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Chingchalong

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《ListaDAO - The Pillar of BSC Liquid Staking & Lending Market》#ListaLending革新BNBChain借贷 Liquid Staking is one of the core DeFi plays in every ecosystem. Currently, the TVL on @BNBCHAIN is ~$712M (with ~ $300M in Binance Staked ETH on-chain, if counting only native assets, it would be ~$397M), which is still a distance from the lending TVL of ~$2.13B. If we look at other ecosystems like ETH and SOL, the growth potential is even greater. @BNBCHAIN's liquid staking ratio is far lower than that of ETH and SOL ecosystems (40% vs. 14% vs. 2%). The reason is straightforward - there are not many projects providing native BNB liquid staking in the ecosystem, and only @lista_dao has been able to emerge. Other projects like Stader Lab have a TVL of only ~10M.

《ListaDAO - The Pillar of BSC Liquid Staking & Lending Market》

#ListaLending革新BNBChain借贷
Liquid Staking is one of the core DeFi plays in every ecosystem. Currently, the TVL on @BNBCHAIN is ~$712M (with ~ $300M in Binance Staked ETH on-chain, if counting only native assets, it would be ~$397M), which is still a distance from the lending TVL of ~$2.13B. If we look at other ecosystems like ETH and SOL, the growth potential is even greater.
@BNBCHAIN's liquid staking ratio is far lower than that of ETH and SOL ecosystems (40% vs. 14% vs. 2%). The reason is straightforward - there are not many projects providing native BNB liquid staking in the ecosystem, and only @lista_dao has been able to emerge. Other projects like Stader Lab have a TVL of only ~10M.
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Understanding the Differences Between MCP, A2A Protocol, and AIPRecently, there have been almost daily innovations in the AI field, from MCP to Agent2Agent, and now to the recent AIP (Agent Interoperability Protocol) by Unibase AI, attempting to write and digest simultaneously~ When we look at the three Protocols: MCP, A2A, and AIP together, we can imagine them as 'three different levels of cooperation between intelligent agents'. MCP focuses on enabling models to understand external data, A2A is specifically designed for agents to communicate with each other, while AIP encompasses communication, tool usage, and trust construction all in one, as if creating an 'agent operating system'.

Understanding the Differences Between MCP, A2A Protocol, and AIP

Recently, there have been almost daily innovations in the AI field, from MCP to Agent2Agent, and now to the recent AIP (Agent Interoperability Protocol) by Unibase AI, attempting to write and digest simultaneously~
When we look at the three Protocols: MCP, A2A, and AIP together, we can imagine them as 'three different levels of cooperation between intelligent agents'. MCP focuses on enabling models to understand external data, A2A is specifically designed for agents to communicate with each other, while AIP encompasses communication, tool usage, and trust construction all in one, as if creating an 'agent operating system'.
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