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According to a report by Bloomberg, in January this year, the low-cost and high-performance AI model launched by Chinese AI company DeepSeek caused a shock in the global technology community and brought significant urgency to China's tech giant Alibaba. To quickly catch up with this technological breakthrough, engineers at Alibaba canceled their vacation during the most important traditional Chinese festival — the Spring Festival — choosing to stay overnight in the company and fully commit themselves to AI R&D. Chairman of Alibaba, Joseph Tsai, vividly told this story of racing against time at the VivaTech Science and Technology Conference held in Paris on Wednesday.

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

Recently, Sam Altman, CEO of OpenAI, announced on social platform X that the open source model originally scheduled for release in early summer will now be delayed until late summer. This news came as a surprise to industry insiders who were all looking forward to the launch. However, Altman explained that this delay was due to some "unexpected and quite impressive" achievements made by the team during the R&D process. In his post, Altman mentioned that OpenAI wants to spend more time on the weights of the open source model to ensure the best possible outcome.

The field of artificial intelligence continues to develop rapidly, and DeepSeek's latest update for its R1-0528 model has drawn significant attention from the developer community. According to AIbase, the upgraded DeepSeek R1-0528 now supports local tool calls on OpenRouter, a major improvement that enables developers to seamlessly integrate local tools into their AI workflows. Local tool calls enhance workflow efficiency. DeepSeek R1-0528 is an open-source inference model that rivals Ope

A new study led by Apple researchers has poured cold water on the current large reasoning models (LRMs) that are highly anticipated. The research found that when solving complex tasks, reasoning models designed to simulate thinking processes, such as Claude3.7Thinking and Deepseek-R1, not only failed to show advantages but also exhibited serious problems like insufficient reasoning and performance collapse. This study tested four classic logical puzzles: the Tower of Hanoi, Checkers, River Crossing, and Block World. These puzzles allow precise control over the tasks.

Google recently released its latest preview version of Gemini2.5Pro, a product known as the 'most intelligent' model, which was first announced in March and then updated in May. The preview version aims to give enterprises an opportunity to test new applications or replace earlier versions. According to Google's official blog, this new version performs better in responsiveness and creativity, while surpassing other models in coding and reasoning ability. At the I/O Developer Conference in May, Google revealed that Gemini2.

Silicon Valley investor Mary Meeker's latest released AI report reveals that the global AI competition landscape is experiencing profound reshaping. Chinese strength and open source wave are shaking up the ecosystem dominated by top companies like OpenAI, entering a new stage of 'contested supremacy'. The report points out that China's large language models are rapidly catching up with the U.S., with models such as DeepSeek, Alibaba Qwen, and Baidu Wenxin Yiyan showing excellent performance in core tasks such as code generation and mathematical reasoning.

At today's Huawei Smart Wearable and Fitness New Product Technology Communication Conference, Huawei officially released its latest flagship product - the Huawei WATCH5 smartwatch. This watch not only continues to pursue fashion and technological feel in design, but also makes significant technical upgrades in functionality, especially in the fitness and health domain. The Huawei WATCH5 will integrate with two powerful artificial intelligence large models - the Pangu large model and the DeepSeek large model. The introduction of these models will enable the watch to enhance voice interaction and fitness and health capabilities.

Recently, Stanford University released a comprehensive evaluation of clinical medical AI models. DeepSeek R1 stood out as the champion among nine leading large models, achieving a 66% win rate and a macro average score of 0.75. The highlight of this evaluation is that it not only focuses on traditional medical license exam questions but also delves into the daily work scenarios of clinical doctors, providing more practical assessments. The evaluation team developed an integrated assessment framework called MedHELM, which includes 35 benchmarks covering 22 subtasks in medicine.

Recently, DeepSeek released an updated version of its latest R1 reasoning AI model, which demonstrated excellent performance in multiple math and coding benchmarks. However, DeepSeek did not disclose the source of the training data for its model, leading some AI researchers to question it and speculate that the model may have been partially trained based on Google's Gemini AI series. Melbourne developer Sam Paeach claimed that he found...

The model and API independent analysis company, Artificial Analysis, released its latest evaluation report on DeepSeek R1-0528. The results show that DeepSeek R1 has made significant breakthroughs in technical performance, surpassing xAI, Meta, and Anthropic, and is now on par with Google, becoming the world's second largest artificial intelligence lab. At the same time, DeepSeek has also established its undisputed leadership position in the field of open-source weights.

Recently, ByteDance's Volcano Engine Large Model Service Platform, Volcano Ark, officially announced the integration of the latest version of DeepSeek-R1-0528. This move not only demonstrates ByteDance's technical strength in the field of large model services but also provides more efficient and convenient large model application experiences for enterprise users and developers. The Volcano Ark platform has built a high-performance service system targeting the core requirements of large model applications, namely speed and stability. By using its self-developed xLLM high-performance inference framework, the platform achieves a model latency as low as 30ms per T.

Tencent Coins officially announced the integration with the latest version of DeepSeek R1-0528, providing early access on both desktop and web versions. This model update brings three significant changes, offering users a more premium and efficient AI experience. In terms of reasoning ability, the new model demonstrates stronger capabilities. It can handle complex code issues and conduct in-depth analyses of various problems quickly and accurately, providing reliable solutions for users. This improvement makes Tencent Coins more practical in work and learning scenarios.