"STP Network Unveils Thousand-Agent AI Simulation, Paving Way for Autonomous World"

Coin WorldWednesday, Mar 5, 2025 2:05 am ET

1min read

STP Network, soon to rebrand as AWE Network, has made a significant stride towards the realization of an "autonomous world" by unveiling a demo of a Thousand-Agent AI Simulation at the ETH Denver conference. This breakthrough in multi-agent simulation marks a new era in the development of intelligent, decentralized systems.

The demo, a collaboration with Stanford computer science Ph.D. candidate Zhiqiang Xie, expands upon his latest paper on the AI Metropolis scaling solution. It successfully scaled the classic "Stanford Town" experiment from 25 Agents to thousands, reducing operating costs by four times. This achievement paves the way for the scalable application of large-scale multi-agent simulation in the Web3 ecosystem.

STP Network's rebranding to AWE Network, following a DAO vote, reflects its commitment to developing the "Autonomous Worlds Engine." This engine aims to facilitate intelligent agent interaction verifiability and decentralized economic systems through blockchain technology. By doing so, STP Network is driving the advancement of autonomous systems and their integration into the Web3 ecosystem.

The Thousand-Agent AI Simulation demo showcases STP Network's dedication to pushing the boundaries of multi-agent simulation. By breaking through the scale bottleneck of traditional multi-agent simulations, STP Network is bringing the autonomous world one step closer to reality. As the technology continues to evolve, it will be interesting to see how these advancements shape the future of decentralized systems and their impact on various industries.

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