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Alibaba Group announced the release of an upgraded version of its flagship AI model Qwen3, which has successfully been adapted to Apple's MLX architecture. This indicates that the launch of Apple Intelligence in the Chinese market may be imminent. According to Alibaba, the new Qwen3 version boasts stronger performance, supporting 119 languages and dialects, further enhancing user experience. In the previous iOS 18.4 update, Apple Intelligence had already started supporting Simplified Chinese, but its generation ...

As the Class of 2025 graduates prepare to enter the workforce, internet companies are actively engaging in a fierce "talent war." Companies such as Tencent, Didi, Meituan, and Baidu are launching large-scale recruitment plans, particularly focusing on setting up internship positions to offer more opportunities to fresh graduates. Recently, Qiao Zijiang, a junior student from Xi'an University of Posts and Telecommunications, successfully joined Tencent, becoming one of the witnesses to this competition. Image source note: The image is generated by AI, and the image licensing service provider is Midjourney. In April this year, Tencent announced that it would add 28,000 new jobs within the next three years.

nEye Systems Inc., a silicon photonics startup, announced today that it has closed a $58 million Series B funding round. The investment was led by CapitalG, the growth equity investment arm of Alphabet Inc., Google's parent company. Other participants include Microsoft's M12, Micron Ventures, Nvidia, and Socratic Partners. This brings nEye's total funding to over $72 million.

Oxford-based startup Lumai, a key player in AI infrastructure, has announced securing over $10 million in funding. The round was led by deep tech investor Constructor Capital, with participation from IP Group, Ventures, Journey Ventures, LIFTT, Qubits Ventures, State Farm Ventures, and TIS.

Faster data transfer speeds are crucial for advancements in AI. Lightmatter, a Mountain View-based startup valued at $4.4 billion, has announced two new technologies to accelerate connections between AI chips. Having raised $850 million in venture capital, Lightmatter is part of the burgeoning silicon photonics trend in Silicon Valley. Their innovation lies in using optical fiber to transmit data via light signals instead of traditional electrical signals.

Silicon-Based Flow's official WeChat account announced that, effective immediately, the DeepSeek-R1 & V3 APIs on the SiliconCloud platform now support batch inference (BatchInference). Users can send requests to SiliconCloud via the batch API, unaffected by real-time inference rate limits, with task completion expected within 24 hours. Compared to real-time inference, DeepSeek-V3 batch inference pricing is reduced by 50%. From March 11th to March 18th, DeepSeek-R1 will enjoy a 75% price reduction.

Tianyancha App shows that Beijing Silicon-based Liquid Technology Co., Ltd. recently underwent a major business change. In this change, Beijing Zhipu AI Technology Co., Ltd. withdrew from the shareholder ranks, while four new investors were added: Meituan's Tianjin SanKuai Technology Co., Ltd., Beijing Xinglian Dingsen Equity Investment Fund Partnership (Limited Partnership), Nanjing LvYong Jinhao Equity Investment Management Partnership (Limited Partnership), and SME Development Fund PwC (Hangzhou) Venture Capital Partnership (Limited Partnership). After this round of financing, the registered capital of Silicon-based Liquid increased from approximately RMB 13.758 million...

Sesame's newly released Conversational Speech Model (CSM) has recently sparked heated discussions on X, lauded as a voice model that sounds "just like a real person." Its stunning naturalness and emotional expressiveness not only make it indistinguishable from human speech for users, but also claim to have successfully overcome the uncanny valley effect in the field of voice technology. With the spread of demonstration videos and user feedback, CSM is rapidly becoming a leader in AI voice technology.

Recently, discussions have arisen regarding the early development of Silicon-based Fluid following reports of its completion of Pre-A round financing. A previous report by Venture Capital Daily stated that in the second half of 2023, DeepSeek's founder Liang Wenfeng expressed interest in investing in Silicon-based Fluid, with the condition of open-sourcing its self-developed LLM inference engine, which was reportedly rejected by Silicon-based Fluid's CEO Yuan Jinhui. In response, Yuan Jinhui denied these claims today, stating that his mention of not collaborating with Liang Wenfeng in 2023 was an expression of regret over his own lack of foresight.

The annual Super Bowl championship is considered a national holiday by Americans. The 59th Super Bowl in 2024 was held in New Orleans, where the Philadelphia Eagles achieved a stunning victory over the Kansas City Chiefs with a score of 40 to 22, shattering their opponent's dream of a three-peat. The Super Bowl is not only the annual championship game of the National Football League (NFL), but it is also a cultural event that draws the attention of billions. Since 2004, the Super Bowl has been held on the first Sunday of February every year. Americans gather to enjoy pizza, beer, and fried chicken while watching together.

Silicon Valley-based artificial intelligence startup Shield AI recently announced that its valuation has nearly doubled to $5 billion in a new funding round. The San Diego-based company focuses on developing AI-driven software for drones and autonomous aircraft, planning to raise approximately $200 million from several defense and aerospace companies, including well-known firms such as Palantir, Airbus, and L3 Harris. Venture capital firms Andreessen Horowitz, Point72, and Ri.

Recently, Alibaba Damo Academy launched a multi-modal large language model named Valley 2, designed for e-commerce scenarios. It aims to enhance performance across various fields and expand the application boundaries of e-commerce and short video scenarios through a scalable vision-language architecture. Valley 2 utilizes Qwen 2.5 as its LLM backbone, paired with the SigLIP-384 visual encoder, incorporating MLP layers and convolution for efficient feature transformation.