WORLD3 Releases Demo Video Showcasing Web3 Automation
- WORLD3 showcases Web3 automation via AI agents.
- Potential impact on EVM-compatible networks.
- Awaiting adoption and developer integration.
WORLD3 has unveiled a demo video on its official Twitter account, demonstrating its Web3-native AI agents and automation capabilities in a four-minute showcase.
The demo could influence Ethereum, Sui, and Base networks’ adoption, potentially impacting user engagement and developer integration as automation advances.
WORLD3, a Web3-native AI agent platform, unveiled a demo video highlighting automation capabilities. The video showcases persistent expert agents performing tasks such as white paper writing and social media promotion from a single user concept.
The WORLD3 project emphasizes solving the Web3 Automation Trilemma. Currently, there is no named leadership, as the official documentation is signed by the WORLD3 Foundation, detailing their technical team’s role.
The demo’s release could affect EVM-compatible networks and others, pending adoption. Assets like Sui and Base might gain indirect exposure as automation achieves traction. Current evidence suggests awaiting significant user uptake.
Financial implications remain uncertain without official funding rounds or partnership announcements linked to the event. Future integration on platforms like ETH could reveal economic shifts once TVL data reflects adoption.
The market’s historical reaction to similar launches indicates potential upticks in developer activity. Affected platforms may experience increased network effects. However, current data shows no real-time on-chain changes related to TVL or liquidity.
Future outcomes depend heavily on user and developer adoption across associated smart contract platforms. A rise in interoperability and integration with platforms like ETH, SUI, and BASE suggests potential technological advances subject to broad ecosystem acceptance. Here’s a noted claim from the WORLD3 Foundation:
“WORLD3 is the first platform to recognize that the Web3 Automation Trilemma cannot be solved through piecemeal approaches.”
