U.S. Democrats, after regaining their congressional investigative authority, are set to step up probes across the board: the House Oversight Committee is advising involved parties to "seek legal counsel," while the House Financial Services Committee has already issued subpoenas.

Nova Scotia Supreme Court Justice John Bodurtha ruled Tuesday that a laptop containing a bitcoin wallet will be returned to the family of convicted murderer William Sandeson, who is currently serving a prison sentence. The judge found prosecutors failed to link the wallet’s bitcoin to the 2015 murder case, nor could they prove the digital assets were proceeds from drug trafficking or other criminal activity, so the wallet should not be seized. Sandeson killed fellow student Taylor Samson in 2015; he was convicted of second-degree murder by a jury in 2023 and is now serving a life sentence, with parole eligibility as early as 2030. The bitcoin wallet in question was previously seized by police from Sandeson’s residence, though the exact amount of cryptocurrency held has not been disclosed. There is a significant dispute over the wallet’s value: Sandeson claims it is worth roughly C$8,000 to C$10,000, while the victim’s family, in a separate civil lawsuit over Samson’s wrongful death, alleges the wallet could now be worth more than C$200,000. The court also ruled that C$5,000 in cash seized from Sandeson’s home after the murder is criminal-related property and will not be returned.

Tron founder Justin Sun has filed a motion with a U.S. federal court seeking $263,821.20 in sanctions against Donald Trump family-linked crypto project World Liberty Financial (WLFI) and its attorneys, alleging the parties submitted misleading disclosure documents in litigation over his $45 million WLFI investment, failing to disclose an Emirati-linked party in the project’s ownership chain. Sun and two co-plaintiffs noted WLFI initially listed only Florida as its jurisdiction in court filings, and only amended its disclosures nearly three months later to name 22 individuals and entities in its ownership chain, including the Emirati-linked party. WLFI subsequently argued the federal court lacked jurisdiction over the case, citing its Emirati ties. Sun said he plans to refile the lawsuit in a California state court once the sanctions application is resolved, with a related hearing scheduled for December 10. The two sides have already filed reciprocal lawsuits over the freezing of Sun’s tokens: Sun sued WLFI in April, while WLFI countersued for defamation in May.

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.