Sun Tianxiang has officially joined Baidu as the head of the Basic Model R&D Department.
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Gu Yuxian, a Tsinghua University Special Scholar, joined DeepSeek, where he previously led the development of large-scale model distillation and a 50x speedup for long text processing.
According to Beating's monitoring, Gu Yuxian, a PhD graduate from the Department of Computer Science at Tsinghua University and recipient of the 2025 Graduate Special Scholarship, has officially joined DeepSeek, and his name has appeared in the author list of the DeepSeek V4 paper. Gu Yuxian's research mainly focuses on efficiency optimization of large models in the pre-training, model compression, and inference stages, and has been cited nearly 5,000 times on Google Scholar. Gu Yuxian's previous representative works include the knowledge distillation method MiniLLM for large models (which has been adopted by platforms such as Google, Alibaba, and NVIDIA), and the hybrid architecture model Jet-Nemotron. Jet-Nemotron achieves a 53.6 times faster throughput than traditional full-attention models when processing 256K ultra-long contexts on an H100 GPU, and surpasses hybrid expert models with larger parameter scales in multiple benchmark tests.
Fhenix acquires FHE infrastructure company Sunscreen, whose founder will become head of research.
According to Foresight News , Fhenix, a fully homomorphic encryption (FHE) Layer 2 project, has announced the completion of its acquisition of FHE infrastructure company Sunscreen. The specific acquisition amount was not disclosed. Sunscreen founder Ravital Solomon has joined Fhenix as Head of Research. Fhenix stated that this acquisition is expected to enhance its research and development capabilities in the field of on-chain privacy computing. Sunscreen focuses on applying fully homomorphic encryption technology to the blockchain field. It is one of the early explorers in this field and has also developed relatively advanced compiler technology in the ecosystem, aiming to lower the barrier to entry for developers to use cryptographic computing.
Ministry of Human Resources and Social Security: By 2030, the large-scale model of the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound.
According to Mars Finance, the Ministry of Human Resources and Social Security, the National Development and Reform Commission, the Ministry of Industry and Information Technology, and the National Data Administration recently jointly issued the "Implementation Opinions on Accelerating the Application and Development of 'Artificial Intelligence + Human Resources and Social Security'". A relevant official from the Ministry of Human Resources and Social Security answered reporters' questions regarding the "Implementation Opinions". In terms of promoting the work, a three-step work goal will be achieved within five years. First, building the foundation. Taking this year (2026) as a benchmark, the initial formation of the artificial intelligence application system, standard system, and guarantee system in the human resources and social security sector will be promoted. The infrastructure for "Artificial Intelligence + Human Resources and Social Security" applications will be deployed, a number of high-performance human resources and social security industry large-scale models and intelligent agent applications will be cultivated, and about 20 application scenarios based on human resources and social security industry large-scale models and corresponding high-quality datasets will be created, forming a collaborative development ecosystem of computing power, models, data, and scenario applications. Second, popularization and promotion. By 2027, a number of human resources and social security industry large-scale models and intelligent agents will be widely applied, and about 50 high-value application scenario empowerment paths will be explored, achieving significant results in intelligent development. Third, widespread application. By 2030, high-quality datasets will be effectively supplied, large-scale models for the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound, forming an innovative landscape where artificial intelligence is widely applied in the human resources and social security sector. (Cailian Press)
US pre-market news at a glance: Samsung's earnings report triggered a collective weakness in semiconductor stocks in pre-market trading; SpaceX officially debuts on the Nasdaq 100 today.
According to BlockBeats, the following are key market news items before the US stock market opened on July 7th: 1. Samsung released its Q2 earnings forecast, showing an operating profit increase of over 1800% year-on-year, with single-quarter profits exceeding the total of the previous three years. Simultaneously, the company's revenue also increased by 129% year-on-year, reaching 171 trillion won. Affected by the semiconductor sell-off triggered by the "sell-off" of Samsung's earnings, chip-related technology stocks generally weakened in pre-market trading. The three major US stock futures indices showed mixed results in pre-market trading: Dow Jones futures rose 0.41%, Nasdaq 100 futures fell 0.9%, and S&P 500 futures fell 0.09%. 2. SpaceX officially debuted on the Nasdaq 100 before the US stock market opened today, with Wall Street institutions collectively bullish. Most institutions believe that SpaceX is no longer just a traditional aerospace company, but a platform company with the potential for rocket launches, Starlink satellite internet, AI infrastructure, and future space computing. 3. DeepSeek is secretly developing its own inference chip. If successful, this would reduce reliance on external suppliers and give it more cost-effective hardware control. However, the project is still in its early stages and faces manufacturing and memory acquisition restrictions due to US export controls. 4. UBS recommends investors buy SK Hynix's upcoming American Depositary Receipts (ADRs) and sell its South Korean shares, as these new shares are expected to trade at higher prices. 5. JPMorgan strategists say the recent weakness in semiconductor stocks should be seen as a buying opportunity, as the chip upcycle is not yet over, and truly meaningful new supply may not appear until 2028. 6. US ADP employment change for the week ending June 20 was 21,000, compared to 30,750 in the previous week. 7. BlackRock will launch an ETF tracking the tech-heavy Nasdaq 100 index, aiming to meet investors' growing demand for participation in the AI-driven stock market rally and challenge Invesco's dominant position. 8. Amazon is returning to the US bond market to raise funds for its artificial intelligence infrastructure. The company will issue eight benchmark bonds with maturities ranging from 3 to 40 years, raising at least $25 billion in the dollar bond offering. 9. Global brokerages have begun coverage research on Elon Musk's SpaceX (SPCX.O), and a preliminary consensus has formed on Wall Street: buy the stock. At least six brokerages, including Morgan Stanley, Goldman Sachs, and UBS, have given it a buy rating, optimistic about its long-term growth prospects, although doubts remain about profitability and valuation.
Ashkan Seyedi, former NVIDIA executive in optical interconnect technology, has joined ams Osram as head of its optical interconnect business.
ams OSRAM announced on July 2nd that Ashkan Seyedi, former senior executive in optical interconnect technology at NVIDIA, has officially joined the company as Vice President and General Manager of the Optical Interconnect Business Line, responsible for driving the development of optical interconnect technologies for next-generation AI data centers. Seyedi previously led optical interconnect technology R&D at NVIDIA, participating in the development of high-speed optical communication technologies for AI clusters and data centers. (Jiemian)
Tencent announced that Tian Yonglong, a former researcher at OpenAI, has joined the company to participate in the development of VLM.
According to sources at Tencent, Yonglong Tian, a former researcher at OpenAI, has recently joined Tencent's Large Language Model Department and will participate in the research and development of VLM (Visual Language Model). This marks another instance of Tencent poaching talent from OpenAI. On December 17th last year, Tencent announced an upgrade to its large model R&D architecture, establishing the AI Infra Department, AI Data Department, and Data Computing Platform Department. Former OpenAI senior researcher Yao Shunyu was appointed as the Chief AI Scientist in the "CEO/President's Office" (reporting to Martin Lau), and concurrently served as the head of the AI Infra Department and the Large Language Model Department (reporting to Lu Shan). This announcement garnered widespread attention on social media. (The Paper)