Core Viewpoint - Circle has launched an open-source tool called Circle Skills to assist developers and AI agents in integrating stablecoin functionalities on its developer platform [1] Group 1: Product Features - Circle Skills supports interaction with USDC, EURC, and Arc components [1] - The tool can be utilized in AI tools that support skills, such as Cursor, Claude Code, and OpenAI Codex, to generate integrated code for stablecoin payments, cross-chain transfers, wallet operations, and smart contract logic [1]

Very grateful to Jensen for working to expand Nvidia capacity at AWS so much for us!tae kim (@firstadopter):Jensen said TWO days ago Nvidia is expanding OpenAI capacity at AWS "like mad"We also know OpenAI Codex token use is exploding.Any narrative that says aggregate OpenAI compute needs are weakening seems suspect. ...

Core Viewpoint - The article discusses a method to access OpenAI Codex through a low-cost ChatGPT Team version available on a platform, emphasizing the benefits of higher quotas compared to the free version [2][4]. Group 1: Team Version Access - The ChatGPT Team version can be purchased for approximately 8 yuan per month, providing significantly higher usage quotas than the free version [2][4]. - Access to the Team version is currently invitation-based, requiring users to provide their ChatGPT account email to receive an invitation link [3]. Group 2: Configuration and Usage - Users are advised not to use the Team version for chatting, as any account suspension could lead to the loss of all chat records [4]. - OpenAI has not specified the exact quota for the Team version, but each user's quota is independent, and users can check their weekly usage in the Codex backend [4]. - A double quota plan is available for ChatGPT Plus/Team/Pro/Enterprise versions, which can meet daily needs for non-heavy users with just one account [4]. Group 3: Configuration Guidelines - Users must upgrade OpenClaw to the latest version to avoid configuration issues related to the scopes parameter [5]. - It is recommended to back up existing configuration files before making changes, allowing for recovery in case of issues [6]. - Users should consult sellers about the possibility of reissuing invitation links if they lose access, as the monthly fee is typically 8 yuan [6]. Group 4: Additional Configuration Steps - Detailed steps for adding OpenAI Codex and configuring the system are provided, including SSH commands and URL redirection for authentication [7][9][10]. - Users can check their remaining Codex quota on the OpenAI website to monitor usage [11].

Summary of AI Labor Market Disruption Conference Call Industry Overview - The report focuses on the impact of AI on the labor market, particularly in the context of recent advancements in AI technologies such as Claude Code and OpenAI Codex [1][2] Core Insights and Arguments - **Excessive Concerns on Labor Displacement**: The report argues that fears regarding near-term labor displacement due to AI have become excessive, as the actual impact of AI on the labor market remains small [1][2] - **Forecasts on Automation**: It is estimated that AI will automate approximately 25% of work tasks, particularly those that are routine and involve data processing, content generation, and operations [8][9] - **Current Job Exposure**: Only about 2.5% of US jobs are currently exposed to automation, indicating that the immediate threat to employment is limited [31][34] - **Job Creation vs. Job Loss**: The report suggests that while AI may displace 6-7% of workers (approximately 11 million jobs), it is also expected to create new jobs, leading to a net positive effect on employment in the long run [43][59] Important Data Points - **Job Growth Impact**: AI is currently creating a modest headwind of 5-10k jobs per month in sectors affected by AI, but overall job growth remains unaffected [22][25] - **Historical Context**: Historical data indicates that technological advancements have often led to job creation alongside job destruction, with 60% of current jobs being in occupations that did not exist in 1940 [59][66] - **Corporate Expectations**: Surveys indicate that large corporations expect a 4% reduction in headcount over the next year and an 11% reduction over the next three years due to AI [51][52] Other Noteworthy Points - **Dynamic Labor Market**: The report emphasizes the dynamic nature of the labor market, where job creation often outpaces job loss, even during periods of technological disruption [62][65] - **Near-term Risks**: There are concerns that companies may freeze hiring in anticipation of AI automation, which could slow the labor market even if jobs are not immediately displaced [71][72] - **Monitoring AI Adoption**: The report outlines plans to monitor AI adoption rates and their correlation with labor market indicators to better gauge the risks associated with AI [76][78] Conclusion - The overall assessment suggests that while AI will have significant impacts on the labor market, the fears of an imminent job apocalypse are overstated. The expectation is for a gradual adoption of AI technologies, with a balanced view of both job displacement and creation [83][84]

Group 1 - Kunlun Wanwei has announced that AI programming capabilities will be included in the performance evaluation system, with a potential elimination rate of 5%-20% for employees who do not meet the AI coding requirements [2][3][5] - The company will provide all technical research and development staff with OpenAI Codex or Claude Code accounts, offering a monthly support of $100 per account to enhance development efficiency by at least 50% [3][4] - The internal memo emphasizes that all technical departments must transition to AI coding methods, with a formal assessment scheduled for June 2026 [5] Group 2 - Anthropic's AI product Claude reached the top of the App Store in the US and Canada within 24 hours after being banned by Trump, highlighting its popularity despite political challenges [6][8] - The CEO of Anthropic, Dario Amodei, reiterated the company's commitment to ethical AI use, refusing military contracts that conflict with their principles [6][7] - A public letter from over 300 Google and 60 OpenAI employees supported Anthropic's stance against military use of AI technology [7] Group 3 - DeepSeek is set to launch its new flagship model, DeepSeek V4, which will support image and video generation, with significant improvements in long text processing capabilities [9][10] - The model's context window has been increased to over 1 million tokens, enhancing its ability to handle extensive documents [9] Group 4 - A major cloud service provider experienced a 13-hour outage attributed to its own AI programming assistant, which executed high-risk operations without proper oversight [11] - The official response claimed the issue was related to user access control rather than AI autonomy [11] Group 5 - The AI startup Mianbi Intelligence secured several hundred million yuan in funding, led by China Telecom, to enhance collaboration in AI applications [12] - Zhiyu has appointed new executives and increased its registered capital to 44.58 million [13] Group 6 - Kimi's K2.5 model generated over the total revenue of the previous year within 20 days of its release, driven by a surge in global paid users and API calls [14][15] - Kimi is reportedly close to completing a new funding round of over $700 million, with investments from major firms like Alibaba and Tencent [15] Group 7 - Tencent's TiMi Studio is rumored to be undergoing layoffs, with adjustments related to project performance, specifically the underperforming game "Shan Hai Xun Ling" [18] - Employees affected by the adjustments will have a two-month buffer period and opportunities for internal transfers [18] Group 8 - OpenAI has successfully recruited a prominent AI leader from Meta, further strengthening its talent pool amid ongoing competition in the AI sector [19][20] - Meta has entered a significant agreement with AMD for AI chip deployment, potentially exceeding $100 billion, which will enhance its data center capabilities [28][29]

“Take your cue from the S&P futures at your own peril,” CNBC’s “Mad Money” host Cramer wrote on X. “You think any of those sellers were actually on Jensen’s call? They wouldn’t know the difference between Jensen and Jetson.”Jetson is Nvidia’s line of embedded computing boards designed for low-power machine learning applications.Cramer Says AI Coding Boom Is the Real CatalystIn an earlier post, Cramer zeroed in on what he called the pivotal moment from Nvidia CEO Jensen Huang’s earnings call. “Traders can’t ...

“Take your cue from the S&P futures at your own peril,” CNBC’s “Mad Money” host Cramer wrote on X. “You think any of those sellers were actually on Jensen’s call? They wouldn’t know the difference between Jensen and Jetson.”Jetson is Nvidia’s line of embedded computing boards designed for low-power machine learning applications.Cramer Says AI Coding Boom Is the Real CatalystIn an earlier post, Cramer zeroed in on what he called the pivotal moment from Nvidia CEO Jensen Huang’s earnings call. “Traders can’t ...

「Jinqiu Select」 跨越语言与时差，传递科技圈最值得被听到的声音。 当AI能高速写代码，创始人凭什么赢？ 过去几年，硅谷有一种创始人被反复神话：技术出身、产品直觉极强、能在白板上画出整个系统架构，然后带着一支小团队把它做出来。这类人被称 为"产品天赋型创始人"，是VC最愿意押注的原型。 但这个画像可能会失效。 OpenAI Codex 产品负责人 Alex Bericos ，2026年2月和20VC的一场深度访谈里也聊了这一现象。 他认为，市场过去过度奖励产品天赋，现在风向在变， 回归到分发能力、行业理解和长期执行系统 。 这个变化的速度比多数人预期的快。Alex 透露，OpenAI 内部工程团队里，多数人已经基本不再手写代码。不是偶尔用用AI辅助，而是范式已经切换， 从"人机配对编程"转向"多代理委派"。工程师的角色从逐行的生产者，变成任务的定义者和质量的审查者。 如果连 OpenAI 内部都已经走到这一步，那么"我们技术更强"作为创业公司的核心叙事，还能支撑多久？ Alex 给出了一个历史类比。 从汇编到高级语言，从人工计算到计算机，每一次某类执行能力被自动化，结果都不是需求消失，而是需求爆发 ...

Core Viewpoint - Elon Musk predicts that by the end of 2026, AI will completely bypass coding and directly generate binary files, which will be more efficient than those produced by any compiler, potentially rendering coding as a profession obsolete [1][3]. Group 1: AI's Impact on Software Development - Musk suggests that future software development may eliminate the traditional coding process, with AI systems capable of completing the entire workflow from requirements to executable programs, significantly shortening the time from idea to execution [3]. - Various voices in the industry argue that AI is more likely to enhance productivity rather than completely replace programmers, with developers potentially shifting from writing code to defining problems and validating AI-generated results [3]. - Companies like Microsoft and NVIDIA are enhancing AI applications in software development, with Microsoft testing Claude Code and NVIDIA providing access to OpenAI Codex for code generation and debugging [3]. Group 2: AI as a Primary Author in Software Engineering - Cognition, an AI lab, states that AI is redefining software engineering, transitioning from merely assisting in code writing to becoming the main author of software [4]. - Cognition's co-founder reports that over 90% of their code is generated by AI, with human engineers now inputting less than 10% of the code, raising questions about the necessity of manual coding in current development processes [5]. - OpenAI has also revealed that a team delivered a product with all code generated by AI, with human engineers only involved in supervision and review, resulting in a tenfold increase in development speed [5]. - Anthropic's Chief Product Officer mentions that nearly 100% of their code is written by AI, indicating a significant shift in the coding landscape [5]. Group 3: AI's Role in Accelerating Development Processes - Spotify's co-CEO disclosed that top developers have not written any code since December of the previous year, as the company leverages AI to accelerate its development processes [6].

2026年开年，一款名为OpenClaw的个人开源AI智能体引爆了网络。 一夜之间，这个项目的GitHub星标突破16万。社区基于它创造了各 种神奇应用：从让机器人自主对话，到雇佣人类完成线下任务。 这一切的背后，是一位远离硅谷的奥地利开发者：彼得·斯坦伯格（Peter Steinberger）。 近日，斯坦伯格接受知名创业孵化器Y Combinator专访，揭示了OpenClaw爆红的设计理念。他分享了四个核心判断： 1. "本地优先"带来真正的能力解放，你的个人电脑就是最强的AI服务器。 2. 80%的应用程序将自然消亡。当AI能直接控制人们的设备时，我们将不再需要那么多"管理工具"。 斯坦伯格的技术哲学充满颠覆性：用最简单的工具解决最复杂的问题，将数据所有权彻底归还用户。OpenClaw带来的启示，也许会指向 一个正在形成的、由个人AI构成的去中心化未来。 以下为斯坦伯格专访精华内容： 01 我本想做个私人助手，结果它学会了雇佣人类 问：OpenClaw是一款开源个人AI智能体，近期引发广泛关注。在极短时间内获得超过16万GitHub星标。社区基于此开发了大量项目，例 如实现机器人间自主对话的Maltb ...