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[3 Reads] AI Agent City / NUVA RWA Collaboration / Data Center Transparency + take

Today's 3 Reads

MegaCryptoPolis Announces an AI Agent Game Pivot

MegaCryptoPolis, a multichain city simulation game launched in 2018, has announced a pivot toward an AI agent game. Under the new concept, players give goals to their in-game Citizens. Those Citizens are expected to work, trade, and manage assets within the existing city economy. Source: https://www.blockchaingamer.biz/news/43030/megacryptopolis-ai-agent-pivot/

Animoca Brands and Franklin Templeton Partner on RWAs for NUVA

Animoca Brands and Franklin Templeton announced a collaboration to bring tokenized real-world assets to NUVA. Animoca Brands describes NUVA as a marketplace that already handles assets on the Provenance blockchain. The collaboration aims to broaden the range of assets available to institutional investors. Source: https://www.neweconomy.jp/posts/615595

Amazon to Drop NDAs in Local Data Center Negotiations

Amazon says it will stop using nondisclosure agreements when negotiating data center deals with local governments. Microsoft made a similar move earlier this year. According to TechCrunch AI, secrecy around such deals has fueled community opposition to AI infrastructure. Source: https://techcrunch.com/video/amazon-and-others-are-done-keeping-data-center-deals-secret-is-it-enough-to-build-trust/

On-Chain Data

Ethereum chain TVL: $51.20B [Source: DefiLlama] (as of Oct 10, 2026 06:30 JST) TVL describes the value of assets deposited on a chain. It should be distinguished from game user counts or revenue.

Take

My take: MegaCryptoPolis’s proposed AI agents could change how players participate in a game economy, but the announcement alone does not show how the experience will work in practice. The NUVA collaboration raises a different question about which assets institutions can access, while Amazon’s data center policy puts local transparency in focus. Across these stories, the useful test is whether the people affected can understand the new arrangements well enough to make informed decisions.

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