以下文章来源于航通社 ，作者航通社 航通社 . 你应该知道的历史、现在和未来 | lishuhang.me | @lishuhang 本文来自微信公众号： 航通社 ，作者：航通社，原文标题：《印度AI峰会：阵仗这么大，但中国去 哪了？》 2月16日-20日，为期五天的"2026印度人工智能影响力峰会"在新德里婆罗多展览中心举行。这是"全 球AI安全峰会"的系列活动之一。自2023年英国首届、韩国第二届、法国第三届以后，该系列峰会首 次在"全球南方"国家举办。 此前西方主导的AI安全峰会，聚焦于"末日生存"与AI安全，印度更改了活动主题，仍然强调AI对后 发国家的发展助力，体现出乐观的情绪。这场打出"人民、地球与进步"口号的盛会，吸引了超过40 位全球科技公司CEO及20国首脑代表，预计带来高达1000亿美元的投资承诺。 全球AI竞争的前两强已经公认为美国和中国。那么谁想当第三呢？莫迪政府对此次峰会寄予厚望， 旨在确立印度在未来十年全球AI领域的主导地位。而这个"潜在老三"在目前两强争霸的格局中，似 乎高调绑定了美方阵营。 尽管中国的AI发展选择了开源、低成本、普惠的更适合发展中国家的道路，但印度同为最大的发展 ...

【导读】 谷歌DeepMind深夜扔出核弹，下一代Gemini 3.1 Pro正式登场。在公认的最难ARC-A GI-2测试中，它拿下最高分直接看呆硅谷，推理狂飙2倍，直接把Claude 4.6拉下王座。 Gemini 3 Pro之后，谷歌DeepMind终于祭出杀招！ 刚刚， 下一代旗舰模型Gemini 3.1 Pro深夜炸场 ，直接刷爆全领域的SOTA，成为AI新王。 转自： 新智元 | Benchmark | | Gemini 3.1 Pro | Gemini 3 Pro | Sonnet 4.6 | Opus 4.6 | GPT-5.2 | GPT-5.3-Codex | | --- | --- | --- | --- | --- | --- | --- | --- | | | | Thinking (High) | Thinking (High) | Thinking (Max) | Thinking (Max) | Thinking (xhigh) | Thinking (xhigh) | | Humanity's Last Exam Academic reasoning | No tools | ...

RT Google (@Google)Gemini 3.1 Pro be like ...

Core Viewpoint - Companies like Google, Apple, and xAI are actively working to protect their sensitive information from employees who are suspected of stealing it [1] Group 1 - Google is among the companies taking measures to defend against information theft by employees [1] - Apple has also implemented strategies to safeguard its sensitive data from potential internal threats [1] - xAI is included in the list of companies that are focusing on protecting their proprietary information from employees accused of misconduct [1]

Core Insights - Google has launched Gemini 3.1 Pro, a significant upgrade that enhances reasoning capabilities and is designed for practical applications in various fields, including development tools and enterprise services [2][4][20]. Technical Overview - Gemini 3.1 Pro utilizes a mixed expert architecture, activating only a portion of its parameters during prompt responses, allowing for input of up to 1 million tokens and output of up to 64,000 tokens [2]. - The model has achieved a verified score of 77.1% in the ARC-AGI-2 abstract reasoning puzzles, indicating a substantial improvement in abstract reasoning and adaptability to new problems [9][12]. - Compared to its predecessor, Gemini 3 Pro, which scored 31.1% in the same test, Gemini 3.1 Pro has more than doubled its reasoning performance in just three months [16][12]. Benchmark Performance - Gemini 3.1 Pro ranks first in 12 out of 16 benchmark tests, outperforming competitors like Claude Opus 4.6 and GPT-5.2 in various categories, including academic reasoning and coding tasks [17][18]. - In the MCP Atlas test, which evaluates AI models' ability to execute tasks using third-party services, Gemini 3.1 Pro scored 69.2%, leading over Claude Sonnet 4.6 [17]. User Accessibility - The model is being rolled out to developers, enterprise users, and consumers through various platforms, including Google AI Studio, Vertex AI, and the Gemini App [7][24]. - Gemini 3.1 Pro is available for free to developers, marking a strategic move by Google to democratize access to advanced AI capabilities [15][24]. Practical Applications - The model is designed for complex tasks that require advanced reasoning, such as generating dynamic SVG animations for websites and creating modern personal portfolio sites based on literary themes [20][21][22]. - It bridges the gap between complex APIs and user-friendly design, exemplified by its ability to create real-time dashboards and immersive experiences [23]. Industry Implications - The release of Gemini 3.1 Pro signals a shift in the AI landscape, focusing on practical task completion and stability rather than merely increasing model size [27][30]. - The rapid iteration and deployment of Gemini 3.1 Pro reflect Google's response to the competitive pressures in the AI market, emphasizing the importance of reasoning capabilities and operational efficiency [28][30].

Two former Google engineers and one of their husbands were indicted for allegedly stealing trade secrets relating to the company’s Tensor processor for Pixel phones https://t.co/1SKbVsx0mj ...

Core Viewpoint - The article discusses the significant upgrades of Google's Gemini 3.1 Pro model compared to its predecessor, Gemini 3 Pro, highlighting improvements in multimodal generation, semantic understanding, and reasoning capabilities [1][9][10]. Group 1: Model Upgrades - Gemini 3.1 Pro shows a noticeable enhancement in multimodal generation and semantic understanding, achieving a higher level of performance [1]. - The model can convert everyday data into interactive visual content, such as aerospace dashboards and city simulations [3][5]. - In the ARC-AGI-2 benchmark test, Gemini 3.1 Pro achieved a verification score of 77.1%, which is double that of Gemini 3 Pro [10]. Group 2: Performance Metrics - The performance comparison table indicates that Gemini 3.1 Pro outperforms other models in various benchmarks, including academic reasoning and abstract reasoning puzzles [11]. - The overall ranking score of Gemini 3.1 Pro in Arena's evaluation is 13 points higher than that of Gemini 3 Pro, with significant improvements in text and code dimensions [12]. - The model supports a context length of 1 million tokens and has a knowledge cutoff date of January 2025, enhancing its multimodal understanding and long-context performance [11]. Group 3: User Experience and Applications - Users have reported positive experiences with Gemini 3.1 Pro, generating complex visualizations and interactive applications, such as a 3D simulation of a flock of birds [17][20]. - The model has been utilized to create personal websites and educational applications, showcasing its versatility and advanced capabilities [24][25]. - The model is now available in Gemini applications and APIs, with specific access for Google AI Pro and Ultra users [29]. Group 4: Cost and Market Implications - The release of Gemini 3.1 Pro marks Google's first use of a ".1" version number, indicating a rapid pace of development in large models [30]. - The pricing for Gemini 3.1 Pro remains competitive, with input costs at $2 for less than 200k tokens and $4 for more, while output costs are $4 for less than 200k tokens and $18 for more [36]. - The cost per ARC-AGI-2 task is approximately $0.96, significantly lower than the previous model, suggesting a shift in the cost-performance curve in AI development [37][41].

相比去年十一月发布的 Gemini 3 Pro，新模型推理性能直接翻倍。 在评估模型破解全新逻辑范式能力的 ARC-AGI-2 评测中，Gemini 3.1 Pro拿下 77.1%的得分(而 3 Pro 测试成绩为 31.1%)，大多数推理任务重都是SOTA,代码 能力无限接近opus 4.6，SWE-Bench验证80.6%，非常接近Opus 4.6的80.8%，看起来很强，但这些数据看看就好了，实际使用才能真正检验，相信大家很快 就会得出结论。 | Benchmark | | Gemini 3.1 Pro | Gemini 3 Pro | Sonnet 4.6 | Opus 4.6 | GPT-5.2 | | --- | --- | --- | --- | --- | --- | --- | | | | Thinking (High) | Thinking (High) | Thinking (Max) | Thinking (Max) | Thinking (x) | | Humanity's Last Exam | No tools | 44.4% | 37.5% | 33.2% | 40.0% | ...

Trade Relations - The U.S. and Indonesia have signed a historic Agreement on Reciprocal Tariffs (ART), marking the beginning of a "golden age" for their alliance [2][3] - Indonesia will eliminate tariffs on American goods and grant the U.S. strategic access to its critical mineral reserves [2] - The Trump administration has reduced the reciprocal tariff on Indonesian goods from 32% to 19%, with specific tariff-free entry for Indonesian palm oil, coffee, and cocoa [3][8] Economic Indicators - Japan's Manufacturing PMI rose to 52.8 in February from 51.5 in January, indicating the strongest growth since May 2022, driven by a surge in new export orders [4] - The Services PMI also increased to 53.8, with the Composite PMI reaching 53.8, marking the fastest expansion since May 2023 [5] Monetary Policy - The Philippine central bank (BSP) aims to maintain a 3% inflation target despite global economic uncertainty, with expectations for inflation to hover around this midpoint over the next two years [6][7] - The BSP may have limited room for further interest rate cuts if food prices and currency weakness persist, with a potential final cut of 25 basis points projected for Q1 2026 [7] Technological Initiatives - The Trump administration is revamping the Peace Corps to focus on recruiting U.S. science and math graduates to support infrastructure in developing countries, aiming to counter Chinese technological influence [9][10] - The initiative may involve collaboration with major U.S. tech companies, referred to as the "Magnificent Seven," to enhance American public diplomacy and align with U.S. economic security [10]

Google’s new Gemini Pro model has record benchmark scores—again https://t.co/Y0UQ50yG09 ...