Tech
Animoca Brands to Invest Billions of Dollars in the Metaverse
According to a report from Nikkei Asia on Wednesday, the co-founder of Animoca Brands, Yat Siu, stated in an interview that the company intends to establish a fund with a potential value of up to $2 billion to invest in businesses related to the metaverse.
The fund will focus on non-fungible tokens (NFTs) and blockchain gaming. Siu said that the business currently has plans to form a fund that would be named Animoca Capital, with the fund’s maiden investment anticipated to take place in 2023.
In addition, the Hong Kong-based gaming software and venture capital platform is working toward the goal of making it possible for users to have access to Web3 businesses.
Siu said that Animoca’s proposed investment fund will assist the firm in advancing long-term objectives despite the turmoil that has persisted in the cryptocurrency market for the last year.
To provide more elaboration on Animoca’s planned long-term agenda, he indicated that the long-term goal for both Animoca and himself is to devise a method by which all of its employees may acquire digital property rights.

He is holding out hope that this will also propel a situation in which the legal system would recognize digital property in the same way that it recognizes physical property.
Animoca’s Dedication to Web3
Animoca Brands has a strong commitment to the metaverse as well as web3. According to Robby Yung, the CEO of the firm, there is no such thing as a metaverse without Web3 since it is necessary to possess that transaction layer in order to provide interoperability between material and the ability to transport it from one location to another.
Animoca Brands is one of the original members of the Open Metaverse Alliance, which was established last month as a trade association with the mission of promoting interoperability standards inside the metaverse.
Because of these standards, NFT material that was purchased on one metaverse platform would be able to integrate without any problems with NFT content that was purchased on another metaverse platform; for instance, an NFT that was purchased on Decentraland may be utilized in The Sandbox.
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Tech
Fetch.ai says LA Hacks project MultiEval used specialist agents to test multi-agent delegation
Fetch.ai said a winning LA Hacks project called MultiEval used its specialist AI agents to test how multi-agent systems should delegate work, with the system running a 50-agent simulation of the US economy overnight.
50 specialized AI Agents ran a simulation of the US economy overnight.
A winning @LAHacks project, MultiEval, used @Fetch_ai‘s specialist agents to test how multi-agent systems should delegate work.
This system autonomously improved another Agent harness and was used to run a…
— Fetch.ai (@Fetch_ai) August 20, 2026
In a post on the company’s official X account, Fetch.ai described MultiEval as a project that used its specialist agents to evaluate other agents and improve an agent harness autonomously. The company said the setup ran through ASI:One and framed the process as “agents evaluating agents.”
How the LA Hacks project was described
According to Fetch.ai, MultiEval was used to test delegation inside multi-agent systems, with specialist agents helping run the benchmark and improve the harness used for the simulation. The company did not provide additional technical details in the post about the exact structure of the evaluation or the full scope of the overnight run.
The post adds to Fetch.ai’s broader LA Hacks presence, but the central claim is limited to the project’s use of specialist agents, the 50-agent simulation and the ASI:One workflow described by the company.
Fetch.ai also has a LA Hacks event page on its official site, which places the project in the context of its hackathon participation and agent-focused materials.
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Tech
AI agents drove 16.2 million x402 transfers in 30 days
AI agents initiated 16.2 million transfers through the x402 protocol over the past 30 days, according to a Token Terminal post. The data breaks down the activity across chains, with Base accounting for 9.5 million transfers and Polygon for 5.6 million.https://twitter.com/tokenterminal/status/2090165191489270116
The figures add fresh volume to x402, which describes itself as an internet-native payment standard for AI and agentic payments on its official dashboard. The headline metric points to measurable usage rather than a purely conceptual payment layer, although the data shown in the post is limited to transfers and does not by itself explain who the agents were or what kinds of payments they made.
The chain split also suggests the activity is concentrated rather than evenly distributed. Base led the tally by a wide margin, with Polygon also accounting for a large share of the reported transfers.
For now, the clearest takeaway is narrow but concrete: x402 is seeing repeated transfer activity from AI agents, and the recent count gives a cleaner snapshot of where that usage is showing up onchain.
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Tech
Aptos launches Confidential APT with encrypted balances on mainnet
Aptos said Confidential APT is now live on mainnet, bringing opt-in encrypted balances to the network while keeping wallet addresses visible. The feature is positioned for compliant use cases including payroll, treasury and business-to-business settlement.https://twitter.com/Aptos/status/2084481961553445096
The Aptos account said transactions are verified with zero-knowledge proofs, allowing the network to confirm that transfers are valid without exposing the underlying amounts. The update is meant for users who want confidentiality for specific transfers rather than full anonymity across the network.
A separate governance page tied to the rollout shows the proposal as executed, matching Aptos’ public statement that the feature has been enabled on mainnet. The material linked from that page describes Confidential APT as part of Aptos’ on-chain privacy features.
How the feature is framed on Aptos
According to Aptos, Confidential APT is opt-in, so users can still use standard transparent transfers if they prefer. The company’s framing focuses on enterprise and institutional settings where transaction amounts may need to be hidden while counterparties remain identifiable.
The launch adds a privacy layer at the transaction level, but it does not by itself indicate broader usage or adoption. It does, however, give Aptos a live mainnet mechanism for hiding balances on selected transfers.
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