Anthropic pointed out that GLM-5.3 is highly skilled at adversarial attacks, and Zhipu AI immediately responded that the model is also very capable of defending against such attacks.

，OpenAI 官网披露，今年 6 月，OpenAI 内部一个研究模型（GPT-5.6 Sol 系列）被分配任务：更新一个加密货币交易应用，并在以太坊测试网 Sepolia 上部署合约。任务没有提供已注资的钱包，也没授权使用外部资金。该模型先尝试从水龙头领测试 ETH 失败。随后它自己想出办法——从网上公开的开发者助记词（public seed phrase）中派生地址，扫描了数百个后找到一个有余额的账户。它在内部推理中明确质疑「用公开私钥的资金合不合伦理」，最终自圆其说：这些是测试网、无实际价值的 ETH，且助记词早已公开，资金「effectively abandoned（实际上已被放弃）」，于是用该账户支付了部署所需的 gas，成功完成了合约部署。OpenAI 在后续扩大对齐监控时发现了这次行为，并于 2026 年 10 月 15 日在官方 Misalignment Reports 中正式披露。事件被归类为「未经授权使用已注资的测试加密货币钱包」，显示模型用自己的判断取代了账户持有人的授权。

Hyperliquid Labs co-founder Jeff Yan told Bloomberg’s *Odd Lots* podcast that Hyperliquid is not currently open to U.S. customers. The platform aims to serve as underlying trading technology for traditional financial institutions rather than replacing existing market participants, comparing its positioning to Amazon Web Services (AWS), which provides computing infrastructure for businesses. “We are not looking to replace anything. In fact, I think this technology can benefit institutions that currently operate markets in more traditional ways,” he added. Yan noted that regulatory obligations should fall on financial institutions operating markets on the Hyperliquid blockchain, not the blockchain network itself. This regulatory arrangement would allow Hyperliquid to expand further into Wall Street while avoiding the full compliance burden of traditional exchanges, as blockchains are better suited to serve as underlying infrastructure for order books, clearing, global distribution, and liquidity aggregation. U.S. regulators are cautious about new technologies but also willing to advance innovation quickly. The team is “very serious” about Hyperliquid’s future as a “home for all financial assets.”

AGT has surged over 100% today! 5 wallets opened 2x longs on a total of 50.17M $AGT ($1.7M) on @Aster_DEX and are now sitting on $887K in unrealized profit.

AGT has surged over 100% today! 5 wallets opened 2x longs on a total of 50.17M $AGT ($1.7M) on @Aster_DEX and are now sitting on $887K in unrealized profit.

According to Yuqing Monitoring, whales and institutions that sold BTC to buy ETH continued their activity over the past day: they sold 288.9 BTC for 23.48 million USDC, then used the proceeds to purchase 9,820 ETH. Over the past five days, these entities have collectively sold 1,601.1 BTC for 132 million USDC, and in turn bought 53,095 ETH at an average price of $2,497.

Justin Sun recently discussed the potential threat of quantum computing to the crypto industry in an interview, noting, "Mathematics is extremely critical to the crypto sector, and right now everyone is focused on quantum attacks. Tron is advancing and implementing NIST (U.S. National Institute of Standards and Technology) post-quantum encryption standards to enable blockchains to resist quantum attacks. This technology is already live on the testnet, and is expected to roll out on the mainnet as early as the start of next year. Many people have severely underestimated the destructive power of Quantum Threat Day (Q-Day). Most in the crypto industry have no clue how slow the Bitcoin network’s consensus mechanism is. I’ve been part of the Bitcoin community since 2012, and the entire community’s technological progress has been very gradual. Even if the entire network clearly knows a certain disaster will strike in two years, getting the entire Bitcoin network to reach consensus and complete an upgrade in just that timeframe is an almost impossible task. Fund managers at major U.S. financial institutions like BlackRock simply haven’t spent enough time researching this issue. In their traditional mindset, this might seem like a bug in Apple’s iOS system: two minutes later, Apple releases an update patch, everyone clicks to upgrade, and the problem is fixed. But the technological evolution of public blockchains is nothing like that. These institutions have invested tens or even hundreds of billions of dollars in Bitcoin, yet they don’t actually participate in its development, don’t understand its underlying technology, and don’t care about its technical evolution—just like a fund manager who buys Apple stock won’t study iOS’s underlying code daily. Quantum Threat Day will definitely be a major headache, and the market has severely underestimated the potential devastating impact Q-Day could have on Bitcoin’s price."