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阿里发布并开源千问3,称成本仅需DeepSeek-R1三分之一
Di Yi Cai Jing· 2025-04-29 00:33
Core Insights - Alibaba Cloud has launched the new Qwen3 model, which is the first "hybrid reasoning model" in China, integrating "fast thinking" and "slow thinking" into a single model, significantly reducing deployment costs and enhancing performance compared to previous models [1][4] Group 1: Model Performance and Architecture - Qwen3 features a total parameter count of 235 billion, with only 22 billion activated, and utilizes a mixture of experts (MoE) architecture [2][3] - The model has achieved a performance leverage of over 10 times with its 30B parameter MoE model, requiring only 3 billion to match the performance of the previous Qwen2.5-32B model [3] - Qwen3 has outperformed global top models like DeepSeek-R1 and OpenAI-o1 in various benchmarks, securing its position as the strongest open-source model globally [1][2] Group 2: Cost Efficiency and Deployment - The deployment cost for Qwen3 has significantly decreased, requiring only 4 H20 units for full deployment, with memory usage being one-third of that of DeepSeek-R1 [1][3] - All Qwen3 models are hybrid reasoning models, allowing users to set a "thinking budget" for performance and cost optimization in AI applications [3][4] Group 3: Future Developments and Goals - Future enhancements for Qwen3 will focus on expanding data scale, increasing model size, extending context length, and broadening modality range, while leveraging environmental feedback for long-term reasoning [4] - The Qwen3 team views this launch as a significant milestone towards achieving general artificial intelligence (AGI) and superintelligent AI (ASI) [4]
最强开源模型!阿里发布并开源Qwen3,无缝集成思考模式、多语言、便于Agent调用
硬AI· 2025-04-29 00:18
点击 上方 硬AI 关注我们 Qwen3系列包括两个专家混合 (MoE) 模型和另外六个模型。阿里巴巴表示,最新发型的旗舰模型Qwen3- 235B-A22B在代码、数学、通用能力等基准测试中,与DeepSeek-R1、o1、o3-mini、Grok-3和Gemini- 2.5-Pro等顶级模型相比,表现出极具竞争力。 此外,被称为"专家混合"(MoE,Mixture-of-Experts)模型的Qwen3-30B-A3B的激活参数数量是QwQ- 32B的10%,表现更胜一筹,甚至像Qwen3-4B这样的小模型也能匹敌Qwen2.5-72B-Instruct的性能。这 类系统模拟人类解决问题的思维方式,将任务划分为更小的数据集,类似于让一组各有所长的专家分别负 责不同部分,从而提升整体效率。 | | Qwen3-235B-A22B | Qwen3-32B | OpenAl-o1 | Deepseek-R1 | Grok 3 Beta | Gemini2.5-Pro | OpenAl-o3-mini | | --- | --- | --- | --- | --- | --- | --- | --- | | | ...
谷歌DeepMind CEO谈AGI愿景:十年内成为现实,因安全问题彻夜难眠
3 6 Ke· 2025-04-28 11:06
Group 1 - The core viewpoint of the article is that AGI (Artificial General Intelligence) may be achieved within the next decade, with significant advancements in AI research and development being made by companies like Google DeepMind [1][3][4] - Demis Hassabis, CEO of Google DeepMind, emphasizes the transformative potential of AGI in addressing major global challenges such as diseases and energy crises, while also warning of the risks associated with its misuse [1][4][5] - The article discusses the importance of defining AGI accurately, with Hassabis stating that the timeline for its realization depends on how AGI is defined, highlighting the need for a consistent definition that encompasses human cognitive abilities [3][12] Group 2 - Hassabis identifies two main risks associated with AI: the potential for malicious use of AI technologies and the challenges of maintaining human control over increasingly autonomous systems [5][7] - He calls for the establishment of a global governance framework for AI, emphasizing the need for international cooperation to create safety standards and regulatory measures [7][10] - The article highlights the necessity of a multi-dimensional risk assessment system to proactively address potential dangers posed by AI technologies [9][10] Group 3 - The discussion includes the philosophical implications of AGI, particularly regarding wealth distribution and the potential need for political reform in a future of extreme abundance enabled by AI [21][22][24] - Hassabis suggests that achieving extreme abundance through technological advancements could fundamentally change the nature of resource scarcity and inequality, necessitating new political philosophies [22][23][24] - The article concludes with a call for new philosophical frameworks to address the societal changes brought about by AGI and its impact on human life and governance [20][24][25]
DeepMind CEO 放话:未来十年赌上视觉智能,挑战 OpenAI 语言统治地位
AI前线· 2025-04-25 08:25
整理|冬梅、核子可乐 去年成功斩获诺贝尔奖之后,Demis Hassabis 决定与一位国际象棋世界冠军打场扑克以示庆 祝。Hassabis 一直痴迷于游戏,这股热情也成为他 AI 先驱之路上的契机与驱力。 近日,做客一档名为《60 分钟》的访谈栏目,讲述了他如何带领众多研究者追逐新的技术"圣 杯"——通用人工智能(AGI),一种兼具人类灵活性与超人般速度与知识储备的硅基智能形态。 除此之外,他也在访谈中透露了 DeepMind 未来的研究方向以及有可能亮相的产品和技术。 "天才少年"Hassabis AI 之旅始于国际象棋 Hassabis 于 2010 年与他人共同创立了了 AI 公司 DeepMind,2014 年该公司被谷歌以 5 亿多 美元收购。2017 年,他发明了 AI 算法 AlphaZero,它只需要国际象棋规则和四个小时的自对 弈,就能成为有史以来最强的国际象棋选手,击败人类国际象棋大师。 2024 年,Hassabis 与同为诺贝尔化学奖得主的 DeepMind 总监约翰·江珀 (John Jumper) 共同 获得了诺贝尔化学奖,获奖原因是他创建了一个 AI 模型 AlphaFold2 ...
科大讯飞业绩重回双位数增长通道,刘庆峰称坚定深耕底座大模型
南方财经全媒体记者林本森 广州报道 在经历近两年的调整后,科大讯飞(002230.SZ)业绩重返双位数增长通道。 面对技术浪潮与市场变化,科大讯飞继续押注公司在AI(人工智能)领域的战略布局方向。 公司管理层在多个场合强调,将坚定执行以"讯飞星火"认知大模型为核心的"1+N"战略,抓住通用人工 智能(AGI)时代的"根"红利。 科大讯飞2024年财报显示,全年实现营业收入233.43亿元,同比增长18.79%,突破了200亿元大关,时 隔两年重回双位数增长。当期归母净利润为5.6亿元,扣除非经常性损益后的净利润实现了近60%增 长。 营收重返双位数增长通道 数据显示,科大讯飞全年实现营业总收入233.43亿元,相较于2023年的196.50亿元,增长了18.79%,毛 利较上年同期增长了15.68亿元。 科大讯飞主营业务的增长主要得益于公司在智慧教育、开放平台及消费者业务等板块的良好表现。 具体而言,开放平台及消费者业务实现收入78.86亿元,同比增长27.58%,蝉联公司第一大业务板块, 营收结构持续改善。细分来看,平台消费者业务中,开放平台、智能硬件分别实现收入51.72亿元、 20.23亿元、6.91亿 ...
年收入重回双位数增长、Q4单季盈利创历史新高!科大讯飞抢抓AGI“根红利”
Sou Hu Cai Jing· 2025-04-24 07:26
Core Insights - In 2024, iFlytek achieved a revenue of 23.343 billion yuan, marking an 18.79% year-on-year growth, returning to double-digit growth after two years, with a net profit of 560 million yuan [1] - The fourth quarter showed strong performance with a revenue of 8.494 billion yuan, accounting for 36.4% of the annual revenue, and a net profit of 904 million yuan [1] - In Q1 2025, iFlytek continued its growth trend with a revenue of 4.658 billion yuan, a 27.74% increase year-on-year, and net profits growing by 35.68% [1] Business Segments - The core business segment of iFlytek maintained steady growth, with the open platform and consumer business generating 7.886 billion yuan, a 27.58% increase [3] - Revenue from the open platform and smart hardware reached 5.172 billion yuan and 2.023 billion yuan, growing by 31.33% and 25.07% respectively [4] - The smart education business generated 7.229 billion yuan, reflecting a 29.94% year-on-year growth [5] Strategic Initiatives - iFlytek aims to leverage the advantages of general artificial intelligence (AGI) and focus on developing a leading general model on a fully controllable platform [2] - The company plans to enhance its multilingual model offerings, targeting international markets, particularly along the Belt and Road Initiative [4] - iFlytek's medical segment, iFlytek Medical, successfully listed on the Hong Kong Stock Exchange, with significant revenue growth across its three business lines [8] R&D and Innovation - In 2024, iFlytek's R&D investment reached 4.58 billion yuan, accounting for 19.62% of its revenue, focusing on model development and core technology [9] - The upgraded deep reasoning model, iFlytek Spark X1, shows significant improvements in various tasks while maintaining a smaller parameter size compared to industry peers [9] - iFlytek emphasizes the importance of developing industry-specific models based on its foundational models, ensuring higher quality and adaptability [10] Market Position and Challenges - Despite challenges from the US-China trade tensions, iFlytek's domestic revenue remains strong, and the company continues to pursue international opportunities [11] - The company believes that the current geopolitical climate presents more opportunities than risks, particularly in the context of global interdependence [12]
直击业绩会 | 科大讯飞董事长刘庆峰回应坚持研发底座大模型:比开源模型训练效果更好
Mei Ri Jing Ji Xin Wen· 2025-04-23 13:46
Core Viewpoint - The company achieved significant sales collection and improved cash flow in 2024, indicating a positive business outlook despite a decline in net profit [2][3]. Financial Performance - In 2024, the company reported total revenue of 23.343 billion yuan, a year-on-year increase of 18.79%, marking a return to double-digit growth after two years [3]. - The net profit attributable to shareholders was 560 million yuan, a decrease of 14.78% compared to the previous year [3]. - In Q1 2025, the company generated revenue of 4.658 billion yuan, up 27.74% year-on-year, but reported a net loss of 193 million yuan [3]. - The operating cash flow for the year was 2.495 billion yuan, a 613% increase from the previous year [2][3]. Cash Flow and Collection Mechanism - The company optimized its collection mechanism, leading to a historical high in cash flow, with a dedicated department for receivables and a supportive GBC (Government, Business, Consumer) structure [5]. - The operating cash flow turned positive in Q4 2024, reaching 3.316 billion yuan [4]. Business Structure and Revenue Growth - The proportion of sustainable revenue increased from approximately 65% in 2023 to 70% in 2024, following a reduction in product lines from 60 to 46 [5]. - The largest business segment, open platform and consumer business, generated revenue of 7.886 billion yuan, a 27.58% increase [5]. - The smart education segment achieved revenue of 7.229 billion yuan, growing by 29.94% [5]. - Sales of AI learning machines increased by over 100% in the first three quarters of 2024 [5]. Sector-Specific Revenue - Revenue from smart automotive, smart healthcare, and enterprise AI solutions reached 989 million yuan, 692 million yuan, and 643 million yuan, respectively, with growth rates of 42.16%, 28.18%, and 122.56% [6]. R&D Strategy - The company continues to invest in foundational model research despite market trends, citing the superior performance of its proprietary models compared to those trained on open-source models [7]. - The chairman emphasized the strategic importance of developing foundational models on domestic computing platforms, which are crucial for national security and trust among key clients [7].
福耀科技大学常务副校长徐飞:AGI时代为什么更需要经典阅读?
Mei Ri Jing Ji Xin Wen· 2025-04-23 07:55
Group 1 - The rapid development of Artificial General Intelligence (AGI) is reshaping knowledge production and human cognition, leading to a historical turning point for civilization [1][4] - The average daily screen time for humans has reached 6.2 hours, with 78% of information acquisition relying on algorithmic recommendations, resulting in fragmented attention and a decline in deep reading ability by 12% annually [1][2] - Long-term use of recommendation algorithms has led to a 47% decrease in viewpoint diversity among users compared to a decade ago [2] Group 2 - The rise of generative AI poses a cognitive crisis, as 83% of university students cannot distinguish between AI-generated and human-authored academic papers [4] - The reliance on algorithms for knowledge acquisition undermines critical thinking and the traditional process of knowledge construction [4][10] - The value judgment system is collapsing as algorithms prioritize user preferences, reducing complex ethical considerations to quantifiable metrics [4][10] Group 3 - Classic texts serve as a unique value, acting as a spiritual anchor that transcends time and offers insights into human experience [5][6] - Classics are subjected to a rigorous selection process over time, allowing each generation to derive new meanings from them [6][7] - Deep reading of classic literature enhances cognitive abilities, with studies showing a 31% improvement in logical reasoning and abstract thinking among students who engage in classic reading [9] Group 4 - The ethical implications of reading in the digital age necessitate a reconstruction of reading practices, emphasizing slow reading and the value of re-reading classics [12][13] - Establishing a dialogue ethic encourages critical engagement with texts, fostering a cross-temporal intellectual community [13] - Value ethics highlights the importance of preserving humanistic values against the backdrop of technological rationality, ensuring that classic literature remains a guiding light for moral considerations [14][18] Group 5 - Innovative presentation methods for classic texts in the digital age can enhance engagement without compromising their essence [15][16] - Educational systems should prioritize classic reading to cultivate critical thinking and moral judgment, as evidenced by successful educational reforms in various countries [17] - The preservation of humanistic values through classic reading is essential in the face of advancing technology, ensuring that humanity retains its unique cognitive and ethical dimensions [18][19]
科大讯飞坚持1+N战略 有信心做到底座大模型第一梯队
Sou Hu Wang· 2025-04-23 06:53
Core Viewpoint - The company reported significant growth in both revenue and profit for 2024 and Q1 2025, indicating a successful turnaround and effective operational adjustments made over the past two years [1][2]. Financial Performance - In 2024, the company achieved a revenue of 23.343 billion yuan, a year-on-year increase of 18.79%, marking a return to double-digit growth after two years [1] - The net profit attributable to shareholders for the same period was 560 million yuan [1] - The operating cash flow reached a historical high of 2.495 billion yuan, growing over six times year-on-year [2] - For Q1 2025, revenue was 4.658 billion yuan, up 27.74% year-on-year, with net profit and non-recurring net profit increasing by 35.68% and 48.29% respectively [1] Operational Adjustments - The company has made proactive adjustments in revenue structure, business focus, and collection efforts, leading to significant improvements in cash flow and operational efficiency [2] - A dedicated collection department was established to enhance cash collection processes, contributing to improved cash flow [2] Business Strategy - The company is focusing on optimizing its business structure by enhancing C-end (consumer), strengthening B-end (business), and selectively collaborating with G-end (government) sectors [2] - The company aims to increase the proportion of product-based sales to improve profit margins and reduce customization costs [3] Research and Development - The company plans to maintain a healthy growth rate in R&D investment while ensuring that the growth rate of gross profit outpaces that of R&D spending [3] - The company emphasizes the importance of developing proprietary foundational models to meet market demands and enhance reliability [5] Market Positioning - The company is committed to leveraging its foundational models to capture opportunities in the AGI (Artificial General Intelligence) space, aiming to be a leader in the industry [5] - The company is focusing on developing smaller models that require less computational power while maintaining high performance [5] Product Performance - The education sector, particularly C-end hardware like learning machines, has seen significant growth, with Q1 revenue nearly doubling [6] - The company is expanding its product offerings in the consumer market, including translation devices and SaaS services, which have shown rapid growth [6]
科大讯飞刘庆峰:基于全国产算力,有能力把底座模型做到业界最好
Guan Cha Zhe Wang· 2025-04-23 06:21
Core Insights - The company reported a revenue of 23.343 billion yuan for 2024, marking an 18.79% year-on-year growth, and a net profit of 560 million yuan [1] - In Q1 2025, the company achieved a revenue of 4.658 billion yuan, reflecting a 27.74% year-on-year increase, with net profit and non-recurring net profit growing by 35.68% and 48.29% respectively [1] - The operating cash flow reached a historical high of 2.495 billion yuan in 2024, increasing by over 600% [3] Financial Performance - The company has returned to double-digit growth for the first time in two years, with significant improvements in cash flow and profitability [1][2] - The establishment of a dedicated collection department has contributed to enhanced profitability and cash flow management [2][3] - The company aims to improve its gross margin and profitability through business structure optimization and cost control [3][4] Strategic Focus - The company is focusing on optimizing its business structure by enhancing C-end revenue, strengthening B-end operations, and selectively collaborating with G-end clients [3] - The emphasis on productization is expected to increase gross margins and profitability, reducing reliance on customized projects [4] - The company is committed to maintaining a healthy growth rate in R&D investment while ensuring that the growth rate of gross profit outpaces R&D expenditure [4] Market Positioning - The company is strategically positioned to leverage its proprietary foundational models in the face of competition from emerging startups [5][6] - The company emphasizes the importance of domestic computing power and the reliability of its foundational models, which are tailored to meet specific industry needs [6][7] - The company aims to capture the opportunities presented by general artificial intelligence (AGI) and plans to enhance its foundational model capabilities [7][8] Product Development - The company is experiencing significant growth in its C-end hardware business, particularly in educational devices [8] - Future product development will focus on wearable devices and medical hardware, leveraging the capabilities of its foundational models [8]