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Pantograph

An applied research lab building generally intelligent, affordable/scalable robots, combining custom low-cost hardware with internet-scale video pretraining.
AI Native
Yes
Number of tools
0
Number of models
1
Number of employees
6
Valuation
$50MAI

Models

  • Pan-4B is a 4 billion parameter goal-conditioned agent from Pantograph that plays Minecraft. It is pretrained on about 500,000 hours of internet Minecraft gameplay video using a goal-conditioning method, then post-trained on roughly 2,000 hours of contractor action data. Given a single goal image at inference time, it pursues diverse, previously unseen objectives such as building structures, exploring, and fighting mobs without additional training.
    NewMultimodal
    Released 1d ago
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