents learn from experience without rewards(7 posts)→

Original post →

More from Embodied

Embodied channel →