Anthropic Prepares for IPO, Morgan Stanley and Goldman Sachs Likely to Secure Key Underwriting Roles

On Hyperliquid, Anthropic’s largest short address continued adding positions this afternoon (Beijing Time), adding a total of roughly $7.62 million in short positions between 12:29 and 18:03. Its total short positions across two Anthropic-related contracts now stand at approximately $36.18 million, making it the single address with the largest short position size among all related contracts. The whale added around $7.458 million in short positions on the pre-listing ANTH contract deployed on Entropy, boosting its position size by about 35.7%. It also added roughly $164,800 in short positions on the ANT contract deployed on Trade.xyz. As of press time, both positions carry 6x isolated margin leverage, with a combined unrealized loss of around $1.4634 million: - ANTH short position: valued at approximately $29.7962 million, the largest short in this contract, with an unrealized loss of $1.0796 million; - ANT short position: valued at around $6.3838 million, with an unrealized loss of $383,800.

A protocol upgrade proposal has emerged on the Scroll DAO forum, aiming to reposition Scroll as a permissioned application-specific network focused on privacy AI, while migrating the SCR token to the Ethereum mainnet. The proposal states that if approved, the Scroll Foundation will lead the network upgrade and asset migration. The new network will support an integrated AI product stack including Compass, Compass API, CENO, USX and SCR, with a focus on privacy AI interactions, security credentials, agent workflows, payments, and computing power coordination. SCR’s total supply and overall tokenomics will remain unchanged, and the token will continue to fulfill governance functions. The governance scope is proposed to extend to core parameters of USX, and SCR may also act as collateral for certain high-risk commitments and validators.

Insight from Beating AI: U.S. AI startup Levanto Labs has launched Sage2, a model that combines information extraction with real-time decision-making. It can automatically extract details like amounts, dates, and user needs from chats, and continuously adjust its judgments based on new content. For example, Sage2 can monitor user sentiment for web-based AI customer service tools. If a user initially asks for a refund but grows increasingly frustrated, Sage2 will update its assessment accordingly. When the user’s dissatisfaction hits a pre-set threshold, the system automatically transfers the interaction to a human agent, no need for the user to request it explicitly. According to the company, Sage2 takes around 150 milliseconds to extract information from short text, with a judgment update as fast as 50 milliseconds. The system retains conversation context and reuses computational caches, eliminating the need to resubmit full chat logs each time. It is primarily targeted at use cases like customer service, business automation, and AI agents, making it suitable for handling large volumes of repetitive judgment tasks. Compared to calling general-purpose large language models, this specialized decision model is expected to reduce latency and costs. In the company’s in-house evaluation, Sage2 scored 77.8 in information extraction accuracy, slightly outperforming Cloudflare’s data extraction model Clairic, which scored 75.3.

Beating AI News Flash: Indian AI firm Sarvam has launched open-source decision-making model Prism, fine-tuned from Sarvam 105B. Prism adopts a Mixture of Experts (MoE) architecture, with a total of around 105 billion parameters, though only approximately 10 billion are activated per inference run. Thanks to inference optimization, the median response time for a single request has dropped from 664 milliseconds to 44 milliseconds, a speedup of roughly 15 times. Sarvam tested 25 decision models; Prism scored an average of 71.8 points across three benchmarks, making it the highest-scoring model with a response time under 100 milliseconds. The firm also ran tests on 2,000 multiple-choice questions, and Prism’s answers remained consistent regardless of option shuffling. The model’s weights are now released under the Apache 2.0 license, allowing enterprises to fine-tune and deploy it independently.

Hong Kong Special Administrative Region (HKSAR) government welcomes the Legislative Council’s passage today of the 2026 Inland Revenue (Amendment) Bill, which will implement the OECD’s Crypto-Asset Reporting Framework (CARF) and the amended Common Reporting Standard (CRS) in Hong Kong. The HKSAR government noted that CARF will take effect in Hong Kong next year, with relevant service providers required to collect specified information per the framework; the Inland Revenue Department (IRD) will automatically exchange tax information on crypto-asset transactions with partner jurisdictions starting from 2028. The amended CRS will also come into force in 2028, and the IRD will automatically exchange financial account information under the new standards from 2029. Hong Kong’s Secretary for Financial Services and the Treasury Christopher Hui Ching-yu said that implementing the latest international automatic information exchange standards will help consolidate Hong Kong’s reputation as an international financial and commercial center, and boost the confidence of crypto-asset service providers, financial institutions and digital asset users in operating and making long-term investments in the city. Hong Kong will conduct information exchange based on reciprocity, data confidentiality and security. The IRD will issue guidelines and set up a dedicated team to provide technical support and answer inquiries for the industry.

After U.S. Democrats regained control of Congress, congressional investigative powers are set to expand significantly. Robert Garcia, a Democrat on the House Oversight Committee, has publicly urged relevant parties to "get a lawyer"; Ron Wyden of the Senate Finance Committee has directly signaled the likelihood of issuing subpoenas. Multiple law firms have begun compiling potential investigation checklists for their clients, covering topics including allegations related to Trump’s business and family wealth accumulation, the Iran war, immigration enforcement, Dogecoin’s layoff impacts, and AI and the cost of living.