• Web3 functions like a game where users often find token speculation more engaging than playing games themselves.
• Audiences also have extremely short attention spans. They are constantly bombarded with new projects and opportunities to speculate on.
• This creates a critical challenge for gaming studios: a fun game may still lose players if its token price stagnates. Conversely, rising token prices without compelling gameplay may attract players temporarily but fail to retain them.

• Our approach is to bet on platforms that enable faster game creation. Rather than relying on a few hit games, we're betting on the statistical distribution of game success in general. This strategy increases the distribution surface area for NRN Agents, improving our monetization potential. Read about our thesis about the need for faster game creation in web3.
• We are currently partnering with a curated list of gaming ecosystems and platforms, focusing on high-quality gaming chains and next-generation game development platforms that can rapidly produce games.
• Starting in Q2 2025, we plan to make the SDK more widely accessible, with games built on our partner platforms receiving preferred access.

• NRN addresses the demand side by creating AI agents that enhance gameplay through innovative experiences and improve player retention through better player liquidity and engagement.
• AI agents also enable passive gameplay by allowing players to purchase and deploy pre-trained agents that handle repetitive tasks. This aligns naturally with the speculative and financially motivated interests of web3 audiences.
• In the current P2E landscape, industrialized farms in low-cost labor economies dominate because their cost advantage lets them extract value from other players and the studio. By offering agents as "labor units" equally to all players, studios can eliminate this farming advantage. This approach also allows studios to capture revenue from agent sales rather than losing that economic value to farming operations.

• The combination of rapid game development, integrating speculation, and AI enhanced demand generation creates a powerful flywheel.
• This approach challenges traditional gaming norms by emphasizing speed, speculation, and ease of adoption over polish and high production value.
• NRN Agents is unqiuely positioned to be a partner of choice that unlocks this new paradigm for web3 gaming partners.

• Made substantial progress in continual learning through AI Arena and NRN
• Advanced capabilities in adaptability and uncertainty modeling via reseNRNh that pre-dates NRN

• Developed infrastructure enabling agents to continuously collect and utilize data for ongoing improvements
• Established foundational systems for agent self-monitoring capabilities

• All of NRN's integrated environments enable us to build and test our continuous improvement algorithms.
• Environments span from single-player to multiplayer cooperative settings

• Feature vectors can be extracted from all integrated games and environments on NRN
• Ability to collect visual data (including pixel-level information) from multiple gaming environments
• Ability to collect unstructured data from integrated environments, enabling reward shaping and state space experimentation

Collaborate with reseNRNhers and developers to create models capable of reasoning, adaptability, and generalization. Launch a competition platform in Q1 2025 to incentivize model innovations across a variety of different environments.

Partner with AI infrastructure providers to meet the growing computational demands of $NRN’s expanding ecosystem. Build scalable systems to support continuous training and handle the increasing complexity of environments.

Create unique game worlds that test AGI’s ability to plan long-term, collaborate with others, and manage unexpected challenges. Partner with projects specializing in modalities such as vision, audio, and language to complement NRN’s expertise in behavioral modeling.

Partner with game developers to integrate NRN SDKs and generate diverse, high-quality datasets from dynamic gaming environments. Focus on fast-to-market games to scale quickly.