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Zhihu recently released its Q4 2024 and full-year financial results. The data shows that Zhihu's annual revenue reached 3.6 billion yuan, a 14.3% decrease compared to last year. However, in Q4, Zhihu achieved a significant breakthrough, with revenue reaching 860 million yuan. Adjusted net profit was 97.1 million yuan, and operating profit was 23.1 million yuan, successfully achieving overall profitability. This marks the first time Zhihu has achieved overall profitability in a single quarter since its IPO.

Former Intel CEO Pat Gelsinger recently criticized Nvidia's pricing strategy for its AI GPUs on the Acquired podcast during Nvidia's 2025 GPU Technology Conference, arguing that the high cost makes them unsuitable for large-scale AI inference tasks. Gelsinger highlighted that inference is crucial for deploying AI models and that the industry should focus more on inference, a domain where Nvidia's technology falls short in terms of cost-effectiveness. Image source omitted.

Recently, DeepSeek announced a significant update on its official X account, stating that it will progressively open source five code repositories over the next week. The company reported that the currently completed online service module has undergone rigorous testing and deployment, making it ready for production use. DeepSeek emphasized that the intention behind sharing the code is to ensure that every line of code becomes a powerful driving force for advancing the industry. The company stated that there is no so-called ivory tower in this field, but rather a pure spirit of garage entrepreneurship and community building.

On February 21, 2025, Beijing time, the DeepSeek AI team, focused on exploring Artificial General Intelligence (AGI), made an exciting announcement on social media, officially kicking off their participation in the #OpenSourceWeek event. This small yet ambitious tech team announced that starting next week, they will open source five code repositories to share their research progress transparently with the global developer community.

Fei-Fei Li, a Stanford University computer scientist and founder of a startup, known as the 'Godmother of AI,' has proposed the 'three fundamental principles for future AI policy making' ahead of the upcoming Paris AI Action Summit next week. She emphasizes that AI policies must be based on 'science rather than science fiction.' Li believes that policymakers should focus on the realities of AI, rather than constructing grand future scenarios built on utopia or apocalyptic visions. She specifically points out that chatbots and co-pilot programs are not 'intelligent agents with intent, free will, or consciousness.'

At the recent Consumer Electronics Show (CES), NVIDIA CEO Jensen Huang delivered an ambitious speech about the future of artificial intelligence and robotics. He stated that the robotics industry is facing a 'trillion-dollar' market opportunity, with rapid growth expected in the coming years. Huang emphasized the application of AI models in various types of robots, particularly humanoid robots and autonomous vehicles. He mentioned that NVIDIA's collaboration with Toyota will advance autonomous driving technology.

Recently, Felix Hill, a research scientist at Google DeepMind, tragically passed away at the age of 41 due to mental health issues. This news has sparked widespread attention and mourning within the AI community. Felix had been struggling with severe mental health problems since early 2023, exhibiting significant depression and suicidal tendencies. Despite his notable achievements in academia, he ultimately could not overcome his internal struggles. Felix Hill was an outstanding AI scholar who contributed to the creation of natural language processing.

Recently, X-ORIGIN-AI announced the successful completion of hundreds of millions of RMB in angel round financing, led by Alpha Community, with multiple industry investors participating in the follow-up investment, and Ren Chen Capital serving as the exclusive financial advisor. The funds raised will mainly be used for technology research and development, talent recruitment, and market expansion, aiming to further advance the development and implementation of its all-scenario consumer-grade AI robot products. Image source note: Image generated by AI, image authorized by service provider Midjourney. X-ORIGIN-AI focuses on developing companion robots.

OpenAI recently stated that there are currently no plans to release its AI video generation model, the Sora API. The Sora model can generate highly realistic videos based on textual descriptions or reference images. During an AMA (Ask Me Anything) event with the OpenAI developer team, Romain Huet, the Director of Developer Experience at OpenAI, clearly stated that the Sora API is not currently in the plans. 'We do not have any plans for the Sora API at this time.'

Alibaba DAMO Academy, in collaboration with the ModelScope community, recently announced the open sourcing of a new multilingual benchmark testing set, P-MMEval, aimed at comprehensively evaluating the multilingual capabilities of Large Language Models (LLMs) and conducting comparative analysis of cross-language transfer abilities. This testing set covers efficient datasets for both basic and specialized capabilities, ensuring consistency in multilingual coverage across all selected datasets, and provides parallel samples across multiple languages, supporting up to 10 languages from 8 different language families, including English, Chinese, and Arabic.

Recently, a unique AI capability assessment took place on the Minecraft platform, attracting a lot of attention. The old and new versions of Claude3.5Sonnet competed in building challenges, highlighting significant differences in their abilities, with the new version (tentatively called Sonnet3.6) performing especially well. This test, initiated by developer adi, has been humorously dubbed the only reliable assessment benchmark. Assessment researcher Aidan McLau believes this method precisely meets the current needs for AI evaluation and points out the relationship with aesthetic abilities.

In the latest report from the developer platform GitHub, Python has successfully surpassed JavaScript to become the most widely used programming language. This shift is primarily attributed to the ongoing boom in generative artificial intelligence (AI). The increasing significance of Python in machine learning, data science, and scientific computing has propelled its rise in the open source community. GitHub notes that Python's popularity is linked to the growing number of STEM (Science, Technology, Engineering, and Mathematics) developers.