This content originally appeared on DEV Community and was authored by Paperium
How AI is Learning to Build Its Own Robots
What if a computer could design its own robot? Scientists have discovered that today’s large language models—those chatty AI systems—can be taught to act like tiny engineers.
Using a video‑game‑style playground called BesiegeField, the AI picks up virtual LEGO bricks, snaps them together, and watches the creation crawl, roll, or lift objects in a simulated world.
The test shows that the AI needs a mix of spatial sense, clever planning, and the ability to follow step‑by‑step instructions—just like a human builder.
Early experiments reveal that current open‑source models still stumble, but by adding a dash of reinforcement learning, they start to improve, learning from trial and error much like a child learning to ride a bike.
Imagine future machines that can design better tools for us, or even craft custom gadgets on demand.
This breakthrough hints at a future where creativity isn’t just human‑only, opening doors to smarter, self‑assembling technology that could reshape everyday life.
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Read article comprehensive review in Paperium.net:
Agentic Design of Compositional Machines
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
This content originally appeared on DEV Community and was authored by Paperium
Paperium | Sciencx (2025-11-07T19:40:33+00:00) Agentic Design of Compositional Machines. Retrieved from https://www.scien.cx/2025/11/07/agentic-design-of-compositional-machines/
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