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Tech giants like Meta offer NBA-level salaries to attract top AI talent, valuing work environment and career growth. Talent scarcity drives market value up, reshaping industry competition.....

In Q2 2025, India's IT giants collectively fell into the AI vision bubble: Wipro secured a $2.7 billion order but saw both revenue and profits decline, TCS saw only 1.3% revenue growth while avoiding comments on the fate of its $1.5 billion AI pipeline, HCLTech boldly announced a collaboration with OpenAI but GenAI transactions dropped by 12%. The only bright spot was Tech Mahindra, whose net profit increased by 34%, but the overall industry remains stuck in a PowerPoint transformation dilemma. In contrast, Accenture has already achieved $4.1 billion in AI orders, showing that Indian companies still lack quantifiable AI financial indicators.

Aliyun open-sources the network agent WebSailor. Its 32B and 72B versions performed well in the BrowseComp evaluation, surpassing multiple closed-source models, ranking just behind OpenAI DeepResearch. The project has been released on GitHub with construction plans and datasets, promoting open innovation in the AI field and providing developers with a smarter web interaction tool.

In the media Q&A session after today's Honor Magic V5 and AI Terminal Ecosystem Launch, Honor CEO Li Jian, CFO Peng Qiuen, and Product Line President Fang Fei had in-depth discussions with the media. During the event, Honor officially announced support for the MCP and A2A protocols, and revealed that it will collaborate deeply with partners such as Alibaba, BYD, and Midea in the fields of intelligent service ecosystem, smart vehicle networking, and smart home. Honor CEO Li Jian emphasized in the conversation that 'openness' is the core philosophy of Honor. He pointed out...

According to a deep analysis of Mary Meeker's latest AI trend report, the world's largest tech companies are investing in AI research and development and capital expenditure on an unprecedented scale and speed. The report points out that over the past two decades, capital expenditures in the technology industry have been continuously increasing, initially for storing and accessing data, then for distributing and scaling, and now mainly focusing on computing and intelligence. This AI trend report highlights that by 2023, AI has evolved from a research function into an important capital expenditure project. The six major U.S. companies...

According to the latest report from Bloomberg, global renowned music companies including Universal Music Group, Warner Music Group and Sony Music Entertainment are in talks with two artificial intelligence startups, Udio and Suno, regarding copyright licensing. The aim of this negotiation is to establish a framework to ensure that AI companies can reasonably compensate artists for the use of their works. These two companies, Udio and Suno, focus on helping emerging music artists create songs; by simply providing prompts describing sounds or song themes, they can generate audio recordings.

China National Petroleum Corporation has officially released its latest Kunlun large model, with a parameter count as high as 300 billion. This milestone advancement marks an important step forward for China National Petroleum Corporation in the field of AI. The development of this large model was jointly created by four major giants: China National Petroleum Corporation, China Mobile, Huawei, and iFlytek. It is expected to complete formal filing by August 2024 and become the first approved large model in the energy and chemical industry. It is worth noting that the launch of the Kunlun large model was not accidental. As early as August 28 last year, China National Petroleum Corporation had launched a 33 billion parameter model.

Recently, several leading technology companies in the industry announced their joint investment to build a super-large artificial intelligence (AI) computing center called "Stargate UAE". This project is led by G42 Company of the UAE and jointly developed with international giants such as OpenAI, Oracle, NVIDIA, SoftBank, and Cisco, aiming to promote AI technology innovation and application in the Middle East region and even globally.

According to foreign media reports, Perplexity AI is in advanced negotiations for a funding round of up to $500 million, which is expected to push the company's valuation up to $14 billion. The round is being led by renowned venture capital firm Accel, marking the rapid rise of Perplexity in the AI search sector and its aim to challenge Google and Microsoft-backed OpenAI's dominance in search. AIbase observed that this news has sparked extensive discussions within the tech community, with investors showing extremely high enthusiasm for AI's potential to reshape the search market. Valuation surged

Giant Network's social deduction game, 'Space Kill,' has officially integrated Tencent's HunYuan large language model. This innovative move marks a significant step in the exploration of AI-native gameplay within the gaming industry. Currently, 'Space Kill' has generated over 7 million AI players using this model. These virtual players will engage in intense battles with the game's 200 million real users, providing players with a completely new gaming experience.

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.

At the 2025 China Mobile Cloud Intelligence Computing Conference, Yang Jie, Chairman of China Mobile Communications Corporation, revealed that by 2030, artificial intelligence (AI) tasks are projected to account for 60% of total network traffic. This indicates an increasing reliance on AI technologies in future networks, demanding more advanced compute network infrastructure. Yang Jie pointed out that the "rebound effect" of computing power is gradually emerging, with inference computing power expected to grow four times faster than training computing power by 2030. This shift will drive new demands for computing power services.

On March 27th, Alibaba launched its first multimodal large model, Qwen2.5-Omni-7B. This model boasts powerful capabilities, handling various input modalities such as text, images, audio, and video, and generating text and natural speech outputs in real-time. This innovative technological breakthrough marks another significant advancement for Alibaba in the field of artificial intelligence. In the authoritative OmniBench multimodal fusion task benchmark, Qwen2.5-Omni achieved...