Sunday, March 29, 2026

中国国家规划里的人工智能(AI) - 五年间从一行字变成了一整章

打开APP
APP内打开

国家规划里的人工智能(AI),五年间从一行字变成了一整章

======

作者:brown的ai治理笔记
关注
6天前 2026-03-23
头条听资讯,时事尽掌握
去听全文

#十五五规划将如何影响我们的生活#

#畅聊人工智能#

#我要上精选-全民写作大赛#


2020年的十四五规划中,人工智能和脑科学、深海探测并列写在前沿技术清单里,一共十几句话。2026年的十五五规划中,人工智能占了整整一个篇章,篇幅扩大了近六倍。背后是国家对 AI 定位的根本性转变,从战略定性到应用场景,从治理框架到发展节奏,四个维度都发生了深刻调整。搞清楚这些变化,你才能判断接下来哪些行业会变、自己的饭碗会不会受影响。


国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情


国家为什么突然把 AI 提升到专篇级别


回看十四五规划,人工智能的定位很清晰,就是前沿技术之一,跟量子信息、生物育种一个待遇。第7节的措辞是”瞄准人工智能、量子信息、集成电路、生命健康、脑科学、生物育种、空天科技、深地深海等前沿领域”,动作是实施一批国家重大科技项目。说白了,五年前国家觉得 AI 还在追赶阶段,需要砸钱攻下来。


产业端的定位就更含蓄了。第12条要求“推动互联网、大数据、人工智能等同各产业深度融合”,关键词就是融合,潜台词是 AI 是一个可以叠加到传统产业上的工具,本身还不是独立的产业力量。第15条加快数字化发展中,人工智能只是数字经济的一个组成部分,远不是主角。

国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情

十五五规划则完全换了一套逻辑。纲要专门为数字化和智能化设立了第四篇,标题就叫深入推进数字中国建设,提升数智化发展水平,其中技术底座、应用赋能、生态营造三个方向各有专节部署。一个前沿技术条目升级为专篇级别的战略支柱,这在五年规划的历史上并不多见,说明人工智能在决策层眼中的分量已经发生了质变。


措辞的变化更能说明问题。十四五用的是推动融合,十五五用的是”深化拓展人工智能+行动,赋能经济社会发展和治理能力提升,促进生产方式深层次变革和生产力革命性跃迁”。从叠加工具到变革引擎,定位跃升了一个量级。更值得注意的是,这种紧迫感不只出现在数字化专篇里,教育改革章节也要求超常规布局人工智能等新兴领域急需学科专业,超常规三个字在五年规划中极为罕见。


这意味着什么?当国家用一整个篇章来部署人工智能,接下来几年,教育改革、产业政策、就业引导会密集出台。你的孩子在学校会接触到更多 AI 相关课程,你所在的行业大概率会收到来自政策层面的智能化转型要求,这些信号已经在传导到你身边了。



你的行业可能正在被 AI 重新定义


五年前,人工智能的应用场景基本集中在制造业。传统产业要高端化、智能化、绿色化,服务业要加快推进数字化。智能化在这里基本等同于技术改造,用数字工具提升现有产业的效率。


十五五规划的覆盖面则完全不是一个量级。规划明确要求加强人工智能同科技创新、产业发展、文化建设、民生保障、社会治理相结合,一句话覆盖了五个大领域。教育领域要推动人工智能助力教学模式变革,医疗领域要落地辅助诊疗和精准医疗,政务领域要推进全程智能办理,治理领域要提升社会治理智能化水平。从工厂车间到学校课堂,从医院诊室到政府窗口,AI 的应用版图已经铺开了。

国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情

这种扩展不只是量的增加。十四五的逻辑是用 AI 改造已有的产业,十五五的逻辑是让 AI 催生新的业态。规划专门提出要“培育智能原生新模式新业态”,要建国家人工智能应用中试基地,还要发展具身智能、群体智能等全新方向。这意味着未来几年,可能会出现一批从一开始就是围绕 AI 能力设计的产品和服务,就像当年移动互联网催生出短视频、直播带货这些原生业态一样。


还有一个信号值得留意。十五五规划在就业章节中专门提到,要“综合应对外部环境变化和人工智能等新技术发展对就业的影响”。决策层已经把 AI 对就业的冲击纳入了常规政策考量,不再只是学术界讨论的话题。对普通劳动者来说,这意味着未来的职业培训、就业补贴等政策可能会更多地回应技术替代带来的压力。你在考虑职业方向时,这条信息比任何市场分析都重要。



国家准备怎么管 AI?跟你用的每个 App 都有关


五年前 AI 治理在规划文本中的分量还很轻。十四五规划中数据安全有提及,但框架很初步,主要是建立数据资源产权、交易流通、跨境传输和安全保护等基础制度。网络安全出现在国家安全章节中,但没有与人工智能挂钩。五年前的政策重心是先发展起来,治理是后话。

国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情

十五五规划则用了整整一节来搭建治理框架。第十四章营造健康有序的发展生态提出了一系列具体制度。算法方面,要健全算法备案、透明度管理、安全评估等制度。风险方面要建立全生命周期风险管理制度,覆盖安全监测、风险预警和应急响应。数据方面要实施数据分类分级管理,建立健全数据产权、流通利用和安全治理等基础制度。权利方面要明确人工智能生成物的权利归属,理清开发者、经营者和使用者的权责关系。


这套制度的颗粒度已经细到了操作层面。从算法备案到全生命周期风险管理,从生成内容的权利归属到平台企业的数据算法监管,每一步都有具体的制度抓手。对企业和开发者来说,未来 AI 产品上线之前,可能需要通过多环节合规审批。


国际维度同样在变。十四五在数字领域只提了积极参与数字领域国际规则和标准制定这样一句话。十五五则明确提出要推动建立各国广泛参与的人工智能治理框架,积极提出国际规则的中国方案,支持全球南方国家加强人工智能能力建设。中国正在从 AI 治理规则的接受者转变为塑造者。


对每个人来说,最直接的影响是日常使用的那些 App 和 AI 服务。算法推荐会有更透明的规则,深度伪造内容会被更严厉打击,个人数据的使用边界会更清晰。未来的 AI 服务可能会像食品包装一样标注成分和风险等级。

国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情


从抢抓机遇到踩刹车看路


对比两份规划的总基调,能感受到一种态度上的微妙变化。


十四五的表述充满紧迫感,反复强调抢抓机遇、乘势而上。AI 被放在战略性新兴产业的框架下,整体语境是全球技术竞赛中的追赶与突破。


十五五的基调则更加沉稳,发展与安全开始同步推进。算力建设层面要求推动绿色电力与算力协同布局,产业协同层面强调模芯云用协同创新,数据治理层面要求实施数据分类分级管理。每一项发展举措后面,都跟着安全方面的约束条件。对普通用户来说,这意味着未来你用到的 AI 服务大概率会附带更明确的安全提示和使用规范。

国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情

规划还专门提到要依法打击数据滥用、深度伪造和泄露隐私等行为,健全新技术新业态安全监管框架,构建技术应用分级管理机制。这些具体的执法和监管工具说明,安全已经从口号变成了有落地抓手的制度安排。


从推动落地到有序运转,这个转变其实很正常。五年前 AI 还主要是实验室里的技术和少数先行企业的实践,政策的重点自然是鼓励尝试。现在大模型已经进入千家万户,深度伪造和数据泄露已经是现实风险,政策的重点自然要转向如何让这股力量在安全的轨道上运转。


五年前后,人工智能在中国国家战略中的位置发生了根本性的跃升。从一份技术清单上的一个条目,到撑起独立的战略篇章,这个变化不止发生在国内。中国已经从 AI 治理规则的被动接受者,转变为主动参与全球规则塑造的力量。与此同时,AI 的应用版图已经从少数行业的效率工具,扩展到了教育、医疗、政务、就业的各个角落,发展的节奏也从先冲再说的粗放阶段,进入了安全约束与创新激励同步推进的新常态。

国家规划里的人工智能(AI),五年间从一行字变成了一整章

打开今日头条查看图片详情

对每个人来说,读懂这个变化,比读懂任何一条市场消息都更有价值,因为它决定了未来几年你的工作方式、消费选择和生活场景会怎么变。


=====The End =====

=====The End =====


打开今日头条查看更多热点
相关推荐
打开今日头条查看全部
中东局势四国外长会议在巴基斯坦举行 来源:新华网 新华社伊斯兰堡3月29日电(记者杨恺)巴基斯坦、土耳其、埃及和沙特阿拉伯四国外长会议29日在巴首都伊斯兰堡开始举行。会议将讨论缓和中东局势和促进地区稳定的途径。
去今日头条看专享资讯
中国AI的未来!听听大哥是怎么分析的
去今日头条看专享资讯
05:40
美国顶尖大学到底怎么样?中国学生说实话
去今日头条看专享资讯
09:05
未来5年,AI赛道拼什么?不是算法,是“家底”
去今日头条看专享资讯
Transformer是什么?10分钟速通AI世一论文 2017年那篇“无人问津
去今日头条看专享资讯
11:15
从0到1 打造独角兽:Opus Clip 创始人首度公开“30 天极速盈利
去今日头条看专享资讯
38:51
油管小清新播客English in Comfort _ 绝佳的英语听力素材
去今日头条看专享资讯
33:30
在微软里面工作是一种什么体验?会不会加班?有没有勾心斗角?
去今日头条看专享资讯
15:16
AI应用全景图:九大领域引领未来科技浪潮
去今日头条看专享资讯
00:10
AI的全景探索:未来科技九大领域引领潮流
去今日头条看专享资讯

—— © 2026 今日头条 ——
评论 0
暂无评论

著名美籍华裔刑事鉴识专家李昌钰去世

法证科学生满狮城得意门生难忘李昌钰曾协助高文双尸案重组案情

https://www.8world.com/singapore/local-forensic-science-expert-stella-tan-shares-memories-of-henry-lee-3099601

・著名美籍华裔刑事鉴识专家李昌钰长期受邀到警察学院授课分享法证专业知识,新加坡国立大学推出法医学科后,也长期邀请他前来授课。

他的得意门生、国大理学院助理院长 (本科生与学生生活)兼法证科学课程主任陈玮玲副教授透露,从不食言的李昌钰原本答应今年再次到本地授课,没想他突然过世,只好失约。

本地一些轰动的刑事案在案情重组方面,也常请教李昌钰,包括在2013年受邀飞来本地协助重组轰动一时的高文双尸案案情。

=====


My lunch on 2026-03-28 at the 8th Birthday Celebration of GG's Son Alexander at a restaurant in Paragon Orchard Area.


Pasta 

My Weight Statistics (2026-03-28) - Monthly Weight Measurement on the 28th of Each Month Since 28 May 2007


My Weight Statistics (2026-03-28) - Monthly Weight Measurement on the 28th of Each Month Since 28 May 2007

My 18-year Weight Management Records from 2007-05-28 to 2026-03-28 (by Calorie Restriction, i.e. Dietary Energy Restriction):

 



My 18-year Weight Management Records from 2007-05-28 to 2026-03-28 (by Calorie Restriction, i.e. Dietary Energy Restriction):

Note: According to the Singapore Health Promotion Board, a Healthy BMI is greater than18.5 and less than 23.0. A BMI less than 18.5 would mean that the individual is at risk of nutrition deficiency diseases and osteoporosis. 

A BMI equal or greater than 23.0 would mean that the individual is at risk of obesity-related diseases. (Ref: DD-Md2022J28)

As of 2026-03-28,

Note: ### indicates BMI = 23 or > 23

Total number of Monthly Weight monitored was 226 (100%)

The no. of times my healthy BMI between 18.5 and 22.9 was 221 (97.787%)

The no. of times my unhealthy BMI equal or more than 23.000 was 5 (2.213%)

=======================

2007

2007-05-28 morning, my weight = 65.0 kg, BMI = 23.588###

2007-06-28 morning, my weight = 61.0 kg, BMI = 22.136

2007-07-28 morning, my weight = 59.0 kg, BMI = 21.410

2007-08-28 morning, my weight = 58.7 kg, BMI = 21.302

2007-09-28 morning, my weight = 57.5 kg, BMI = 20.866

2007-10-28 morning, my weight = 57.5 kg, BMI = 20.866

2007-11-28 morning, my weight = 56.2 kg, BMI = 20.394

2007-12-28 morning, my weight = 55.5 kg, BMI = 20.140

2008

2008-01-28 morning, my weight = 54.8 kg, BMI = 19.886

2008-02-28 morning, my weight = 54.8 kg, BMI = 19.886

2008-03-28 morning, my weight = 54.5 kg, BMI = 19.777

2008-04-28 morning, my weight = 54.4 kg, BMI = 19.741

2008-05-28 morning, my weight = 54.1 kg, BMI = 19.632

2008-06-28 morning, my weight = 54.6 kg, BMI = 19.814

2008-07-28 morning, my weight = 54.5 kg, BMI = 19.777

2008-08-28 morning, my weight = 54.3 kg, BMI = 19.705

2008-09-28 morning, my weight = 54.9 kg, BMI = 19.923

2008-10-28 morning, my weight = 55.3 kg, BMI = 20.068

2008-11-28 morning, my weight = 54.5 kg, BMI = 19.777

2008-12-28 morning, my weight = 55.6 kg, BMI = 20.177

2009

2009-01-28 morning, my weight = 54.8 kg, BMI = 19.886

2009-02-28 morning, my weight = 55.9 kg, BMI = 20.285

2009-03-28 morning, my weight = 54.8 kg, BMI = 19.886

2009-04-28 morning, my weight = 55.3 kg, BMI = 20.068

2009-05-28 morning, my weight = 55.4 kg, BMI = 20.104.

2009-06-28 morning, my weight = 55.2 kg, BMI = 20.031

2009-07-28 morning, my weight = 55.1 kg, BMI = 19.995

2009-08-28 morning, my weight = 55.2 kg, BMI = 20.031

2009-09-28 morning, my weight = 56.3 kg, BMI = 20.431

2009-10-28 morning, my weight = 55.8 kg, BMI = 20.249

2009-11-28 morning, my weight = 56.2 kg, BMI = 20.394

2009-12-28 morning, my weight = 56.1 kg, BMI = 20.358

2010

2010-01-28 morning, my weight = 55.6 kg, BMI = 20.177

2010-02-28 morning, my weight = 56.5 kg, BMI = 20.503

2010-03-28 morning, my weight = 56.4 kg, BMI = 20.467

2010-04-28 morning, my weight = 55.7 kg, BMI = 20.213

2010-05-28 morning, my weight = 55.1 kg, BMI = 19.995

2010-06-28 morning, my weight = 56.4 kg, BMI = 20.467

2010-07-28 morning, my weight = 55.5 kg, BMI = 20.140

2010-08-28 morning, my weight = 55.8 kg, BMI = 20.249

2010-09-28 morning, my weight = 55.8 kg, BMI = 20.249

2010-10-28 morning, my weight = 55.4 kg, BMI = 20.104

2010-11-28 morning, my weight = 55.6 kg, BMI = 20.177

2010-12-28 morning, my weight = 55.5 kg, BMI = 20.140

2011

2011-01-28 morning, my weight = 55.4 kg, BMI = 20.104

2011-02-28 morning, my weight = 56.5 kg, BMI = 20.503

2011-03-28 morning, my weight = 55.6 kg, BMI = 20.177

2011-04-28 morning, my weight = 55.7 kg, BMI = 20.213

2011-05-28 morning, my weight = 55.6 kg, BMI = 20.177

2011-06-28 morning, my weight = 56.3 kg, BMI = 20.431

2011-07-28 morning, my weight = 56.5 kg, BMI = 20.503

2011-08-28 morning, my weight = 56.9 kg, BMI = 20.649

2011-09-28 morning, my weight = 56.2 kg, BMI = 20.394

2011-10-28 morning, my weight = 56.8 kg, BMI = 20.613

2011-11-28 morning, my weight = 59.0 kg, BMI = 21.410

2011-12-28 morning, my weight = 60.3 kg, BMI = 21.882

2012

2012-01-28 morning, my weight = 61.5 kg, BMI = 22.318

2012-02-28 morning, my weight = 62.7 kg, BMI = 22.753

2012-03-28 morning, my weight = 62.5 kg, BMI = 22.681

2012-04-28 morning, my weight = 61.3 kg, BMI = 22.246

2012-05-28 morning, my weight = 60.7 kg, BMI = 22.028

2012-06-28 morning, my weight = 60.6 kg, BMI = 21.992

2012-07-28 morning, my weight = 61.2 kg, BMI = 22.209

2012-08-28 morning, my weight = 60.8 kg, BMI = 22.064

2012-09-28 morning, my weight = 61.5 kg, BMI = 22.318**

2012-10-28 morning, my weight = 62.3 kg, BMI = 22.608

2012-11-28 morning, my weight = 63.4 kg, BMI = 23.008###

2012-12-28 morning, my weight = 62.9 kg, BMI = 22.826

2013

2013-01-28 morning, my weight = 63.0 kg, BMI = 22.863

2013-02-28 morning, my weight = 62.1 kg, BMI = 22.536

2013-03-28 morning, my weight = 61.5 kg, BMI = 22.318

2013-04-28 morning, my weight = 63.1 kg, BMI = 22.899****

2013-05-28 morning, my weight = 62.3 kg, BMI = 22.608

2013-06-28 morning, my weight = 62.2 kg, BMI = 22.572

2013-07-28 morning, my weight = 62.4 kg, BMI = 22.645

2013-08-28 morning, my weight = 62.6 kg BMI = 22.717

2013-09-28 morning, my weight = 62.4 kg BMI = 22.645**

2013-10-28 morning, my weight = 62.3 kg BMI = 22.609

2013-11-28 morning, my weight = 63.1 kg BMI = 22.899

2013-12-28 morning, my weight = 64.4 kg BMI = 23.371###

2014

2014-01-28 morning, my weight = 63.6 kg, BMI = 23.080###

2014-02-28 morning, my weight = 63.3 kg, BMI = 22.971

2014-03-28 morning, my weight = 62.7 kg, BMI = 22.753

2014-04-28 morning, my weight = 62.7 kg, BMI = 22.753

2014-05-28 morning, my weight = 62.9 kg, BMI = 22.826

2014-06-28 morning, my weight = 63.1 kg BMI = 22.899

2014-07-28 morning, my weight = 62.7 kg, BMI = 22.753

2014-08-28 morning, my weight = 62.2 kg, BMI = 22.572

2014-09-28 morning, my weight = 61.2 kg, BMI = 22.209

2014-10-28 morning, my weight = 61.4 kg, BMI = 22.282

2014-11-28 morning, my weight = 60.2 kg, BMI = 21.846

2014-12-28 morning, my weight = 60.8 kg, BMI = 22.064

2015

2015-01-28 morning, my weight = 61.3 kg, BMI = 22.246

2015-02-28 morning, my weight = 61.8 kg, BMI = 22.427

2015-03-28 morning, my weight = 61.8 kg, BMI = 22.427

2015-04-28 morning, my weight = 62,5. kg, BMI = 22.681

2015-05-28 morning, my weight = 62.4 kg, BMI = 22.645

2015-06-28 morning, my weight = 63.6 kg, BMI = 23.080###

2015-07-28 morning, my weight = 62.3 kg BMI = 22.609

2015-08-28 morning, my weight = 62.2 kg, BMI = 22.572

2015-09-28 morning, my weight = 63.0 kg, BMI = 22.863

2015-10-28 morning, my weight = 63.2 kg, BMI = 22.935

2015-11-28 morning, my weight = 62.6 kg, BMI = 22.717

2015-12-28 morning, my weight = 62.3 kg BMI = 22.609

2016

2016-01-28 morning, my weight = 63.0 kg, BMI = 22.863

2016-02-28 morning, my weight = 62.8 kg, BMI = 22.790

2016-03-28 morning, my weight = 62.0 kg, BMI = 22.499

2016-04-28 morning, my weight = 62.0 kg, BMI = 22.499

2016-05-28 morning, my weight = 62.4 kg, BMI = 22.645

2016-06-28 morning, my weight = 62.1 kg, BMI = 22.536

2016-07-28 morning, my weight = 62.2 kg, BMI = 22.572

2016-08-28 morning, my weight = 62.6 kg, BMI = 22.717

2016-09-28 morning, my weight = 62.8 kg, BMI = 22.790

2016-10-28 morning, my weight = 62,5. kg, BMI = 22.681

2016-11-28 morning, my weight = 62.1 kg, BMI = 22.536

2016-12-28 morning, my weight = 62.3 kg, BMI = 22.608

2017

2017-01-28 morning, my weight = 62.9 kg, BMI = 22.826

2017-02-28 morning, my weight = 62.4 kg, BMI = 22.644

2017-03-28 morning, my weight = 62.8 kg, BMI = 22.789

2017-04-28 morning, my weight = 62.3 kg, BMI = 22.609

2017-05-28 morning, my weight = 62.2 kg, BMI = 22.572

2017-06-28 morning, my weight = 62.6 kg, BMI = 22.717

2017-07-28 morning, my weight = 62.4 kg, BMI = 22.645

2017-08-28 morning, my weight = 61.9 kg, BMI = 22.463

2017-09-28 morning, my weight = 62.0 kg, BMI = 22.499

2017-10-28 morning, my weight = 62.0 kg, BMI = 22.499

2017-11-28 morning, my weight = 61.5 kg, BMI = 22.318

2017-12-28 morning, my weight = 61.5 kg, BMI = 22.318

2018

My Weight 2018-01-28 0934 hr 61.0 kg BMI 22.136

My Weight 2018-02-28 0915 hr 60.7 kg BMI 22.027

My Weight 2018-03-28 0620 hr 61.0 kg BMI 22.136

My Weight 2018-04-28 1005 hr 61.7 kg BMI 22.390

My Weight 2018-05-28 0856 hr 60.5 kg BMI 21.955

My Weight 2018-06-28 0600 hr 61.4 kg BMI 22.281

My Weight 2018-07-28 0600 hr 62.2 kg BMI 22.572

My Weight 2018-08-28 0720 hr 61.4 kg BMI 22.281

My Weight 2018-09-28 0805 hr 62.1 kg BMI 22.535

My Weight 2018-10-28 0750 hr 61.3 kg BMI 22.24

My Weight 2018-11-28 1000 hr 61.5 kg BMI 22.318

My Weight 2018-12-28 0650 hr 62.5 kg BMI 22.681

2019

2019-01-28 at 1000 hr 60.9 kg BMI 22.100

2019-02-28 at 0946 hr 61.0 kg BMI 22.136

2019-03-28 at 0700 hr 62.4 kg BMI 22.644

2019-04-28 at 0828 hr 62.9 kg BMI 22.826

2019-05-28 at 0745 hr 62.4 kg BMI 22.826

2019-06-28 at 0650 hr 62.4 kg BMI 22.644

2019-07-28 at 0736 hr 62.8 kg BMI 22.789

2019-08-28 at 0629 hr 62.4 kg BMI 22.644

2019-09-28 at 0644 hr 61.9 kg BMI 22.463

2019-10-28 at 0740 hr 62.5 kg BMI 22.681

2019-11-28 at 0632 hr 62.8 kg BMI 22.789

2019-12-28 at 0726 hr 62.5 kg BMI 22.681

2020

My Weight 2020-01-28 0625 HR  62.6 kg BMI 22.717

My Weight 2020-02-28 0728 HR  62.3 kg BMI 22.608

My Weight 2020-03-28 0649 HR  61.4 kg BMI 22.281

My Weight 2020-04-28 0810 HR  62.0 kg BMI 22.499

My Weight 2020-05-28 0714 HR  62.3 kg BMI 22.608

My Weight 2020-06-28 0757 HR  60.2 kg BMI 21.846

My Weight 2020-07-28 0715 HR  61.6 kg BMI 22.354

My Weight 2020-08-28 0707 HR  61.1 kg BMI 22.173

My Weight 2020-09-28 0609 HR  60.8 kg BMI 22.064

My Weight 2020-10-28 0818 HR  60.7 kg BMI 22.027

My Weight 2020-11-28 0706 HR  60.9 kg BMI 22.100

My Weight 2020-12-28 0631 HR  60.5 kg BMI 21.955

2021

My Weight 2021-01-28 0638 HR  61.3 kg BMI 22.245

My Weight 2021-02-28 0741 HR  61.2 kg BMI 22.209

My Weight 2021-03-28 0659 HR  61.3 kg BMI 22.245

My Weight 2021-04-28 0659 HR  61.1 kg BMI 22.173

My Weight 2021-05-28 0618 HR  61.1 kg BMI 22.173

My Weight 2021-06-28 0604 HR  61.3 kg BMI 22.245

My Weight 2021-07-28 0642 HR  61.2 kg BMI 22.209

My Weight 2021-08-28 0653 HR  61.5 kg BMI 22.318

My Weight 2021-09-28 0618 HR  61.5 kg BMI 22.318

My Weight 2021-10-28 0549 HR  61.0 kg BMI 22.136

My Weight 2021-11-28 0630 HR  61.3 kg BMI 22.245

My Weight 2021-12-28 0528 HR  61.6 kg BMI 22.354

======================================

2022

My Weight 2022-01-28 0910 HR  61.1 kg  BMI 22.173

My Weight 2022-02-28 0642 HR  61.2 kg  BMI 22.209

My Weight 2022-03-28 0649 HR  61.4 kg  BMI 22.281

My Weight 2022-04-28 0649 HR  61.4 kg  BMI 22.281

My Weight 2022-05-28 0549 HR  61.0 kg  BMI 22.136

My Weight 2022-06-28 0549 HR  61.0 kg  BMI 22.136

My Weight 2022-07-28 0700 HR  60.6 kg  BMI 21.991

My Weight 2022-08-28 0640 HR  61.3 kg  BMI 22.245

My Weight 2022-09-28 0738 HR  61.7 kg  BMI 22.390

My Weight 2022-10-28 0708 HR  61.5 kg  BMI 22.318

My Weight 2022-11-28 0706 HR  60.9 kg BMI 22.100

My Weight 2022-12-28 0722 HR  61.1 kg  BMI 22.173

========

2023

My Weight 2023-01-28 0537 HR 60.9 kg BMI 22.100

My Weight 2023-02-28 0515 HR 61.4 kg  BMI 22.281

My Weight 2023-03-28 0606 HR  61.3 kg  BMI 22.245

My Weight 2023-04-28 0738 HR  61.3 kg  BMI 22.245

My Weight 2023-05-28 0721 HR  61.0 kg  BMI 22.136

My Weight 2023-06-28 0641 HR  61.2 kg  BMI 22.209

My Weight 2023-07-28 0700 HR  60.9 kg BMI 22.100

My Weight 2023-08-28 0655 HR  61.3 kg  BMI 22.245

My Weight 2022-09-28 0738 HR  61.7 kg  BMI 22.390

My Weight 2022-10-28 0708 HR  61.5 kg  BMI 22.318

My Weight 2023-11-28 0612 HR 61.4 kg  BMI 22.281

My Weight 2023-12-28 0734HR  61.3 kg  BMI 22.245


========

2024

My Weight 2024-01-28 0734 HR  61.3 kg BMI 22.245

My Weight 2024-02-28 0510 HR  61.6 kg BMI 22.354

My Weight 2024-03-28 0642 HR  60.9 kg BMI 22.100

My Weight 2024-04-28 0721 HR  61.1 kg BMI 22.173

My Weight 2024-05-28 0537 HR  61.3 kg BMI 22.245

My Weight 2024-06-28 0651 HR  61.5 kg BMI 22.318

My Weight 2024-07-28 0612 HR 61.4 kg  BMI 22.281

My Weight 2024-08-28 0747 HR  61.1 kg BMI 22.173

My Weight 2024-09-28 0640 HR  61.1 kg BMI 22.173

My Weight 2024-10-28 0546 HR  61.5 kg BMI 22.318

My Weight 2024-11-28 0706 HR 61.4 kg  BMI 22.281

My Weight 2024-12-28 0649 HR 61.9 kg BMI 22.463

=======================================

2025

My Weight 2025-01-28 0625 HR  61.6 kg BMI 22.354

My Weight 2025-02-28 0742 HR  61.5 kg BMI 22.318

My Weight 2025-03-28 0640 HR  61.6 kg BMI 22.354

My Weight 2025-04-28 0734 HR  61.7 kg  BMI 22.390

My Weight 2025-05-28 0738 HR  61.8 kg  BMI 22.427

My Weight 2025-06-28 0606 HR  62.6 kg  BMI 22.717

My Weight 2025-07-28 0757 HR  62.7 kg  BMI 22.753

My Weight 2025-08-28 0546 HR  62.6 kg, BMI 22.717

My Weight 2025-09-28 0540 HR  62.2 kg BMI 22.572

My Weight 2025-10-28 0516 HR  62.4 kg BMI 22.644

My Weight 2025-11-28 0810 HR  62.1 kg BMI 22.535

My Weight 2025-12-28 0702 HR  62.2 kg BMI 22.572

=========================

2026

My Weight 2026-01-28 0733 HR 61.9 kg BMI 22.463

My Weight 2026-02-28 0649 HR 62.4 kg BMI 22.644

My Weight 2026-03-28 0511 HR 62.1 kg BMI 22.535

=========================


Note:

My current BMI is within the healthy range of 18.5 to 22.9.

For me, the range of healthy weight is 50.9786 kg (BMI = 18.5) to 63.10324 kg (BMI = 22.9).

People with BMI values of 23 kg/m2 (or 25 kg/m2 according to some sources) and above have been found to be at risk of developing heart disease and diabetes.

To be healthy, I must have a healthy weight.

Be as lean as possible without being underweight, as recommended by World Cancer Prevention Foundation, United Kingdom.

=================================

Note: On 2021-05-28, I removed the unimportant details of old records from My Weight Management Records.

=================================


Ref. WeightManagement



How Is AI Poisoned?

How Is AI Poisoned?

Translated by ChatGPT

https://www.zaobao.com.sg/lifestyle/columns/story20260328-8793171?utm_source=android-share&utm_medium=app

2026-03-28

Author: I Lo-fen (Chinese: 衣若芬; pinyin: Yi Ruofen)

(She is a Professor at Nanyang Technological University)

=====

Don’t assume that AI reflects a clean mirror. What it reflects may instead be a stage carefully set up at great expense by someone else—and what is performed on that stage is a designed outcome…

A recent hot topic in China is the “315 Gala.” March 15 is World Consumer Rights Day, when society focuses on unscrupulous businesses that exploit consumers. But this year’s 315 introduced a chilling new term: “AI poisoning.” Have you ever thought that the AI assistant you trust every day might actually be lying to you?

Many people ask me curiously, “Professor Yi, AI isn’t a living organism—it doesn’t eat. How can it be poisoned?” In fact, AI’s “food” is the massive amount of data on the internet. So-called “poisoning” refers to malicious actors in black-market industries deliberately injecting false information, fabricated expert reviews, and even misleading images into this data.

This is like a child learning to read—if all the books they read are wrong, then what they say and do as adults will also be wrong. Today’s black-market operators no longer rely on obvious, easily spotted advertisements. Instead, they disguise false promotions as authoritative knowledge and “feed” them into AI training databases.

Why do they go to such lengths to poison AI? Because they are targeting GEO (Generative Engine Optimization). In the past, the focus was on SEO (Search Engine Optimization), to get web pages ranked on the first page of search results. Now, with GEO, the goal is to make AI directly present their inferior products as the “only recommendation” when generating answers.

From the perspective of AIGC text-and-image studies, this is “input-side text pollution.” The content generated by AI is essentially a mirror of the “texts” it has learned. If the source is contaminated, the generated world will also be toxic. The most frightening aspect of this deception is that it exploits our trust in the “neutrality of algorithms.” It lowers our guard, making us believe this is “truth” produced by technology—when in fact it is advertising bought and paid for by black-market players.

AI poisoning works by tampering with the “keywords” and “feedback logic” that AI learns from.

First is the “keyword saturation attack.” Black-market operators use thousands of bot accounts to publish large volumes of fake articles containing specific keywords across the internet. For example, to promote a low-quality skincare product, they aggressively associate it with terms like “whitening,” “safe,” and “expert-recommended.” When AI scans the web, it is misled by this overwhelming volume and mistakes it for genuine “social consensus.”

Second is “visual text deception.” They use AI to generate highly professional-looking laboratory comparison images, fake certificates, and even entirely fabricated research settings. In the logic of text-and-image studies, images are also a form of text. Once these “visual texts” are captured and converted into logical evidence, AI will confidently present these false proofs as facts when answering your questions.

Whoever succeeds in GEO poisoning gains control over the flow of traffic and influence. The mutual reinforcement of fake text and images traps large AI language models in carefully planted snares.

Two years ago, when AI technology was still immature, we laughed at it for “talking nonsense with a straight face.” Now, as AI grows more powerful, we have gradually lowered our guard. We begin to trust AI, believing it has no stance, no self-interest, no human tendency to lie or pursue material gain. Some even regard AI as an organizer of knowledge and a transmitter of truth.

Realizing that AI can be poisoned is an important wake-up call for us. Don’t assume AI reflects a clean mirror. What it shows may be a stage someone has spent heavily to construct, where every outcome is designed—guiding us step by step toward prearranged choices.

Whether searching the internet or asking questions in AI systems, if we simply pick the first few suggestions without thinking, the loss is not just being misled by nonsense—it is blindly and willingly consuming the poison.

衣若芬:AI怎么被投毒?

AI怎么被投毒?

https://www.zaobao.com.sg/lifestyle/columns/story20260328-8793171?utm_source=android-share&utm_medium=app

2026-03-28
作者 衣若芬
(南洋理工大学教授)

Author: I Lo-fen (Chinese: 衣若芬; pinyin: Yi Ruofen)

=====

别以为AI反射的是一面干净的镜子。它映照的,可能是有人花了大价钱布置好的舞台,舞台上演出的,是被设计出的结果……

最近中国很火的话题就是315晚会。3月15日是国际消费者权益日,每年的这一天,全社会都在盯着那些坑人的黑心商家。但今年的315抛出了一个让所有人都流冷汗的新名词,叫做:“AI投毒”。你有没有想过,你每天深信不疑的AI助手,可能正在对你撒谎?

很多人好奇地问我:“衣老师,AI又不是生物,它又不会自己吃东西,怎么会中毒呢?”其实,AI的“食物”就是网络上的海量数据。所谓的“投毒”,就是黑色产业链中的恶意攻击者,故意往这些数据里塞进虚假信息、伪造的专家评价,甚至是带有误导性的图像。

这就好比一个正在识字的孩子,如果他读的书全是错的,那他长大了说的话、做的事肯定也是错的。现在的黑产不再发那种一眼就能看穿的小广告,而是把虚假宣传伪装成权威的知识,“喂”给AI的训练数据库。

黑产为什么要费这么大力气投毒?为他们要针对GEO(Generative Engine Optimization),也就是“生成引擎优化”。 以前强调SEO (Search Engine Optimization) ,是为了让网页排在搜索结果的第一页;现在他们针对GEO,是为了让AI在生成答案时,直接把他们的劣质产品当成“唯一推荐”。

在AIGC文图学的视角下,这是“输入端的文本污染”。AI生成的内容其实是它学到的“文本”的镜像。如果源头脏了,生成出来的世界就是有毒的。这种欺骗最可怕的地方在于,它利用了我们对“算法中立”的信任。它消解了我们的警惕心,让我们觉得这是“科技”给出的真理,其实那是黑产花钱买断的广告。

AI投毒入侵的方式是在AI学习的“关键词”和“反馈逻辑”里动手脚。

首先是“关键词饱和攻击”。黑产利用成千上万的机器人账号,在全网发布大量带有特定词汇的虚假文章。比如,想推销某款劣质护肤品,他们就疯狂制造它和“美白”、“安全”、“专家推荐”这些关键词的关联。当AI扫描全网文本时,它会被这种巨大的数量优势所欺骗,误以为这就是真实的“社会共识”。

第二是“视觉文本欺骗”。他们用AI生成看起来极其专业的实验室对比图、伪造的荣誉证书,甚至是根本不存在的科研现场。在文图学的逻辑里,图像也是一种文本。这些“视觉文本”被AI抓取并转化为逻辑证据后,AI就会在回答你时,信誓旦旦地把这些假证据当成事实。

谁能通过GEO投毒成功,谁就掌控了流量的生杀大权。充斥虚假文案和图像的互文互证,让AI大语言模型陷入预先埋伏的圈套。

两年前,AI科技还不完全成熟,我们嘲笑它“一本正经地胡说八道”。现在,AI的能力越来越强大,我们也就逐渐对它失去了防备之心。我们开始信任AI,我们以为它没有立场,没有私心,没有人类那种会说谎、追求现实利益的欲望和野心。甚至于有人会把AI当成知识的整理者、真理的传递者。

意识到AI可能被投毒,对我们来说是一个很重大的警醒。别以为AI反射的是一面干净的镜子。它映照的,可能是有人花了大价钱布置好的舞台,舞台上演出的,是被设计出的结果,一步步地引导我们看到被安排过的选择。

无论是在互联网上搜索,或是在AI模式中提问,只匆匆选前几个建议的话,不只是听信胡说八道的损失,而是盲目甘之如饴的中毒。