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🚨 JUST OUT: Q2 GDP shatters expectations, with the economy growing at 3%. CRUSHING it! 💪

🇺🇸 Trump reacts to 3% Q2 GDP: "Too Late must now lower the rate. No inflation! Let people buy and refinance their homes!"

In-depth exploration of the TON Blockchain and its applications The TON ecosystem has recently attracted a lot of attention, with various mini-games based on TON emerging one after another. As an L1 public chain, how does TON differ from other blockchains, what advantages does it have, and what can ordinary users do on TON? Let's explore these questions together. Introduction to TON TON (The Open

The World Computer in a Decentralized Network: AO's Vision and Challenges Executing arbitrary code without trust and being able to share with the whole world is the core concept of the world computer in a Decentralization network. After Ethereum, many infrastructure projects have attempted in this direction, among which the upcoming AO network is a typical representative. For a "world computer", we can roughly divide its functions into three main parts: data computation, access, and storage. For a long time, a certain storage project has acted as the "world hard drive", while the newly launched AO network (Actor Oriented) introduces general computing capabilities and provides smart contract functionalities. AO: A General Computing Network Based on the Actor Model The current mainstream decentralized computing platforms can be divided into two main categories: smart contract platforms and general computing platforms. Take a well-known smart contract as an example.

AI Security issues are highlighted, and fully homomorphic encryption may become the solution. With the rapid development of artificial intelligence technology, Manus has achieved breakthrough results in the GAIA benchmark test, surpassing large language models of the same tier in performance. Manus has demonstrated the ability to independently complete complex tasks, such as multinational business negotiations that involve expertise in multiple areas. Compared to traditional systems, Manus has significant advantages in dynamic goal decomposition, cross-modal reasoning, and memory-augmented learning. However, the progress of Manus has also sparked heated discussions in the industry about the development path of AI: will a unified General Artificial Intelligence (AGI) emerge in the future, or will multiple specialized agents (MAS) work collaboratively? This debate actually reflects the balance issue between efficiency and security in AI development. As a single agent approaches AGI, the opacity of the decision-making process increases the risk; whereas multi-agent collaboration, although...