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first_img Tencent Hunyuan releases and open-sources Hy4 preview, with a total of 770B parameters and 49B activated

Tencent Hunyuan has released and open-sourced the next-generation large language model Hy4 preview. This model has a total of 770B parameters and 49B active parameters, with a context length exceeding 1M. It demonstrates strong capabilities in real productivity tasks such as coding, office work, and science, firmly placing it in the top tier of open-source models. Hy4 preview significantly expands in model size, context length, and data scale, and enhances real-world performance through high-quality data co-built with Tencent experts in software engineering, gaming, finance, security, and deep collaboration with products like WorkBuddy.In software engineering, the model enhances understanding, planning, debugging, and verification capabilities for long-range development tasks, enabling the construction of complex front-end projects like a Three.js miniature town from scratch. In game development, it supports generating playable prototypes from a single sentence and can complete a full demo in Unity. In smart office applications, it can handle complex financial audits, filtering, analyzing, and delivering from multiple documents. In scientific research, it achieves acceleration in tasks such as molecular dynamics simulations and has initially formed a recursive self-improvement feedback loop.Hy4 preview can be experienced in Tencent products such as WorkBuddy/CodeBuddy domestic and international versions, Yuanbao, ima, and can also be accessed via API calls through Tencent Cloud Tokenhub and OpenRouter. WorkBuddy/CodeBuddy will launch a limited-time free activity for two weeks. Since the reconstruction of the infrastructure, the Hunyuan large model has iterated a major version approximately every two months, continuously optimizing through a preview-first and formal version-following approach.

first_img ByteDance discusses training a model with over 50 trillion parameters, the Seed model team adjusts the architecture

According to LatePost, ByteDance is discussing a large model with training parameters exceeding 50 trillion, surpassing Alibaba's Qwen 3.8-Max (24 trillion) and Moonlight K3 (28 trillion), making it the largest known plan in the country so far. This plan is still in its early stages and does not guarantee a final release. The new model is intended to be led by Xiang Liang, head of Seed Foundation, in collaboration with Shen Ke, who is responsible for the pre-training data of large language models. Seed is reorganizing, dividing responsibilities, and allocating resources based on this.Two weeks ago, ByteDance founder Zhang Yiming held a company-wide meeting with Seed head Wu Yonghui. Zhang reassured the team that training large models is inherently difficult and that it is acceptable to lag behind for a period of time, hoping to aim for the upper limits of intelligence and join the world's top tier. He acknowledged that programming is a key direction at present, advocating for the integration of Volcano Engine, Feishu, and Doubao resources to build computational power and data advantages, while reminding not to be led by a single hot topic. He praised Seedance's differentiated leadership and clearly opposed distillation, believing it is difficult to truly surpass and that AGI barriers should be built from a more fundamental level, stating that the company will continue to increase investment in AI.In the past six months, Seed's multimodal performance has been outstanding, with Seedance 2.0, Seedream, and others driving Volcano Engine MaaS, but the market response to the language model Seed 2.0 has been limited, and its lagging coding capabilities have affected the revenue structure. ByteDance has hired Guo Daye at a high salary to specialize in coding and has consolidated related resources. In the face of the industry's general trend of increasing model sizes, ByteDance hopes to achieve a leapfrog advantage with a larger scale while promoting the elimination of horse racing and breaking down departmental walls to concentrate efforts on tackling challenges.

Intercontinental Exchange initiates bond financing in preparation for the $6 billion acquisition of MarketAxess

According to Bloomberg, the parent company of the New York Stock Exchange, Intercontinental Exchange (ICE), has launched the issuance of U.S. investment-grade bonds, just two weeks after the company announced its acquisition of the bond electronic trading platform MarketAxess for approximately $6 billion.Insiders revealed that ICE's bond issuance plan is divided into up to five parts, with maturities ranging from 3 to 10 years. The preliminary pricing guidance for the longest maturity bonds is about 1.15 percentage points above U.S. Treasury yields. ICE previously announced that it would acquire MarketAxess Holdings for approximately $6 billion to further expand its presence in the fixed income trading market. MarketAxess is one of the world's leading electronic bond trading platforms, primarily serving institutional investors and providing trading services for fixed income products such as corporate bonds and government bonds.This acquisition is seen as an important move by ICE to strengthen the infrastructure of the bond market. ICE currently owns the New York Stock Exchange (NYSE), futures exchanges, clearinghouses, and data services, while MarketAxess's electronic bond trading network will help ICE further expand its ecosystem for trading fixed income assets.Market participants indicate that as bond trading gradually becomes electronic, traditional exchange operators are competing for institutional investment market share by acquiring trading platforms and data companies. This financing also reflects the trend of large financial infrastructure companies supporting strategic mergers and acquisitions through the debt market.

Chinese-American crypto investor Harry Yeh fell from a 30-story building in Paraguay, and the police are investigating the cause of death

According to La Tribuna, the body of a Chinese man was found outside the Jade Park high-rise apartment in the Trinidad district of Asunción, Paraguay. Preliminary identification confirmed the identity as Harry Chun Tak Yeh, the founder and managing partner of Quantum Fintech Group. The police stated that he is suspected to have fallen from the 30th floor of the building, and his body was found completely naked and covered with a black plastic bag. Investigators found the apartment door on the 30th floor ajar, with the interior in disarray, and confirmed that he also owned another apartment on the 27th floor of the same building. Criminal technicians have collected evidence outside the building and from both apartments, and relevant physical evidence has been handed over to the prosecution. The prosecution is currently investigating multiple possibilities, including accident, suspected suicide, and homicide, while the judicial department will determine the specific cause of death and the circumstances through an autopsy.It is reported that Chinese-American cryptocurrency investor Harry Yeh entered the Bitcoin market in 2013 when the BTC trading price was $60. He launched his first fund with $250,000, and his investment network claims to manage over $2.4 billion in assets, closely linked with Fantom, Tomb Finance, Lif3, ZooCoin, L3 USD, and L3 Reserve.

The UK and the US expand cooperation on digital asset regulation, planning to establish comparable standards for stablecoins

The U.S. Department of the Treasury issued a joint statement outlining the discussions from the U.S.-UK Financial Regulatory Working Group meeting held on July 8 in London. The regulatory agencies from both sides expanded their collaboration in areas such as digital assets, stablecoins, payment modernization, AI, financial stability, capital markets, and cross-border financial cooperation. Participants included the finance departments of both countries, the Bank of England, the Federal Reserve, the UK's Financial Conduct Authority, and several U.S. financial regulatory agencies.The U.S. side introduced the implementation progress of the stablecoin GENIUS Act and the market structure for digital assets, while the UK side presented the digital strategy for wholesale financial markets. Both sides support comparable regulatory standards for stablecoins, including cross-border use, comparable treatment of similar risks, and that stablecoins used as currency should be backed by high-quality liquid assets at least on a one-to-one basis. The Federal Deposit Insurance Corporation has proposed implementation standards for the GENIUS Act, covering reserves, redemption, capital, liquidity, risk management, custody, and safekeeping.The Bank of England has released a draft rule for stablecoins that could achieve systemic scale in the UK economy, including a temporary issuance cap of £40 billion for each systemic stablecoin, unrestricted use by individuals and businesses, and reserve requirements. The Financial Regulatory Working Group is expected to hold another meeting in early 2027.
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