而在待遇方面，华为招聘表示，将提供行业内具有竞争力的薪酬。此外，华为还将为入职者提供攻克全球前沿AI技术难 题、参与打造世界领先大模型项目的机会，并有机会与图灵奖、菲尔兹奖获得者共事。华为还将提供充足的算力，供入 职者自由调度。 日前，华为招聘官方微博发布"全球顶尖AI人才招募令"，表示"AGI将是超越想象的革命，划为正在打造世界一流的AI 战队，构建领先世界的大模型，攀登AGI的巅峰"。 稍晚时候，华为常务董事、终端BG董事长余承东也转发了该条微博："胸怀王者气，共攀最高峰！欢迎年轻、优秀、热 爱AI的你加入我们，一起打造世界最强的AI！" 在华为招聘发布的信息中，其对求职者有三点要求：学术先锋、技术热情、创新思维。即需要求职者成绩优异，具备扎 实的数理功底与持续的学习能力，或拥有重量级科研成果/论文/专利，或曾在国际顶级竞赛获奖等，还需要对人工智能 领域怀揣坚定的技术信仰与热忱，有志于成为技术领军人物。且勇于创新突破，精于洞察，穿透技术本质并愿意付诸实 践。 其中，本硕岗位招聘AI软件工程师、AI算法工程师、AI数据工程师等，博士岗位招聘AI算法、大模型算法、多模态算 法、大模型应用、机器学习等。 工作地 ...

要闻提示 NEWS REMIND 1.格力朱磊曝光友商买水军，网友：水军实为「捧格力踩小米」 2.曝阿里夸克秘密开展C计划AI业务：涉对话式AI应用，或对标字节豆包 3.美光退出中国数据中心市场！一纸禁令，收入归零 4.传红果内测短剧带货，2亿月活用户打通抖音电商！官方暂无回应 5.美团S-team新添两位成员，过去五年晋升多位"80后" 6 . 海外门店负责人离职，大疆正紧急招聘新一任负责人 7.奔驰约4000名员工抢着离职：资深职员可获近400万元遣散费！ 8.新Siri又传利空！知名科技爆料人 古尔曼： 苹果AI部门正分崩离析 今日头条 HEADLINE NEWS 格力朱磊曝光友商买水军，网友：水军实为「捧格力踩小米」 10月19日晚间，格力电器市场总监朱磊发博曝光多条博主对比小米及格力1.5匹空调价格的视频，并质 疑"一模一样台词、剧本、几乎同时海量覆盖"。 视频中，多位博主发布内容均以"同样是1.5匹的空调，小米1700元、格力3000多元"开场，朱磊对此质 疑道，"一模一样的台词，一模一样的剧本，一群看起来并非有什么观点非表达不可的人。几乎同时间海 量覆盖。这是为什么？群，你知道答案吗？"朱磊还带 ...

Andre Karpathy, one of the most important figures in artificial intelligence, says we're 10 years away from AGI. He was just on Dwaresh's podcast, and it was really an incredible discussion between the two. But I actually found his follow-up post on X to be just as interesting. And that's what we're going to go over today. He clarifies many of the points he made on the Darkh podcast and even goes a little bit further. Let's get into it. And quickly, let me just tell you about our new 100 ways to use AI guid ...

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Sam Altman says ChatGPT will start to have erotic chats with interested adults 2) Also, more sycophancy? 3) Is sycophancy the lost love language 4) Is erotic ChatGPT good for OpenAI’s business? 5) Is erotic ChatGPT a sign that AGI is actually far away? 6) OpenAI’s latest business metrics revealed 7) Google’s AI contributes to cancer discovery 8) Anthropic’s Jack Clark on AI becoming self aware 9) Is Zuck poaching ...

Group 1: Oracle's AI Supercomputer - Oracle launched the world's largest cloud AI supercomputer, OCI Zettascale10, consisting of 800,000 NVIDIA GPUs, achieving a peak performance of 16 ZettaFLOPS, serving as the core computing power for OpenAI's "Stargate" cluster [1] - The supercomputer utilizes a unique Acceleron RoCE network architecture, significantly reducing communication latency between GPUs and ensuring automatic path switching during failures [1] - Services are expected to be available to customers in the second half of 2026, with the peak performance potentially based on low-precision computing metrics, requiring further validation in practical applications [1] Group 2: Google's Gemini 3.0 - Google's Gemini 3.0 appears to have launched under the aliases lithiumflow (Pro version) and orionmist (Flash version) in the LMArena, with Gemini 3 Pro being the first AI model capable of accurately recognizing clock times [2] - Testing shows that Gemini 3 Pro excels in SVG drawing and music composition, effectively mimicking musical styles while maintaining rhythm, with significantly improved visual performance compared to previous versions [2] - Despite the notable enhancements in model capabilities, the evaluation methods in the AI community remain traditional, lacking innovative assessment techniques [2] Group 3: DeepSeek's OCR Model - DeepSeek has open-sourced a 3 billion parameter OCR model, DeepSeek-OCR, which achieves a compression rate of less than 10 times while maintaining 97% accuracy, and around 60% accuracy at a 20 times compression rate [3] - The model consists of DeepEncoder (380M parameters) and DeepSeek 3B-MoE decoder (activated parameters 570M), outperforming GOT-OCR2.0 in OmniDocBench tests using only 100 visual tokens [3] - A single A100-40G GPU can generate over 200,000 pages of LLM/VLM training data daily, supporting recognition in nearly 100 languages, showcasing its efficient visual-text compression potential [3] Group 4: Yuanbao AI Recording Pen - Yuanbao has introduced a new feature for its AI recording pen, utilizing Tencent's Tianlai noise reduction technology to enable clear and accurate recording and transcription without additional hardware [4] - The "Inner OS" feature interprets the speaker's underlying thoughts and nuances, helping users stay focused on the core content of meetings or conversations [4] - The recording can intelligently separate multiple speakers in a single audio segment, enhancing clarity in meeting notes without the need for repeated listening [4] Group 5: Vidu's Q2 Features - Vidu's Q2 reference generation feature officially launched globally on October 21, with a reasoning speed three times faster than the Q1 version, supporting multi-subject consistency generation and precise semantic understanding while maintaining 1080p HD video quality [5][6] - The video extension feature allows free users to generate videos up to 30 seconds long, while paid users can extend videos up to 5 minutes, supporting text-to-video, image-to-video, and reference video generation [6] - The Vidu app has undergone a comprehensive redesign, transitioning from an AI creation platform to a one-stop AI content social platform, featuring a vast subject library for easy collaborative video generation [6] Group 6: Gemini's Geolocation Intelligence - Google has opened the Gemini API to all developers, integrating Google Maps functionality to provide location awareness for 250 million places, charging $25 for every 1,000 fact-based prompts [7] - The feature supports Gemini 2.5 Flash-Lite, 2.5 Pro, 2.5 Flash, and 2.0 Flash models, applicable in scenarios such as restaurant recommendations, route planning, and travel itinerary planning, offering real-time traffic and business hours queries [7] - This development signifies a shift in AI from static tools to dynamic "intelligent spaces," with domestic competitor Amap having previously launched smart applications [7] Group 7: AI Trading Experiment - The Alpha Arena experiment initiated by nof1.ai allocated $10,000 each to GPT-5, Gemini 2.5 Pro, Claude 4.5 Sonnet, Grok 4, Qwen3 Max, and DeepSeek V3.1 for real market trading, with DeepSeek V3.1 achieving over $3,500 in profits, ranking first [8] - DeepSeek secured the highest returns with only five trades, while Grok-4 followed closely with one trade, and Gemini 2.5 Pro incurred the most losses with 45 trades [8] - This experiment views the financial market as the ultimate test for intelligence, focusing on survival in uncertainty rather than mere cognitive capabilities [8] Group 8: Robotics Development - Yushu has released its fourth humanoid robot, H2, standing 180 cm tall and weighing 70 kg, with a BMI of 21.6, featuring 31 joints, an increase of about 19% compared to the R1 model [9] - H2 has significantly upgraded its movement fluidity and bionic features, capable of ballet dancing and martial arts, with a "face" appearance, earning the title of "the most human-like bionic robot" [9] - Compared to its predecessor H1, H2's joint control and balance algorithms have been greatly optimized, expanding its application prospects from industrial automation to entertainment and companionship services [9] Group 9: Karpathy's Insights on AGI - Karpathy expressed in a podcast that achieving AGI may still take a decade, presenting a more pessimistic view compared to the general optimism in Silicon Valley, being 5-10 times more cautious [10] - He criticized the inefficiency of reinforcement learning, likening it to "sucking supervision signals through a straw," highlighting its susceptibility to noise and interference [10] - He introduced the concept of a "cognitive core," suggesting that future models will initially grow larger before becoming smaller and more focused on a specialized cognitive nucleus [11]

We recently published 10 Trending Stocks to Watch as Brad Gerstner Explains Tailwinds for AI Trade – ’10x Manhattan Project’. NVIDIA Corp (NASDAQ:NVDA) is one of the trending stocks to watch. James Van Geelen, the founder and portfolio manager at Citrini Research, was recently asked during a Bloomberg podcast why NVIDIA Corp (NASDAQ:NVDA) is investing in its own customers if the demand for its AI chips is real. Here is what Geelen said, focusing on the “not skeptical” view of the matter: “I could take th ...

Core Insights - The AGIX index aims to capture the beta and alphas of the AGI era, which is expected to be a significant technological paradigm shift over the next 20 years, similar to the impact of the internet on society [2] - The article discusses the importance of learning from legendary investors like Warren Buffett and Ray Dalio to navigate the AGI revolution [2] Market Performance Summary - AGIX has shown a weekly performance of 0.92%, a year-to-date return of 31.87%, and an impressive return of 81.64% since 2024 [5] - In comparison, the S&P 500 has a weekly performance of 2.45%, a year-to-date return of 18.13%, and a return of 47.47% since 2024 [5] Sector Performance Overview - The semi & hardware sector had a weekly performance of 0.16% with an index weight of 30.11% - The infrastructure sector performed at 0.97% with a weight of 24.74% - The application sector saw a decline of 0.21% with a weight of 39.73% [6] Innovation-Driven Growth Paradigm - The 2025 Nobel Prize in Economic Sciences was awarded to economists who elaborated on the theory of "innovation-driven economic growth," contrasting traditional growth theories that focus on diminishing returns from capital and labor [9] - The article emphasizes that AI, as a collection of technology and knowledge, can be replicated and innovated upon without the diminishing returns seen in traditional capital [10] AI Productivity and Business Models - AI tools are currently in the "AI for productivity" phase, with a potential market space of approximately $6.2 trillion in sales and administrative expenses for S&P 500 companies in 2024 [10] - The article highlights the shift from traditional licensing models to microtransaction models in copyright, exemplified by OpenAI's Sora, which allows for dynamic resource utilization [11][12] AI Implementation and Metrics - Companies should express their AI productivity capabilities through specific KPIs, with a focus on "Dogfooding" as a measure of AI productivity [13] - The potential of a company’s AI can be summarized as Agent Density, Context Tokenization, and Agent Capability, which together accelerate the capitalization of knowledge [14][15] Global Market Trends - The article notes a significant de-leveraging in global stock markets, particularly in North America, with a focus on reducing directional risk [16] - The TMT sector faced selling pressure, while semiconductor stocks received some buying interest, indicating ongoing confidence in the AI industry [16] AI Infrastructure Developments - Meta and Oracle are deploying NVIDIA Spectrum-X Ethernet solutions in AI data centers, indicating a shift towards Ethernet for large-scale AI training and inference [17] - Anthropic introduced Skills functionality for Claude, enhancing its modular task capabilities for enterprise workflows [18] Strategic Partnerships and Acquisitions - Microsoft and NVIDIA, along with BlackRock, are leading an AI infrastructure consortium aiming to acquire Aligned Data Centers for approximately $40 billion [19] - Snowflake and Palantir announced a bidirectional integration to enhance enterprise-level AI applications [20] Future AI Cloud Developments - Microsoft signed a $17.4 billion long-term GPU infrastructure contract with Nebius, indicating a strategic move towards a new AI cloud ecosystem [23]

AGI = Artificial Grok Intelligencehttps://t.co/G4dB5rrPPr ...

责任编辑：何俊熹 他还提到，读书时的很多想法，我觉得现在基本上都已经实现了，如果大家有很多想法，就抓紧去实 现。（罗宁） 新浪科技讯 10月20日下午消息，今日，在IROS 2025美团机器人研究院学术年会上，王兴兴谈及自己心 目中具身智能的理想形态时表示，具身智能如果真的实现了，可能距离AGI也不远了。 他表示，AGI会成为人类终极的发明，包括消费、娱乐、工作等都可以实现，我们这一代人非常非常有 机会，因为往后50年具身智能可能已经实现，往前几十年还没有这么强的算力芯片。 ...

Core Insights - The current AI development may lead to either AGI or a more sophisticated word predictor, which significantly impacts market psychology [2] - A report from MIT indicated that 95% of corporate AI investments yielded zero returns, suggesting a fragile market sentiment [2] - The potential for AI to replace low-level white-collar jobs could liberate humans for more meaningful work, but many individuals may struggle to adapt [3] Group 1 - The discussion on AI's trajectory is crucial as it addresses whether the current advancements will lead to AGI or merely enhance predictive capabilities [2] - Experts' opinions on AI's future have a substantial influence on market sentiment, with pessimistic views highlighting the risks of overvaluation [2] - The notion that AI can handle trivial tasks suggests it may replace jobs that do not utilize higher-level human intelligence [2][3] Group 2 - The short-term effect of AI adoption may boost capital profits, but long-term implications could lead to a decline in overall demand as wealth distribution favors capital [4] - Historical context indicates that significant advancements from the first internet boom took about a decade to materialize, raising concerns about potential downturns in the current AI cycle [4] - The resilience of the market may prove more critical than the initial explosive growth of AI technologies [4]