“Bring science, not science fiction, back to the AI debate.” At AI4 2026, @drfeifei pushed back against increasingly extreme narratives around artificial intelligence. As AI evolves rapidly, she argued that fear-mongering and unscientific rhetoric can make it harder for policymakers and the public to understand what the technology actually means. Instead, the AI conversation should be grounded in science, education, and healthy communication. For students, teachers, nurses, parents, and workers thinking about how AI could affect their jobs and their children's futures, understanding the technology matters. Her message is simple: AI is a rapidly evolving tool—and society needs a more rational conversation about how to use it. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #FeiFeiLi# #FutureOfAI# #AIInnovation# #AITools# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

AI Practical Use #3#: Let AI help you with Excel data analysis. AI 实用玩法第 3 个： 让 AI 帮你做 Excel 数据分析。 Here is a very common office situation: You have an Excel file with sales data, costs, profit, regions, products, and dates. Normally, you may spend 2 hours writing formulas, checking data, making summaries, and building charts. But with AI, you can finish the first draft in about 10 minutes. 一个很常见的办公场景： 你手里有一份 Excel 数据， 里面有销售额、成本、利润、区域、产品、日期。 以前你可能要花 2 小时： 写公式、查数据、做汇总、看趋势、做图表。 现在可以先交给 AI， 10 分钟生成初步分析结果。 You don’t need to manually type every complex formula. Let AI help you: Build formulas Summarize key findings Find abnormal data Compare trends Suggest chart formats Create a report structure 你不需要自己一个个输入复杂函数。 可以让 AI 帮你： 生成公式 总结关键结论 找出异常数据 对比趋势变化 建议图表形式 生成汇报框架 Here is a simple prompt: 这里有一个简单提示词： Please analyze this Excel data. Help me build the right formulas, summarize the key findings, find possible errors or abnormal values, and suggest the best chart or report format. I will review and verify the final results. 中文版本： 请分析这份 Excel 数据。 帮我生成合适的公式，总结关键结论，找出可能的错误或异常值，并建议最适合的图表或汇报格式。 最终结果由我来审核确认。 The key idea is simple: AI does the heavy first draft. You review the logic and final result. 核心思路很简单： AI 负责先把复杂工作做出来， 你负责审核逻辑和最终结果。 Before: 2 hours manually writing formulas. After: 10 minutes with AI assistance. 以前： 手动写公式、做分析，可能要 2 小时。 现在： 借助 AI，10 分钟先完成初稿。 AI is not here to replace your judgment. It helps you save time on repetitive work, so you can focus on checking, thinking, and making better decisions. AI 不是替代你的判断力。 它是帮你节省重复劳动的时间， 让你把精力放在审核、思考和决策上。 Let AI write the formulas. You review the results. 让 AI 写公式， 你负责审核结果。 That is a smarter way to work. 这才是更聪明的办公方式。 #ChatGPT# #AI# #AITools# #Excel# #ExcelTips# #DataAnalysis# #Productivity# #WorkSmarter# #OfficeWork# #BusinessTools# #Automation# #DigitalTools# #TechTips# #FutureOfWork# #PromptEngineering#

AI is transforming productivity—but productivity is only part of the equation. Speaking at AI4 2026, @drfeifei highlighted a critical distinction: while AI tools can make people and businesses more productive, those gains do not automatically translate into shared prosperity. As AI continues to reshape jobs—creating new opportunities while changing or disrupting others—she argued that the conversation needs to go beyond how much more we can produce. It also needs to consider how the economic benefits of AI can be shared more broadly. Productivity ≠ Shared Prosperity. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #FeiFeiLi# #FutureOfAI# #FutureOfWork# #AIProductivity# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

AI tools are playing an increasingly large role in mental health care, but the governance frameworks needed to ensure they are safe and effective are lagging behind. A policy workshop, hosted by @StanfordHAI's Healthcare AI Policy Steering Committee in collaboration with @StanfordMed's AI for Mental Health Initiative, identified three critical challenges policymakers need to address:

AI coding tools created a new kind of merchant. A developer using Codex or Cloud Code to build something is often also the person selling that thing. Stripe and Shopify once turned ordinary people into online sellers. The same shift is happening again, this time for AI tools and agent-built products. These transactions run at a different scale, global and often tiny in value, and traditional payment networks were not built for that. Bam Azizi (Mesh) on Tokenized with host Simon Taylor said that gap is exactly where stablecoins and blockchain rails start to make sense. 🎙️ Listen to the latest episode on