💰Your data is worth billions — but guess who’s cashing in?In Episode 2 of our #PrivacyinMotion series — created with @MidnightNtwrk and @brave — we expose how tech giants like Meta and Google built empires on your personal information, while you get nothing in return.🎥 Watch the full video here.👇 ...

AI Infrastructure - Meta is building a 5GW AI data center [1]

Meta's AI Infrastructure Expansion - Meta is constructing several multi-gigawatt compute clusters, with the first, Prometheus, expected to be online in 2026 and capable of 1 gigawatt of energy [1] - Meta is also building Hyperion, which will scale up to 5 gigawatts over several years, alongside multiple Titan clusters [2] - This energy capacity rivals that of hyperscalers like Microsoft and Amazon and matches the scale OpenAI and Oracle are aiming for with Project Stargate [2] Strategic Implications - Meta's investment signals its commitment to matching the ambition of other AI leaders "watt for watt" [3] - Zuckerberg's significant spending on AI aims to attract AI talent and dominate the next era of frontier AI models [3] - Meta's massive compute power aims to capture attention from hyperscalers, despite not having an enterprise cloud business, to serve its own AI ambitions [5] Market Reaction - Meta's stock price initially increased by approximately 0.9% following the announcement [3]

A twist in the hard versus soft data debate https://t.co/JIOYPeaGRv ...

Company Expansion - CoreWeave is expanding a data center near Dallas [1] Energy & Infrastructure - Expansion places new demands on the US power grid [1] - Expansion raises concerns about reliability of the US power grid [1]

Dozens of companies are due to report quarterly results this week, including financial giants JP Morgan, Black Rockck, and Bank of America. Then later in the week, investors are going to hear from United Airlines, PepsiCo, Netflix, and many more. We'll also get a slew of economic data.It's kind of exciting. Uh we're going to get key CPI inflation data. That's due tomorrow.Um I don't know whether anything resolves as we wait uh for to to see some negative uh effects. Maybe this will be the week, maybe it won ...

证券代码：600039 证券简称：四川路桥 公告编号：2025- 075 四川路桥建设集团股份有限公司 2025 年第二季度主要经营数据公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 四川路桥建设集团股份有限公司（以下简称公司）根据《上海证券交易所 上市公司行业信息披露指引第八号——建筑》的相关规定，现将 2025 年第二季 度主要经营数据（未经审计）公告如下： | 序号 | 分行 | 第二季度 中标项目 | 第二季度 中标项目 金额 | 本年累计 中标项目 | 本年累计 中标项目 合计金额 | 上年同期 累计中标 项目合计 | | | --- | --- | --- | --- | --- | --- | --- | --- | | | 业 | 数量 （个） | （万元人 民币） | 数量 （个） | （万元人 民币） | 金额 （万元人 | 同比增减 | | | | | | | | 民币） | | | 1 | 基建 | 65 | 3,128,390 | 100 | 6,173,954 | 4,904,606 | +2 ...

AlphaGPT本地化部署采用"数据不出域"原则，所有过程均可在内网完成，敏感信息无需经过外部网络 传输，在物理层面尽可能规避信息泄露风险。不仅如此，针对律所、企业等应用场景的多层级管理需 求，AlphaGPT也支持按角色(合伙人/律师/助理)、按场景(案件研判/合同审查)、按数据类型(机密信息/ 一般信息)设置差异化访问权限，根据实际情况限制非项目成员访问核心数据，同时保留必要的流程协 作通道，做到精细化权限管控，实现"最小必要"原则。 值得一提的是，有别于云端的"一刀切"服务，AlphaGPT本地部署允许机构根据自身业务特性进行优化 整合。例如针对中小型律所、企业，只需通过网页端即可调动AlphaGPT各项功能；针对跨境贸易场 景，可让AlphaGPT根据目标司法管辖区的法律差异，自动优化合同条款，规避潜在风险等等。 显而易见，AlphaGPT在"数据不出域"方面的种种举措，不仅是对用户数据主权和数据安全焦虑的回 应，更是对法律服务专业化、高端化发展的有力诠释。 在数字化转型的浪潮中，法律行业正经历一场深刻变革。当人工智能技术逐步应用至合同审查、案件审 理等核心法律服务场景时，数据安全与隐私保护的底线思维 ...

来源： Sequoia Capital Inference Z Highlights: 10. 根据交付价值定价并货币化 • 超越基于席位或原始使用量的定价。将定价与您的 AI 实现的具体业务成果相结合，无论是工作流程完成度、可衡量的节省还是战略影响。这种方法能够 更好地体现您创造的真正价值。 ￮ Amit Bendov/Gong （第 46 集）：价格基于交付的价值，而不是席位。 ￮ Manny Medina/Paid （第 39 集）：制定策略来提高定价成熟度曲线，使定价与客户价值保持一致。 ￮ Clay Bevor/Sierra （第 11 集）和 Bret Taylor/Sierra （第 43 集）：将定价模型与客户价值和购买流程相结合。 ￮ Joe Spisak/Meta ， Llama （第 7 集）：价值从模型开发转向应用和定制。 9. 开发可靠性和规模化的强大基础设施 • 任务关键型 AI 需要企业级基础架构 —— 状态管理、可观察性、安全性和可扩展性。将可靠性视为一流的工程问题，并进行全面的测试、监控和系统性错 误处理。 ￮ Sridhar Ramaswamy/Snowflake （第 1 ...

Group 1 - Hull Tactical US ETF (BATS: HTUS) is an actively managed ETF launched on June 24, 2015, aimed at long-term capital appreciation [1] - HTUS has a 12-month dividend yield of 16.83% and a 30-day SEC yield of 0.78% [1] - The investing group led by Fred Piard focuses on quality dividend stocks and companies at the forefront of tech innovation, providing various market risk indicators and investment strategies [1] Group 2 - Fred Piard, PhD, has over 30 years of experience in technology and has been investing in data-driven systematic strategies since 2010 [1]