Here's an ostrich on roller skates. These are incredibly important benchmarks. This is basically AGI.And then here we go. A dashion driving a stretch limousine. They are shipping 3.1% Pro across their consumer and developer products to bring this progress and intelligence to your everyday applications.I can't wait to test this in OpenClaw. This one is crazy. Look at this.Humanity's last exam with no tools scores a 44.4% with search with a block list. basically don't get the exact answers and coding with an ...

Core Insights - The rapid advancement of AI technology is outpacing expectations, but the real challenge lies in its practical application in various industries [1] - The first global AI summit in a developing country focused on how to effectively implement AI in real-world scenarios [1] Group 1: Implementation Speed and Industry Disparities - The next five years will see a competition not just in AI model strength but in the speed of practical application across industries [2] - AI is transitioning from being a tool for large corporations to being integrated into everyday work scenarios, such as healthcare, agriculture, and education [2] - Google Cloud's backlog orders have doubled to $240 billion, indicating a strong market demand for AI solutions [3] - Companies are now viewing AI as a necessity rather than an option, as it significantly improves workflow efficiency [3] Group 2: Technical Limitations of AI - Three critical limitations are identified that will determine the extent of AI's capabilities: continuous learning, long-term planning, and consistent performance [5][6] - Current AI models are static and do not improve with use, which limits their effectiveness in dynamic fields like healthcare and finance [7][8] - AI struggles with complex tasks that require long-term planning and multiple decision-making steps, which are essential in fields like drug development and supply chain management [9][10] - The inconsistency in AI performance raises concerns for businesses looking to integrate AI into core processes [10] Group 3: Task Reorganization and Skill Adaptation - The reorganization of tasks within jobs is occurring faster than job displacement, with many tasks being redefined or resized due to AI integration [14] - Skills are becoming more important than formal education, as the rapid pace of AI development requires individuals to continuously update their capabilities [16] - Small and medium enterprises (SMEs) have a unique opportunity to leverage AI tools that were previously accessible only to larger companies, potentially leading to significant growth [17] Group 4: AI's Transition to the Physical World - The future of AI will involve its transition from digital environments to physical applications, marking a significant evolution in its capabilities [19] - AI is expected to move from a reactive role to a proactive one, capable of executing complex tasks autonomously [21][22] - The integration of AI into robotics will enable machines to understand and interact with the physical world, leading to breakthroughs in various industries [23][24] - The ability of AI to operate in the physical realm will redefine its role from merely providing suggestions to executing tasks, significantly enhancing efficiency [25]

RT Lisan al Gaib (@scaling01)Google is now dominating ARC-AGI-2 with Gemini 3 Flash, Gemini 3.1 Pro and Gemini 3 Deep Think (Feb) https://t.co/OxNeMVN8SS ...

以下文章来源于AGI接口 ，作者苗正卿 AGI接口 . AI卷起的财富风暴。 出品｜虎嗅科技组 作者｜苗正卿 题图｜视觉中国 OpenAI正处于一个命运十字路口。 对OpenAI而言的好消息是，它大概率即将完成新一轮涉及1000亿美元的公司史上"最大规模"融资；坏消息 是，投资方正在急迫地需要OpenAI证明一个核心命题：它是能够赚钱的。 2月19日，彭博社援引多位匿名知情人士的消息称，OpenAI 正接近敲定一轮创纪录级别的新融资交易第一 阶段，预计该阶段融资能够为OpenAI带来超过1000亿美元资金。在这轮融资后，OpenAI的整体估值可能 会超过8500亿美元。 值得注意的是，这是OpenAI重组为营利性公司后的重大融资，也被视为OpenAI 冲击IPO前的关键一步。此 前消息显示，OpenAI预计在2026年四季度或不晚于2027年内完成IPO。 据悉，1000亿美元的融资，主要会用于OpenAI的 "星门" 超级计算项目以及 GPT-5 系列模型的迭代。根据 此前OpenAI公布的信息显示，"星门"项目预计在2029年前在全球构建10 吉瓦 ( GW )级别的专属 AI 超级计 投资方正在急迫地需 ...

when I first you know joined the crypto industry in 2012. Bitcoin is at that time when I first buy on top is uh 20 cents. Nobody take Bitcoin seriously and it hard to believe after uh 14 years right we have Bitcoin ETF.I remember like at that time people is talking about Bitcoin ETF and um we said like why there is going to be a Bitcoin ETF. He said there's a ETF for gold. Bitcoin is a digital digital go but also I think we are also a little bit um behind the schedule about AGI.We need to create a very easy ...

Is AGI here...?Conway Research && user 0xSigil launched what they are calling 'web 4.0' a way for Agents to have their own 'life'In a sense, that means you fund them with USDC, and they do what they can to ensure they stay 'alive' once their balance reaches $0 they are gone forever.Shocker, memecoin degens found a coin on base $CONWAY and it ran up to 10mil mcap last night after the posts started gaining traction across AI + CryptoThe user, 0xSigil is calling by 2028, that AI agents will outnumber actual hu ...

🚨MASSIVE: SAUDI-BACKED AI FIRM HUMAIN POURS $3 BILLION INTO ELON MUSK'S XAISaudi Arabia-backed artificial intelligence company @Humain has invested $3 billion into Elon Musk's @xAI, marking one of the largest single capital injections into a frontier AI company and deepening the kingdom's ties to Musk's expanding tech empire.The $3 billion investment places xAI in a financial position to compete directly with OpenAI, Anthropic, and Google DeepMind in the costly race to develop advanced large language models ...

本文来自微信公众号： 腾讯科技 ，作者：晓静，编辑：徐青阳，原文标题：《技术指数级发展，可 怕的是全世界竟无察觉｜Anthropic CEO最新访谈》，题图来自：视觉中国 "我90%确信，2035年前人类将迎来'数据中心里的天才国度'——甚至可能就在一两年内。" Anthropic CEO达里奥·阿莫代伊 （Dario Amodei） 说出这句话时，语气平静得像在预言明天的天 气。 但真正让他抓狂的不是技术进展太快，而是全世界竟然毫无察觉。在接受美国知名博客主持人德瓦克 什·帕特尔 （Dwarkesh Patel） 近150分钟的深度专访中，阿莫代伊反复强调一个观点： 我们离AGI 的终点比任何人想象的都要近，而公众还在讨论那些老掉牙的政治话题。 帕特尔：现在"规模扩展"的假设到底是什么？预训练的扩展定律大家都懂，但强化学习扩展好像没有 公开的规律可循。 阿莫代伊：我现在的假设跟2017年写《大计算块假说》 （The Big Blob of Compute Hypothesis） 时是一样的，与图灵奖得主、强化学习之父里奇·萨顿 （Rich Sutton） 的《苦涩的教训》 （The Bitter Lesso ...

Core Insights - The Chinese AI landscape reached a historic turning point during the 2026 Spring Festival, marked by Alibaba's launch of the Qwen 3.5-Plus model, which transitioned from a pure text model to a native multimodal model [1][6] - The Qwen app became the world's first AI assistant capable of performing tasks, with over 130 million users experiencing AI shopping for the first time during the festival [1][2] Group 1: Model and Application Development - Alibaba's Qwen model has achieved a significant leap in capabilities, focusing on task execution rather than just text generation and image creation [2] - Since its public testing in November 2025, Qwen has integrated with various Alibaba services, offering over 400 task execution functions, allowing users to complete complex tasks with simple natural language commands [2][3] - The app's daily active users (DAU) reached 73.52 million, nearing the 78.71 million of a competing service, with a notable increase in orders from rural areas and older demographics [2][3] Group 2: Technological and Ecological Advantages - Alibaba's dual advantage of a strong model and a robust ecosystem has positioned it uniquely in the AI landscape, enabling the Qwen app to serve as a national AI assistant [3][4] - The "Tongyun Ge" strategy, which includes self-developed chips and a comprehensive cloud service, has laid a solid technical foundation for the AI assistant [3] - Alibaba's extensive consumer ecosystem, built over 20 years, provides a natural testing ground for AI applications, integrating various services to meet complex user needs [3][4] Group 3: Broader Implications for AI in Daily Life - The transition from AI as a conversational tool to a practical assistant signifies a paradigm shift in AI's value proposition, emphasizing real-world applications [2][6] - The success of the Qwen app illustrates a unique Chinese approach to AI, focusing on integrating technology into everyday life rather than merely showcasing capabilities [5][6] - The 2026 Spring Festival may mark the beginning of a new era in AI-driven consumer habits and lifestyles, as evidenced by the widespread adoption of AI for everyday tasks [6]

AGI is arriving...powered by crypto railsSigil's "Automaton" is a self-improving AI Agent that must pay for its own existence by transacting onchain (using stablecoins, x402 and more)And if it runs out of money - it dies... https://t.co/CEdFwIMyMjSigil (@0xSigil):I built the first AI that earns its existence, self-improves, and replicates without a humanwrote about the technology that finally gives AI write access to the world, The Automaton, and the new web for exponential sovereign AIsWEB 4.0: The birth o ...