#AI

Tsinghua University’s Li Daokui advises young job seekers to adopt a versatile skillset, suggesting adaptability is key in the modern era. He advocates for a blend of abilities, from physical tasks like package delivery to technical skills like coding and interpersonal customer service. This approach, he argues, prepares individuals to avoid being replaced by AI and opens doors to entrepreneurial opportunities. The commentary has sparked online debate regarding the practicality and compensation for such diverse skill requirements.

Tech giants are heavily investing in nuclear fusion power to meet the escalating energy demands of AI growth. Google, among others, is making significant investments and securing power purchase agreements with fusion startups like Commonwealth Fusion Systems. This trend extends to investments in fission power and small modular reactors. China is also increasing its nuclear energy investments. The rapid advancements in AI are driving this surge of interest and investment in nuclear energy solutions.

Corporate tax filings ending May show robust growth for key economic sectors. Digital economy, high-tech, and robotics industries saw a 7.1% rise in operating revenue and a 5.2% profit surge. Leading tech companies experienced an 11.9% revenue and 19.7% profit increase. The high-tech sector, particularly aerospace and scientific research, also reported significant gains. Robotics, specialized for challenging environments, led sector growth.

Tencent’s 2024 Sustainable Social Value Report showcases its commitment to “AI for good.” Through internal development and open-source contributions, Tencent leverages its large models, like Hunyuan, across sectors like education, healthcare, rural revitalization, and cultural preservation. The report highlights AI applications from predicting altitude sickness to aiding medical diagnoses and deciphering ancient inscriptions, demonstrating Tencent’s strategy to integrate AI for societal benefit and foster a collaborative ecosystem for sustainable development.

Baidu has open-sourced its ERNIE 4.5 AI models, featuring multi-modal Mixture-of-Experts with enhanced orthogonality. Modong Space, China’s national computing platform, is the first to integrate these advanced models. ERNIE 4.5 optimizes training and inference for improved text generation, image comprehension, and multi-modal reasoning, catering to diverse real-world applications.

A viral video shows a car erupting in flames while refueling, possibly caused by the driver’s continuous manipulation of a beaded bracelet. The friction from the beads is theorized to have created a spark that ignited gasoline vapors. The incident highlights gas station safety, emphasizing the risk of static electricity and vapors, and advising patrons to discharge static and avoid leaning over the fuel intake.

Qifu Technology, Inc. shareholders approved a rebranding to Qfin Holdings, Inc. and restated Articles of Association. Deloitte Touche Tohmatsu was reappointed as auditor, and Mr. Xiangge Liu will continue as director. These changes reflect the Chinese AI-powered Credit-Tech platform’s commitment to strengthening governance and identity in the evolving fintech sector.

Huawei has open-sourced its Pangu 7B dense and Pangu-Pro MoE 72B large language models, along with Ascend-based inference technology. This move supports Huawei’s Ascend ecosystem strategy, aiming to accelerate AI research and application. The Pangu-Pro MoE 72B model shows strong performance, ranking highly on benchmarks for models under 100 billion parameters.

HPE and Juniper Networks have reached an agreement with the DOJ, clearing the path for HPE’s acquisition of Juniper. This deal, valued at approximately $14 billion, aims to reshape the networking landscape. Combining HPE’s strengths in areas like AI and hybrid cloud with Juniper’s networking expertise will create a modern network architecture tailored for AI workloads, fostering competition and accelerating innovation in the market. As part of the settlement, HPE will divest its global Instant On business.

OpenAI is diversifying its AI infrastructure by utilizing Google’s TPUs alongside NVIDIA GPUs, as part of its drive for computational power, including for ChatGPT. This move, motivated by cost management and infrastructure diversification, could boost the profile of Google’s TPUs as an alternative to NVIDIA’s GPUs. The partnership, however, shows competitive dynamics, with Google limiting access to its most powerful TPUs.