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高山仰止.eth
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高山仰止.eth
04-16
Thread
http:/B.AI With over 1 million users, are you still treating it as just a Q&A tool? Currently, most people's use of AI is still at a basic level: ask a question and wait for an answer. But I recently tried @BAI_AGI, and it felt a bit different. You're not simply typing a sentence; it's more like initiating a process. This experience, to be honest, is a bit strange, but also quite interesting. So, seeing its user base slowly reach 1 million recently didn't particularly shock me. The key point is that many people mistakenly think it's a chatbot, but from my experience, it seems to be on a different track: It's more like a low-level system. For example: - It can handle relatively high-frequency interactions (not just one-off interactions) - It prioritizes privacy by default - It seems more designed for AI than simply for humans. I didn't quite understand this at first either, but later I gradually realized that it seems to be serving AI rather than serving humans. This point is a bit convoluted, but quite crucial. Many products are still focused on user interface and functionality, but http:/B.AI is doing something more fundamental: 👉 Letting AI run processes on its own 👉 Different agents can cooperate 👉 It might even make its own decisions and transactions in the future. Simply put: while others are making more user-friendly tools, it's already trying to build a system that can function on its own. Of course, this is still in its early stages, and it's not guaranteed to work perfectly. But these 1 million users at least demonstrate one thing: This isn't just an idea; people are already using it. So what I'm more concerned about now isn't how many more users it can gain, but how far this structure that lets AI work on its own can go. Experience Baidu 👉: http:/chat.b.ai/chat @justinsuntron #TRONEcoStar
B.AI
@BAI_AGI
04-14
📢 http://B.AI LLM Services just hit 1M users More than a growth metric, this is a milestone for our tech stack. It proves that our privacy-first routing can handle massive, sustained throughput. We aren't just building a chat interface. We are deploying the
BAI
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高山仰止.eth
03-15
Thread
Mantle is reshaping the on-chain liquidity landscape through technological upgrades and a change in its funding structure. In recent months, Mantle's growth has accelerated significantly. In just a few months, its on-chain TVL (TVL) has increased from hundreds of millions of dollars to over $1 billion, and its stablecoin market capitalization is approaching $1 billion. Meanwhile, after Aave listed on the Mantle market, its lending volume quickly surpassed $1 billion. These figures indicate that Mantle's fund activity and liquidity are significantly improving, and a genuine fund circulation is beginning to form within the DeFi ecosystem. 🌟 The core reason for this change is Mantle's technological upgrade. By introducing SP1 technology, Mantle has upgraded from a traditional Optimistic Rollup to a ZK Validity Rollup. The most noticeable change is that cross-chain confirmation speed has been reduced from approximately 7 days to approximately 1 hour, while the cost of a single transaction proof has decreased to approximately $0.002, significantly improving fund flow efficiency and making it more suitable for institutional participation. In terms of positioning, Mantle has shifted from simply scaling the network to becoming a "liquidity distribution layer," attempting to connect the flow of funds between TradFi, RWA, and DeFi. To achieve this goal, Mantle launched two core assets: mETH and cmETH: ➣ mETH is a liquid staking asset for ETH, earning staking rewards; ➣ cmETH, combined with EigenLayer's restaking mechanism, adds rewards on top of the original yield. When these assets are incorporated into protocols such as Aave and Merchant Moe, they can continuously circulate in the lending and liquidity markets, improving capital utilization efficiency. Simultaneously, Bybit's Vault has introduced approximately $150 million in assets under management to the system, enabling retail and institutional funds to interact within the same ecosystem, gradually building a CeDeFi integrated capital circulation model. 🌟 Another important direction for Mantle is: AI Agents. In February 2026, Mantle launched the ERC-8004 standard on its mainnet, establishing a three-tiered registration system for AI agents: identity, reputation, and verification. This allows AI agents to possess identifiable identities on-chain and participate in collaboration. This mechanism is considered a crucial infrastructure for the DeFi ecosystem, enabling AI to participate in DeFi, asset management, and automated trading scenarios in the future. Overall, @Mantle_Official's development does not rely on a single narrative but is driven by technological upgrades, funding structures, and new application directions. With the ZK architecture improving capital efficiency, the DeFi ecosystem forming a cycle, and AI agents gradually being implemented, Mantle is building a network centered on liquidity distribution and capital efficiency. If the integration of AI and DeFi reaches a large-scale stage, Mantle's ecosystem still has room for further expansion. @Mantle_Official @0xMantleCN #RWA #DeFi #Succinct #Bybit
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高山仰止.eth
03-14
Thread
TRON's on-chain revenue is leading the L1 blockchain market. Over the past 30 days, TRON has once again ranked first in L1 public chain revenue, accumulating approximately $189 million in revenue—a figure exceeding the combined revenue of many mainstream L1 blockchains. Unlike many narrative-driven ecosystems, TRON's revenue primarily comes from real-world on-chain usage. The large number of transactions occurring daily continuously creates value for the network, such as: 🔸Stablecoin transfers 🔸On-chain payments 🔸DeFi interactions 🔸Various daily on-chain activities These activities consume network resources while simultaneously generating revenue for the TRON network. In other words, TRON's growth is not a one-off surge, but rather a gradual accumulation of real cash flow from continuous on-chain transactions. The simplest way to assess the actual usage of a public chain is to look at how much money it actually earns each month. From this perspective, #TRON's performance remains outstanding. @justinsuntron #TRONEcoStar
TRX
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高山仰止.eth
03-05
Thread
TRON ranks first in on-chain revenue, widening its lead over second place by a significant margin. Latest on-chain data shows: TRON Chain ➣ 24-hour revenue: Approximately $1.02 million ➣ 7-day revenue: Approximately $6.57 million ➣ 30-day revenue: Approximately $26.27 million From short-term to monthly periods, TRON consistently ranks first, far surpassing other mainstream public chains. A horizontal comparison is even more intuitive: 1️⃣ 24-hour revenue is more than 6 times that of the second-place Base. 2️⃣ 30-day cumulative revenue is nearly 9 times that of Ethereum. These data illustrate one thing: TRON on-chain transactions have been very active recently, with frequent capital flows, and the on-chain economy continues to heat up. In short: Whether it's 24h, 7d, or 30d, TRON firmly holds the top spot in blockchain revenue. @justinsuntron #TRONEcoStar
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