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BTC $75,517.77 -0.78%
ETH $2,328.92 -1.10%
BNB $622.67 -1.68%
XRP $1.43 -0.35%
SOL $85.67 -1.17%
TRX $0.3298 +0.59%
DOGE $0.0948 -1.00%
ADA $0.2480 -1.34%
BCH $441.82 -0.77%
LINK $9.24 -1.54%
HYPE $43.24 -1.92%
AAVE $91.23 -17.97%
SUI $0.9556 -0.85%
XLM $0.1704 +0.64%
ZEC $330.74 +2.38%

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Spark's strategic director: The ETH market faces liquidity risks due to a potential 10% to 15% reduction in rsETH loans

The strategic director of Spark, monetsupply.eth, posted on platform X that as the stablecoin market begins to lack liquidity, the situation is entering a more dangerous phase. I believe that the ETH market is about 16.5% supported by rsETH, and if the loans supported by rsETH experience losses shared between the mainnet and external chains, there may be a 10% to 15% reduction in emode, leaving a remaining 2% to 3% reduction for ETH suppliers to smooth out the umbrella structure.ETH suppliers naturally tend to exit as soon as possible to avoid this risk, so the utilization rate is locked at 100%, and the borrowing rates are insufficient to incentivize the repayment of unrelated LST cycles (wstETH, weETH) to release liquidity. Since users cannot withdraw ETH, those who borrow stablecoins like USDT and use ETH as collateral cannot close their positions even when stablecoin borrowing rates rise, cutting off the typical incentive mechanism to maintain market health.Currently, two unhealthy incentives are causing the market utilization rate to be locked at 100%: 1) ETH holders cannot close their positions to maintain a healthy LTV, and liquidators cannot atomically withdraw or sell collateral, which may lead to bad debts if the ETHUSD price falls. 2) Users supplying USDT, in order to exit their holdings, tend to maximize borrowing of other stablecoins, which is currently generating positive returns (temporarily), thus the exit cost is low; if conditions worsen, they can at least recover 75% of the position value.The bottom line is that these pooled/re-staked lending markets must maintain liquidity at all costs to operate normally. The recent weakening of slope2 against Aave's maximum borrowing rate is having a negative impact and significantly increasing the risk of failure in the yield market.

ChainCatcher "From Cryptocurrency to Smart Economy" Roundtable: AI Agents are shifting from conversational to executable, with trust and verifiability becoming key bottlenecks for scalability

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, guests including KiteAI's Asia Pacific head Laughing, Sentient's Asia Pacific head Anita, Brevis content director Nic Tang, Mentis product head Jerry, and Predict.fun's Asia Pacific BD head Ah Huang Ricardo engaged in a roundtable discussion on the theme "AI × Crypto --- The Foundation of the Next Generation Digital Economy."Regarding whether the outbreak of open-source AI Agents (such as "raising lobsters") is a short-term sentiment or a long-term trend, Laughing believes this marks a paradigm shift of AI from "conversational" to "executive," signaling the beginning of a long-term trend. However, Agents lack a physical identity, making it difficult for merchants to trust their trading behavior, and issues of data leakage and uncontrollability remain obstacles that must be overcome for scaling. Jerry pointed out, based on his own usage experience, that current Agents face security risks such as memory fuzziness, token consumption in dead loops, and accidental file deletion. Although newly emerged Agents have improvements, they still have shortcomings. Ah Huang Ricardo stated that behind the short-term sentiment is real user demand, but truly reproducible profitable trading Agents are still very rare, and there is a long way to go.Addressing core bottlenecks such as trust, security, and verifiability, Nic Tang emphasized that the current execution process of Agents is like a black box, where users cannot verify whether their decisions are executed as promised. Zero-knowledge proof technology can mathematically prove the source of an Agent's output and compliance with behavior, while not exposing privacy. Anita added that Sentient is committed to building an open and collaborative AI agent network, promoting the deep integration of AI and blockchain in identity, data, and incentive layers, providing foundational support for the next generation digital economy.Regarding the application scenarios that are likely to scale first, the guests generally believe that the programming field is relatively mature, and Agents in prediction markets perform better than humans in specific tracks due to their rationality and lack of emotions. In the short term, they are optimistic about API Marketplace and cross-platform consumer shopping Agents, while in the medium term, they are optimistic about content creation AI (such as AI influencers). Agent-to-Agent interaction and the Agent/Skill Marketplace are seen as important future trends.

Tencent Cloud Industry Architect Alan Nie: The dual engines of Cloud + AI drive Web3 to break through the bottlenecks of infrastructure and R&D efficiency

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, Tencent Cloud's industry architect Alan Nie delivered a keynote speech titled "Cloud + AI Dual Engine: Tencent Cloud Empowers New Growth in Web3."Alan Nie pointed out that Web3 enterprises face three major bottlenecks in global infrastructure, R&D efficiency, and business intelligence. Tencent Cloud deeply integrates the "Cloud + AI" dual engine to provide low-latency infrastructure covering the globe. Among them, the Singapore data center is the only cloud provider in the world that offers four availability zones, and the self-developed TDSQL-C database can achieve elastic scaling in seconds, with Redis single-node performance reaching over 300,000.In terms of AI empowerment, Tencent Cloud launched CodeBuddy (AI Pair Programmer) and WorkBuddy (Personal AI Assistant), which can automatically generate code, batch process office documents, organize meeting minutes, and support multi-agent parallel execution of complex tasks. In financial scenarios, the automation research report reproduction cycle has been shortened from three days to half a day; in on-chain data analysis scenarios, storage costs have been reduced to one-tenth of the original, with query responses reaching millisecond levels.Alan Nie stated that Tencent Cloud is committed to using the "Cloud + AI" dual engine to help Web3 enterprises build the next generation of smart economic infrastructure.
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