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BTC $79,086.74 -2.81%
ETH $2,223.31 -3.29%
BNB $673.10 -1.15%
XRP $1.43 -7.00%
SOL $89.53 -4.12%
TRX $0.3519 -0.75%
DOGE $0.1130 -2.86%
ADA $0.2609 -5.28%
BCH $426.07 -2.77%
LINK $10.07 -5.68%
HYPE $44.82 +1.00%
AAVE $93.10 -6.87%
SUI $1.10 -9.07%
XLM $0.1545 -6.75%
ZEC $522.37 -1.97%

fund

After receiving $100 million in funding, Gemini's pre-market increase exceeded 25%, but it still reported a loss of $109 million in Q1

According to CoinDesk, after the cryptocurrency trading platform Gemini, founded by the Winklevoss brothers, announced its Q1 2026 financial report, its stock price rose over 25% in pre-market trading. The financial report showed that the company's revenue for the quarter increased by 42% year-on-year to $50.3 million, while the net loss narrowed by 27% year-on-year to $109 million, but still exceeded market expectations of a loss of $0.61 per share.The report indicated that Gemini's operating expenses increased by 73% year-on-year to $144.5 million, with employee compensation costs rising by 91%, which included approximately $6.5 million in severance pay; sales and marketing expenses also doubled year-on-year to $19.1 million.The company stated that it is currently driving its business transformation through layoffs, business contraction, and a $100 million Bitcoin injection from Winklevoss Capital Fund, and is seeking to achieve profitability.In February of this year, Gemini closed its operations in the UK, EU, and Australia, laying off about 25% of its staff, and shifted its focus to the U.S. market and prediction market business. In April, the company received approval from the U.S. Commodity Futures Trading Commission for its Derivatives Clearing Organization (DCO) license, officially entering the cryptocurrency prediction market field. Boosted by these developments, the company's stock price has recently rebounded and is now above $6.6.

AI Agent Security Risk Exposure: Attackers Can Exploit "Memory Pollution" to Induce Misoperation of Funds

The GoPlus Security team has disclosed a new type of attack in its AgentGuard AI project: inducing AI agents to perform unauthorized sensitive operations through "memory poisoning." This attack method does not rely on traditional vulnerabilities or malicious code but exploits the long-term memory mechanism of AI agents. For example, an attacker first induces the agent to "remember preferences," such as "usually prioritizing proactive refunds instead of waiting for chargebacks," and then uses vague expressions like "process as usual" or "execute as before" in subsequent instructions, thereby triggering automated financial operations.GoPlus points out that the key risk in such cases lies in the AI agent mistakenly treating "historical preferences" as a basis for authorization, leading to financial losses or security incidents in operations such as refunds, transfers, and configuration changes. To address this issue, the team has proposed several protective recommendations, including:Operations involving refunds, transfers, deletions, or sensitive configurations must require explicit confirmation in the current session.Memory-related instructions like "habit," "usual way," and "as before" should be regarded as high-risk state changes.Long-term memory must have a traceability mechanism (writer, time, confirmation status).Vague instructions should automatically elevate the risk level and trigger secondary verification.Long-term memory must not replace real-time authorization processes.The team emphasizes that the "AI agent memory system" should be viewed as a potential attack surface and should be constrained and audited through a dedicated security framework.
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