News linked to both this project and an event.
According to CoinDesk, researchers from the University of California, Santa Barbara; the University of California, San Diego; blockchain security firm Fuzzland; and World Liberty Financial jointly published a paper warning that “LLM routers”—intermediary services positioned between users and AI models—have become a major threat to cryptocurrency asset security. The researchers discovered that 26 LLM routers are secretly injecting malicious tool calls and stealing user credentials, with one incident resulting in the complete draining of a customer’s cryptocurrency wallet worth $500,000. Additionally, by “poisoning” the router ecosystem, the researchers were able to gain control of approximately 400 downstream hosts within hours. Since sensitive data—including private keys and API credentials—is frequently transmitted in plaintext through these routers, users unknowingly expose their assets to risk. The researchers note that as McKinsey forecasts AI agents will mediate $3–5 trillion in global consumer commerce by 2030—and Binance founder Changpeng Zhao predicts AI agents’ payment volume will be one million times greater than that of humans—the current infrastructure’s security lags far behind the pace of industry development. The “weakest link” risk could thus trigger systemic, cascading crises.
According to on-chain analyst Ai Aunt (@ai_9684xtpa), renowned trader “Set 10 Big Goals First” (@Jason60704294) has updated his latest positions: his BTC short position has not only avoided triggering its stop-loss but has been increased to 2,567.49 BTC, with an average entry price of $71,554.61—currently showing a floating loss of $1.374 million. His ETH short position stands at 38,465.22 ETH, with an average entry price of $2,248.74, currently generating a floating profit of $2.018 million. The net floating profit across both positions is approximately $644,000.