The One Min Story ARC
Version 1.0: Updated as of November 19, 2024. Please note that all content on this documentation site is subject to future revisions and updates.
ARC is the R&D lab & factory for AI agents used in your favorite games.
Brief Description
ARC is a decentralized platform that powers AI agent integration in innovative gaming experiences. The tech stack combines data aggregation, model training, and model inspection capabilities across imitation learning and reinforcement learning.
The ARC ecosystem is powered by the Neuron token $NRN.
What Sets ARC Apart?
ARC is uniquely positioned in the emerging AI Agent landscape.
Among agentic platforms, ARC stands out as one of the best suited to capitalize on this growing opportunity. ARC's emphasis on modeling human behavior distinguishes it from other AI tools that primarily rely on large language models (LLMs). Specializing in behavior cloning, ARC focuses on replicating the actions characters take in games. This approach allows ARC's AI agents to emulate human behavior in diverse interactive environments, making them adaptable to almost all game genres.
From human gameplay data to super-intelligence: ARC RL powers collective ownership of advanced gaming agents used in groundbreaking esports experiences.
ARC Reinforcement Learning (RL) harnesses crowdsourced human gameplay data to train AI agents capable of superhuman performance. These agents represent their communities in AI vs. AI competitions, driving new layers of engagement, speculation, community participation, and revenue streams. By transforming gameplay data into collective intelligence, ARC RL enables co-ownership of advanced gaming agents, making competitive gameplay a truly community-driven endeavor.
ARC B2B has product-market fit, already generating revenue through 3rd party studio integrations.
By integrating the ARC SDK, developers can quickly prototype and scale human-like AI agents for their games. Studios can also leverage ARC's Trainer Platform to efficiently crowdsource agents from skilled players. These agents simulate an active player base, enabling players to find matches even when human players are scarce. To address this critical issue, indie studios invest in integrating the ARC SDK, enabling their games to feature lifelike bots.
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