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Whale Tracking Strategy: High Win-Rate Prediction Account Increases STRC Short Position to $1.54 Million

44 minutes ago

According to monitoring by TradingBeats, cross-platform trader TwoEyes (Twitter handle: @two_gifts_) added a new short position of 5,514.8 STRC contracts, with a notional transaction value of roughly $545,000. His total short position rose from 10,100 to 15,600 contracts, a roughly 54.6% increase. The position’s notional value stands at around $1.5447 million, with an unrealized loss of approximately $7,232. On Polymarket, TwoEyes still holds around 16,800 Yes contracts for the prediction market event “Strategy will be removed from the MSCI Index by year-end”. His average entry cost corresponds to an implied probability of 79.16%, while the market probability at the time of the snapshot was 84.5%. The position is valued at roughly $14,200, with an unrealized profit of about $899. No changes to this prediction position have been observed in the past 24 hours. TwoEyes has made multiple Strategy-related prediction trades previously. Based on aggregated closed trade records, he has participated in 16 markets related to this theme, with 13 wins and 3 losses, translating to a win rate of roughly 81.3% and cumulative realized profit of around $165,500. Hyperliquid address: 0xf3dcaeb909d3d17318c0908a1ec0ca31321e1672 Previous report: Prediction market trader "TwoEyes" opened on-chain short positions and increased short holdings of 1.4 million BTC and Strategy-related assets.

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Muse Exposes Zero-Day Vulnerability, Allowing Local Programs to Hijack Agent Permissions

Beating AI News Flash: Meta’s personal AI agent Muse, launched just two weeks ago, has been discovered with a local zero-day vulnerability by security researcher Patrick Wardle. Attackers only need to run a piece of code on a Mac under the current user’s identity to modify a hidden Muse setting, redirecting voice requests to their own server. This code does not require extra macOS permissions. Post-exploitation, attackers can intercept users’ voice inputs to Muse, inject malicious commands, and potentially obtain Muse’s authentication credentials. Muse itself has access to system resources such as files and cameras; whatever permissions users grant Muse, malicious programs could leverage Muse to abuse those access rights. Notably, this is not a vulnerability enabling remote Mac intrusion—attackers must first execute the code locally on the device. When Meta launched Muse, it highlighted its security design, which includes the Muse Secure VM and an independent Sentinel Agent. The first zero-day vulnerability, however, was found in a hidden setting on the Mac client that can be modified by a regular local process.

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South Korea's Kakao Pay, KakaoBank and Fireblocks explore stablecoin infrastructure.

South Korean financial firms Kakao Pay and KakaoBank have signed a memorandum of understanding (MoU) with crypto infrastructure provider Fireblocks to explore digital asset-related opportunities, including stablecoin infrastructure. Under the agreement, the three parties will conduct proof-of-concept (PoC) tests on digital asset infrastructure tailored to South Korea’s regulatory, security and service requirements, to advance on-chain infrastructure development for the country’s emerging digital asset market. No specific launch, investment or implementation timelines have been disclosed for the deal. The partnership comes as South Korea accelerates efforts to refine its digital asset regulatory framework. Earlier, Kakao Group also signed an MoU with stablecoin issuer Circle to explore blockchain-based payment infrastructure and related businesses such as a South Korean won stablecoin.

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X launches Cashtag Partners, integrating stock and crypto trading.

X Business has announced the launch of its "Cashtag Partners" program, which aims to further integrate financial information and trading capabilities for stocks and crypto assets. X notes that its platform serves as a key source for traders and investors to access financial news, and the Cashtag Partners initiative will enable users to more easily connect financial discussions on the platform with trading functions. According to a released video, the program’s partners include Kraken, moomoo, Gemini, Interactive Brokers, and Coinbase.

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A mysterious crypto whale went long on 41,200 ETH during the rally, notching $1.52 million in unrealized profit in just 11 hours.

According to monitoring by Ai Yi, the address 0x77d…ae0e9 opened a long position of 41,228 ETH on Hyperliquid at an average price of $2,693.92 at 23:28 last night, amid ETH’s price rally. The position is valued at approximately $112 million, making it the fourth-largest ETH long position on Hyperliquid to date. As of press time, the address holds an unrealized profit of around $1.524 million. Earlier, this address had taken long positions on both BTC and ETH, exiting both trades with profits, generating a total gain of $3.283 million, bringing its current win rate to 100%.

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Balancer plans to "relaunch" via a new protocol fork, betting on on-chain trading of tokenized stocks.

The Balancer community has proposed a "Fork and Reincarnate" plan, designed to continue Balancer’s technology and ecosystem via an official fork in the event the original protocol faces potential shutdown, with the new protocol positioned as a tokenized stock trading platform. The proposal suggests MAXYZ lead the establishment of a new official fork entity, migrating part of Balancer’s liquidity, team members, partners, users, and intellectual property to the new protocol, while extending the suspension deadline for existing pools and the Balancer Vault to Q2 2027. For funding, the plan allocates Balancer’s remaining ~6 million uncirculated BAL tokens as seed capital for the new project, valued at roughly $690,000 at current prices. In exchange, if the new protocol conducts a future token issuance or other liquidity exit events, the Balancer Treasury will receive 10% of the new protocol’s token’s fully diluted valuation (FDV) upfront. The new protocol will leverage Balancer’s core technologies—including multi-asset pools, dynamic weights, dynamic fees, LVR capture, and permissioned pools—focusing on tokenized stocks and other traditional financial assets on-chain. Using the U.S. stock market’s average daily trading volume of $750 billion as a benchmark, the proposal estimates that if 10% of that volume moves on-chain, with a 1 basis point fee and 1% market share, theoretical annual revenue would reach approximately $27.4 million. Additionally, the proposal intends to grant the new fork a permanent, irrevocable, non-exclusive license for Balancer-related intellectual property; if the original Balancer entity is dissolved, this license will be upgraded to an exclusive assignment of the held intellectual property.

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OpenAI has produced so many mathematical research findings that it cannot publish them all in a timely manner, and has enlisted three Fields Medalists to vet the work.

Exclusive: Beating AI News Flash OpenAI has established a "Mathematics and Artificial Intelligence Advisory Group" hosted by Princeton’s Institute for Advanced Study (IAS). The company stated that an internal research model has solved over 100 long-standing open problems spanning multiple mathematical fields, including the previously announced research on the Navier-Stokes Millennium Prize Problem. Most of these findings remain unpublished. The advisory group will assess the significance of these results, their publication approach, and compliance with academic standards. Its first nine members include three Fields Medal winners: Timothy Gowers, Martin Hairer, and Edward Witten. Members will not receive compensation from OpenAI, may publicly criticize the company, and can independently release recommendations. However, the group holds no decision-making power and will not determine the pace of OpenAI’s internal mathematical research. This move is OpenAI’s direct response to recent dissatisfaction from the mathematics community. Earlier, 25 Fields Medal winners including Terence Tao, Yufei Zhao, and Peter Scholze released a joint statement accusing AI companies of framing the solving of major math problems as a benchmark, which has begun to harm mathematical research. The statement acknowledged that large models have advanced rapidly in recent months and can solve several important open problems across fields, but emphasized that mathematics prioritizes the new concepts, methods, and understanding generated from such solutions.

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