Britain’s ONS is preparing for a potential change in the law that would force households to respond to key economic surveys, as it tries to rebuild its credibility after a collapse in data quality https://t.co/WOqzPJPrtc ...

编辑 | 冬梅 在 Meta 豪掷 143 亿美元入股竞争对手 Scale AI 时，这家由谷歌前工程师创立、员工仅为对手十分之一的公司，已悄然实现了年营收超 10 亿美元的业 绩，且从未接受外部投资。 AI 竞技场上，聚光灯总在追逐着 OpenAI、Google 等发布下一个万亿参数模型的明星。而决定模型"思维"与"品格"的训练数据，则像被遗忘的地基。 硅谷正上演一幕对比鲜明的戏剧：一边是 Meta 豪掷 143 亿美元收购数据标注公司 Scale AI 近半股份，使其创始人亚历山大·王成为硅谷红人。 另一边，是其低调的对手 Surge AI：成立近五年没有任何融资、过去两年几乎不发新闻稿、员工仅为对手十分之一，却悄悄实现了超过 10 亿美元的营 收，在财务上已超越获得巨资的 Scale AI。 公司组建了一个名为"Surge Force"的精英标注员网络，准入门槛极高。申请者除了需要过硬的专业背景，还需提交 5 道试写题目，经另一名资深标注员审 核通过后才可加入。 该网络不仅包括来自全球的专业人士，甚至聘请了斯坦福、普林斯顿和哈佛的教授来参与训练 AI，旨在将人类的专业知识、创造力和价值观编码进数 据。 ...

RT Adam (@Adam_Tehc)there's a bunch of inflated dashboards, which I myself have relied on, that are wrong.terminator did a great service for data quality.this comes off as a Polymarket issue, which is not the case.I asked @primo_data about a related issue a month ago and was sent the correct logic back, same as suggested by terminator.adam ...

Robotics on BNB Chain is gaining momentum with builders like @EurexaLabs showing what’s possible on this frontier 🤖Note: This post is for informational purposes only and not financial advice. DYOR.https://t.co/cTdES8jlrZEurexaLabs (@EurexaLabs):We're pushing the boundaries of Robot Logistics!Our latest task is designed to generate a high-quality dataset for humanoid robots handling items.We've structured the challenge into 3 distinct levels to significantly enhance data quality.We invite more users to explo ...

As you probably know, AI is already redefining the world economy from financial services to healthcare to automotive, energy, manufacturing, public sector. We are really starting to see great new AI applications come and this is all in partnerships with Nvidia, our great partner who has been pushing us on the envelope of innovation. So what we are talking about here is yes we've been here for many years 27 years in fact but the last 10 years has been amazing in 2015 almost 10 years ago we were supercharging ...

Collaboration Challenges & Vision - Enterprises face challenges due to data silos and fragmented communication, hindering efficient information flow [5][6] - The vision is to ensure fluent, task-specific information flow within cross-functional teams, enabling efficient teamwork [7] - Employees spend approximately two hours per day searching for information, impacting task execution [7] Digital Transformation & the Internet of Tasks - The focus should be on human-centered digital collaboration to transform organizations for efficient and qualitative work [4][5] - The concept of the "internet of tasks" is introduced, emphasizing connecting humans in the context of companies [1] - Building a "digital twin" of the organization is crucial to understand expertise and knowledge within the company [9][10] Data Foundation & AI - Establishing one data foundation is essential to avoid repetitive work and foster organizational growth [5][13] - Data quality is paramount for effective AI implementation; AI needs a good database to be useful [17] - Continuously mapping daily tasks is necessary to build collaborative intelligence and provide nutrition for AI [19] Enterprise Task Management System - Building an enterprise task management system is proposed to document, prioritize, and track tasks, activities, results, and learnings [13] - The enterprise is the sum of its tasks; solving tasks efficiently in terms of quality, budget, and time is a key challenge [14] - The goal is to create a map of activities, knowledge, and expertise within the company through an enterprise task management system [16]

What does AI need to do to deliver real economic value. Let's talk about it with Charles Sansbury, the CEO of Cloudera, who is here with us in studio for a video brought to you by Cloudera. Charles, great to see you.How are you. >> Great to see you and thanks for having me. >> Thanks for being here.We've been talking on the show so much about the economic value of artificial intelligence. Um whether or not there there will be an ROI on this technology. >> I'm so happy to be speaking with you today because y ...

Data Quality Concerns - The Bureau of Labor Statistics (BLS) data quality and reliability has deteriorated over the decades [1] - Declining response rates and a refusal to correct for them are the root causes of the data quality deterioration [2] - BLS leadership did nothing to arrest the deterioration in data quality [3] Political Influence Allegations - There are concerns about potential political interference affecting BLS data [1] - The question of whether the president should fire BLS leadership for disliking the results is raised [4] - The loss of professional staff is unlikely to improve the situation [5] Confidence in Leadership - The nominee's answers do not inspire confidence regarding the protection of BLS independence [5]

Federal Reserve Independence - The report highlights concerns about President Trump's assault on the independence of the Federal Reserve [1][2] - The report questions the nominee's ability to transition from a highly political role to a non-political role without political biases influencing policy [2] - The report suggests the nominee may not be independent enough to contradict President Trump [3][4][5][6][7][8][9][10] Economic Data and Inflation - The report raises concerns about the accuracy and unbiased nature of data from the Bureau of Labor Statistics (BLS), particularly regarding jobs numbers [5][6][7][8][9] - The report questions the nominee's claim that consumers have not seen a material macroeconomic increase from tariffs [10] - The report indicates that costs for basic necessities like groceries, utilities, housing, and school supplies are increasing [11] - The report suggests the nominee is conflating relative price increases with overall inflation [12][13]

Data Reliability Concerns - Bureau of Labor Statistics (BLS) 数据质量和可靠性下降，修订增加 [2] - 本届政府正在解决数据质量问题 [3] Leadership Changes and Future Plans - 总统已任命新领导接管劳工统计局 (BLS) [3] - 目标是为美国人民提供诚实可靠的数据，以供重要的经济决策 [4] - 劳工统计局 (BLS) 计划继续发布月度就业报告 [1] - 需要审查美国获取重要数据的方式和方法 [3]