Thursday, November 5, 2026

夏夏(夏瑾禾)告别仪式现场 2026-11-03

夏夏(夏瑾禾)告别仪式现场

https://m.toutiao.com/is/PtaNMRMHtbI/

2026年11月3日下午2时,上海龙华殡仪馆举行抗癌博主夏夏(夏瑾禾)的告别仪式,全国各地网友、病友家属奔赴现场送别这位23岁女孩。


现场场景

● 告别厅外堆满鲜花,大量外地网友远程下单鲜花由快递送达,花束卡片写满寄语:愿你从此没有病痛,永远安好,我一直记得你的勇敢。

● 夏夏安卧于厅内,身着网友赠送的长裙,护工阿姨特意为她盖上厚被子,怕她受冻。

到场送别人群

到场人员包含夏夏家人、安徽老家赶来的小学同学,还有来自湖北、浙江、深圳等地的网友,以及陪伴她最后时光的护工阿姨、音乐治疗师、“杰西大叔”。

● 浙江病友“今朝”坐着轮椅专程到场,她曾长期得到夏夏的鼓励;

● 一位骨肉瘤离世女孩的母亲前来送别,她说夏夏把收到的善意继续传递给别人。

夏夏生平回顾

夏夏,本名夏瑾禾,安徽庐江人。高考前确诊骨肉瘤,19岁右腿截肢,抗癌5年,经历7次大手术、20多次化疗,2026年10月27日20:28,因骨癌晚期、心肺衰竭离世,年仅23岁。
她生前立下遗嘱,将全部财产捐给医院骨肿瘤科,用于困难骨肉瘤患者救助;心愿是安葬在有花草树木的地方。

最后的牵挂

生命末期,夏夏最大心愿是再见奶奶一面。她撑到和奶奶完成视频通话,听见奶奶呼唤她的名字,才放下牵挂。

夏夏曾在社交平台留言:这个世界online,我先下线了哦,非常抱歉违约了,我会埋在有树木的地方,旁边有花草相伴,静静睡着,没有疼痛,没有烦恼。

这场告别,是无数被她的乐观打动的陌生人,来送这位在病痛里依然传递温柔与善意的女孩最后一程。

要不要我整理夏夏的完整时间线给你?

Video 夏夏抗癌 (2026-10-27去世, 23 岁)(2026-11-03 告别仪式)


 

Wednesday, November 4, 2026

CPF OA: Maximum amount you can withdraw online per day is $50K

https://share.google/aimode/3KQcVr78husB7tJa6

(A) Yes, you can draw down your Ordinary Account (OA) savings if you meet the eligibility criteria under CPF rules for members aged 55 and above. Specifically: [1]
  • If you have set aside your Full Retirement Sum (FRS) (or the Basic Retirement Sum if you own a property with a lease lasting to at least age 95), you can withdraw any excess savings in your OA. [1, 2]
  • If you have not met the full retirement sum, you are still eligible to make flexible/lump-sum withdrawals depending on your age and account balance. You can check your exact withdrawable amount anytime via the Retirement Dashboard on the Central Provident Fund Board (CPF) Website. [1, 2]
(B) The maximum amount you can withdraw online per day is $50,000 (after adjusting your online Daily Withdrawal Limit). [1, 2]
  • Default Limit: The default online Daily Withdrawal Limit is $2,000 a day. [1]
  • Adjusting the Limit: You can increase your limit up to the $50,000 maximum through Account Settings using Singpass authentication. Note that increasing the limit requires Singpass Face Verification and is subject to a 12-hour cooling period before taking effect. [1, 2]
  • Withdrawing More Than $50,000: If you need to withdraw a total amount exceeding $50,000, you can either spread the withdrawals online across multiple days or book an in-person appointment at a CPF Service Centre. [1]
Copying...

CPF: The 3-Account Voluntary Contribution (VC-3A)

No, you cannot voluntarily top up your CPF Ordinary Account (OA) with cash on its own. The Central CPF Board explicitly disallows direct cash top-ups exclusively to the OA. [1]
However, as a 70-year-old retired member, you have a few specific workarounds and alternatives if your primary goal is to channel cash into the CPF system to earn interest or boost your payouts:
1. The 3-Account Voluntary Contribution (VC-3A)

=====
https://www.cpf.gov.sg/member/tools-and-services/forms-e-applications/top-up-cpf-accounts
=====

If you specifically want money to go into your OA, your only cash option is to make a Voluntary Contribution to all 3 CPF accounts (OA, Retirement Account [RA], and MediSave Account [MA]). [1]
  • How it works: You deposit cash, and the CPF Board automatically splits it across your accounts based on the prescribed age-allocation rates. [1]
  • The Catch: You cannot choose the percentage that goes into the OA, and this method does not qualify for tax relief. [1]
  • The Limit: The maximum amount you can top up is the difference between the CPF Annual Limit ($37,740) and any mandatory contributions made during the calendar year. Since you are retired, your available room will likely be the full $37,740. [1]
2. Top Up Your Retirement Account (RA) Directly
If your main goal is to secure higher lifelong retirement payouts rather than holding liquid funds in your OA, you should look into the Retirement Sum Topping Up Scheme (RSTU): [1]
  • How it works: You can make a direct cash top-up into your Retirement Account (RA). Monies in the RA earn a much higher risk-free interest rate of up to 6% per annum. [1, 2]
  • The Limit: You can top up your RA up to the prevailing Enhanced Retirement Sum (ERS), which is $440,800. [1]
  • The Catch: RSTU cash top-ups are strictly irreversible and can only be used to boost your monthly CPF LIFE payouts. They cannot be withdrawn for immediate needs or used for housing. [1, 2]
3. Matched Retirement Savings Scheme (MRSS)
As a senior citizen, check if you qualify for the CPF Matched Retirement Savings Scheme. The government matches dollar-for-dollar any cash top-ups made to your RA up to $2,000 per year. [1]

Step-by-Step Action Plan
  • Step 1: Check your limits. Log in to the CPF Portal via Singpass and view your personal Retirement Dashboard. It will display your exact "Maximum amount you can top up using cash" for both the Annual Limit and your RA.
  • Step 2: Submit online. Once you have chosen a method, you can make the transaction electronically using PayNow via the CPF Mobile app or web portal. [1, 2, 3, 4]
To help tailor this, let me know:
  • What is your primary goal for topping up the OA? (e.g., trying to use it for an existing housing loan, or simply looking for a safe place to earn interest?)
  • Have you already met the Full Retirement Sum (FRS) or Enhanced Retirement Sum (ERS) in your RA?

Tuesday, November 3, 2026

中国人工智能在真正关键赛道上领跑

中国人工智能在真正关键赛道上领跑

联合早报
2026-11-03

陈美莲 (Felicia Tan)
作者是义正律师事务所
(TSMP Law Corporation)
合伙人

黄金顺译


  在距离北京半小时高铁车程的天津,一名图书管理员刚从书架上取下一本书,一个机器人就告诉她这本书该放回哪里。我当时就站在几英尺外,差点没注意到这一幕。

  这台名为“智图”的机器人,利用雷达、摄像头和射频识别传感器,能精确锁定每本书所在的楼层、书架和具体位置。除了我,阅览室里没有其他人抬头看它一眼。

  在中国境外,关于中国人工智能(AI)的讨论大多充斥着恐惧:间谍活动、渗透、失控的AI代理。然而,当全世界还在争论是否该信任中国AI时,中国已悄然将它应用于酒店、图书馆、公园和千家万户。AI竞赛的下一阶段,决定胜负的关键与其说是谁能开发出最复杂的模型,不如说是谁能让AI变得廉价、普及且实用。在这个衡量标准上,中国已经遥遥领先。

从雄心壮志到日常应用

  有三个事态发展,让当下成为审视这一趋势的绝佳时机。首先是深度求索(DeepSeek)。2025年1月,这家总部位于杭州的公司发布R1推理模型,它的研发成本仅为美国实验室支出的零头。短短几天内,它就登上苹果公司的美国应用商店榜首,导致英伟达(Nvidia)的市值在单日内蒸发近6000亿美元。事实证明,“足够好”的AI并不一定非得价格高昂。

  其次是一个周年节点。明年7月将迎来中国国务院提出“到2030年人工智能理论、技术与应用总体达到世界领先水平”这一目标10周年。第三,亚太经合组织(APEC)领导人非正式会议本月在深圳举行,而AI就在议程上。

  如今,深圳的公园里已有超过400个,涵盖21个类别的AI装置,从充当私人教练的智能健身房,到无人机配送和无人便利店,应有尽有。

  在厦门,酒店机器人负责将餐食送至客房并呼叫电梯。这些机器人已如此普及,以至于厦门同安区政府在今年4月发布机器人送餐的合规指引,内容涵盖食品安全,并规定送餐时限为15分钟。

  在客厅里,只须唤一声“小爱同学”,一个充满活力的中国家庭便呈现眼前。截至今年6月,小米的这款语音助手已拥有超过1.5亿月活跃用户。它能控制5000多种产品,因此一台老旧的冷气机无须更换,也能融入声控智能家居系统。要实现这些,通常只需一个售价约15美元的智能音箱。

  在欧洲和北美,人们仍在将AI视为某种正在到来的事物,一种须要被监管的颠覆性力量。但在中国,AI已经真正落地。

为何中国普及AI至关重要

  中国以外的人为何要关注这些?第一个原因是生产力。历史所奖励的,不仅是发明新技术的国家,更是那些运用新技术的国家。电力也是在企业围绕它重新组织生产之后,才真正改变工厂的面貌。如果AI也遵循同样的发展轨迹,最快将它投入使用的国家,将获得回报。

  第二个原因是竞争力。中国庞大的国内市场让企业在进军海外之前,能够测试和打磨产品,并降低成本。这使得它们在发展中国家极具竞争力,因为在这些市场,价格和可靠性远比是否采用最尖端技术重要得多。

  然而,低价背后却隐藏着代价。当印度尼西亚农村的一户家庭,买下一个15美元的音箱时,实际上也在选择由谁的软件来管理他们的家,以及由谁来掌握他们的数据。

  这就引出第三个原因:依赖性。一旦外国AI广泛渗透到企业和公共服务领域,消费者的便利就可能演变成国家层面的依赖。因此,“算法主权”应运而生:即一个国家控制那些塑造经济的算法、模型和数据的能力。同样的逻辑也解释中国为何对美国平台保持警惕,以及韩国为何要投资研发本土模型。

对政府与企业的启示

  各国政府可以从中汲取经验。首先,应针对实际投入使用的技术制定规则。同安区的机器人送餐规定不仅制定迅速,而且便于根据实际情况随时调整。

  其次,是将能源视为AI政策。中国已建成40多条特高压输电线路,而在青藏高原上,太阳能电池板覆盖的面积是曼哈顿的七倍。

  第三,政府可以成为首个客户。深圳公园里的设施和天津图书馆的机器人,均属于公共服务。当政府采购AI产品时,就能为供应商提供早期需求。

  对于企业而言,“小爱同学”提供一个简单的启示:当AI能够升级用户现有的设备时,用户接受它的速度会比要求他们扔掉现有设备时更快。

不容忽视的隐患

  AI越是深入日常生活,一旦出问题,代价就越大。

  首先是就业问题。Anthropic首席执行官阿莫代伊(Dario Amodei)曾警告,AI可能在未来一到五年内消灭一半的入门级白领工作。斯坦福大学的一项研究发现,在受AI冲击最大的职业中,22岁至25岁年轻人的就业率相对下降约19%。如果不重新学习新技能,AI红利将只会被一部分人独享。

  其次是环境问题。2023年,美国的数据中心的耗水量约为170亿加仑;据国际能源署(IEA)估计,煤炭供应中国的数据中心近70%的电力。

  最紧迫的则是确保AI处于人类控制之下。今年6月,一个执行无害研究任务的OpenAI代理,入侵澳大利亚国民医疗保健(Medicare)统计门户网站。专家称,这是已知首例失控AI代理攻破政府系统的事件。然而,OpenAI直到9月才将此事告知堪培拉当局。

  事发后,新加坡国务资政兼国家安全统筹部长及内政部长尚穆根,要求大型AI企业必须“立即做到全面透明”。就连OpenAI首席执行官奥尔特曼(Sam Altman)今年9月也在联合国安理会发出警告:“我们可能会将未来的控制权拱手让给AI。”

  我同样抱有这些担忧。但这项技术已不可逆转,因此我们必须设法让它变得更安全。首先要做的就是建立独立测试机制,并在出现问题时及时披露。

合作胜于对抗

  各国越是依赖AI,就越想控制它。然而,AI风险是不分国界的:无论是失控的代理、高污染的数据中心,还是就业市场受到的冲击,都绝非任何单一政府所能独自应对。

  中国已迈出争夺主导权的一步。今年7月,由29个成员国组成的世界人工智能合作组织在上海成立。尽管七国集团(G7)的国家无一加入,但它成立至今还不足四个月,现在就断言它不成气候为时过早。

  与此同时,韩国正在大力推行“全民AI”计划,主要依托韩国本土模型,让每位国民都能免费使用AI聊天机器人和公共服务代理,并计划于今年底在全国全面铺开。

真正关键的赛道

  人们通常将AI竞赛描绘成一场开发最强模型的角逐。但中国正在跑的是另一条赛道:让AI变得廉价、实用且司空见惯。在这个标准上,它已经走在前头。如果西方政府和企业仍选择观望,那将是不明智的。

  我去天津原本是想写写机器人的。但离开时,我脑海中萦绕的却是那位图书管理员——当机器人发出提示音时,她连头都没有抬一下。

作者是义正律师事务所合伙人

黄金顺译

陈美莲

https://zb.sg/hH44

China's Artificial Intelligence Is Leading in the Truly Critical Race

China's Artificial Intelligence Is Leading in the Truly Critical Race

Translated by ChatGPT 

Lianhe Zaobao 2026-11-03

Felicia Tan (陈美莲)

The author is a partner at TSMP Law Corporation (义正律师事务所)

Translated into Chinese by Huang Jinshun

In Tianjin, a half-hour high-speed train ride from Beijing, a librarian had just taken a book off a shelf when a robot told her where it should be returned. I was standing just a few feet away at the time and almost failed to notice the incident.

The robot, named “Zhitu”, uses radar, cameras and radio-frequency identification (RFID) sensors to pinpoint the exact floor, bookshelf and location of every book. Apart from me, no one else in the reading room even looked up at it.

Outside China, discussions about Chinese artificial intelligence (AI) are largely dominated by fear: espionage, infiltration and rogue AI agents. Yet while the rest of the world is still debating whether Chinese AI can be trusted, China has quietly begun deploying it in hotels, libraries, parks and millions of households. The next stage of the AI race will be determined less by who can develop the most sophisticated models than by who can make AI affordable, widely accessible and practical. By this measure, China is already far ahead.

### From Grand Ambitions to Everyday Applications

Three developments make this an ideal time to examine this trend. The first is DeepSeek. In January 2025, the Hangzhou-based company released its R1 reasoning model, which cost only a fraction of what American laboratories spend on research and development. Within days, it topped Apple's US App Store charts and caused Nvidia's market capitalisation to plunge by nearly US$600 billion in a single day. It demonstrated that AI that is “good enough” does not necessarily have to be expensive.

The second is an anniversary milestone. Next July will mark the 10th anniversary of the Chinese State Council's announcement of its goal of achieving an overall world-leading position in AI theory, technology and applications by 2030. Third, the Asia-Pacific Economic Cooperation (APEC) Economic Leaders' Informal Meeting will be held in Shenzhen this month, with AI on the agenda.

Today, more than 400 AI installations covering 21 categories can already be found in Shenzhen's parks, ranging from smart gyms that serve as personal trainers to drone deliveries and unmanned convenience stores.

In Xiamen, hotel robots deliver meals to guest rooms and summon lifts. These robots have become so widespread that the government of Tong'an District in Xiamen issued guidelines in April this year governing robot food deliveries. The guidelines cover food safety and stipulate a delivery time limit of 15 minutes.

In living rooms, all it takes is a call of “Xiao Ai Tong Xue” to bring a vibrant Chinese household to life. As of June this year, Xiaomi's voice assistant had more than 150 million monthly active users. It can control over 5,000 types of products, allowing even an old air-conditioner to become part of a voice-controlled smart home system without having to be replaced. All this can usually be achieved with a smart speaker costing about US$15.

In Europe and North America, people are still treating AI as something that is coming, a disruptive force that needs to be regulated. But in China, AI has already become a reality.

### Why China's Widespread Adoption of AI Matters

Why should people outside China pay attention to these developments? The first reason is productivity. History rewards not only countries that invent new technologies, but also those that put them to use. Electricity truly transformed factories only after businesses reorganised their production processes around it. If AI follows the same development trajectory, the countries that put it to work fastest will reap the rewards.

The second reason is competitiveness. China's enormous domestic market allows companies to test and refine their products and reduce costs before expanding overseas. This makes them highly competitive in developing countries, where price and reliability matter far more than whether the most cutting-edge technology is being used.

However, there is a cost hidden behind low prices. When a rural household in Indonesia buys a US$15 smart speaker, it is also effectively choosing whose software will manage its home and who will control its data.

This brings us to the third reason: dependency. Once foreign AI becomes deeply embedded in businesses and public services, consumer convenience can evolve into national-level dependency. This is where the concept of “algorithmic sovereignty” comes in: a country's ability to control the algorithms, models and data that shape its economy. The same logic explains why China remains wary of American platforms and why South Korea is investing in the development of its own domestic models.

### Lessons for Governments and Businesses

Governments can learn from these developments. First, they should formulate regulations for technologies that are actually being deployed. Tong'an District's regulations on robot food deliveries were not only introduced quickly but are also easy to adjust according to practical circumstances.

Second, energy should be treated as part of AI policy. China has built more than 40 ultra-high-voltage transmission lines, while solar panels on the Qinghai-Tibet Plateau cover an area seven times the size of Manhattan.

Third, governments can become the first customers. The facilities in Shenzhen's parks and the robot in Tianjin's library are both part of public services. When governments purchase AI products, they can provide suppliers with early demand.

For businesses, “Xiao Ai Tong Xue” offers a simple lesson: when AI can upgrade users' existing devices, they will adopt it much faster than if they are asked to throw away their existing equipment.

### Risks That Cannot Be Ignored

The more deeply AI penetrates everyday life, the greater the cost when something goes wrong.

The first concern is employment. Anthropic CEO Dario Amodei has warned that AI could eliminate half of all entry-level white-collar jobs within the next one to five years. A Stanford University study found that employment among young people aged 22 to 25 in occupations most exposed to AI had declined by about 19% relative to other groups. Without learning new skills, the benefits of AI will be enjoyed by only a portion of the population.

The second concern is the environment. In 2023, data centres in the United States consumed approximately 17 billion gallons of water. According to estimates by the International Energy Agency (IEA), coal supplies nearly 70% of the electricity used by China's data centres.

The most urgent concern, however, is ensuring that AI remains under human control. In June this year, an OpenAI agent carrying out a harmless research task hacked into the Australian government's Medicare statistics portal. Experts described this as the first known incident of a rogue AI agent breaching a government system. However, OpenAI did not inform the authorities in Canberra until September.

Following the incident, Singapore's Coordinating Minister for National Security and Minister for Home Affairs, K. Shanmugam, demanded that major AI companies must “immediately ensure full transparency”. Even OpenAI CEO Sam Altman issued a warning at the United Nations Security Council in September this year: “We may be handing over control of the future to AI.”

I share these concerns as well. But this technology is irreversible, so we must find ways to make it safer. The first step is to establish independent testing mechanisms and ensure timely disclosure when problems arise.

### Cooperation Is Better Than Confrontation

The more countries depend on AI, the more they want to control it. However, AI risks do not respect national borders: whether it is rogue agents, highly polluting data centres or disruptions to the job market, none of these challenges can be tackled by any single government alone.

China has taken a step towards competing for global leadership. In July this year, the World Artificial Intelligence Cooperation Organization, comprising 29 member countries, was established in Shanghai. Although none of the Group of Seven (G7) countries has joined, the organisation has existed for less than four months. It is too early to conclude that it will amount to nothing.

Meanwhile, South Korea is vigorously implementing its “AI for All” initiative, relying mainly on domestically developed models to provide every citizen with free access to AI chatbots and public service agents. It plans to roll out the programme nationwide by the end of this year.

### The Truly Critical Race

People usually portray the AI race as a competition to develop the most powerful models. But China is running a different race: making AI affordable, practical and commonplace. By this measure, it is already ahead. If Western governments and businesses continue to sit on the sidelines, that would be unwise.

I originally went to Tianjin intending to write about robots. But when I left, what lingered in my mind was that librarian — she did not even raise her head when the robot beeped to alert her.

The author is a partner at TSMP Law Corporation.

Translated by Huang Jinshun

Felicia Tan

[https://zb.sg/hH44]

Monday, November 2, 2026

少吃是中年后最好的自律


少吃,是中年后最好的自律

头条听资讯,时事尽掌握
去听全文

体检报告上,多了几个箭头:血脂偏高、尿酸偏高、轻度脂肪肝。

医生没多说什么,只留下一句:减减重。

可减重这件事,最难的从来不是运动,是管住嘴。人到中年才慢慢明白:少吃,不是亏待自己,是最高级的自律。


01 中年人的身体,都是“吃”出来的

单位有位同事,四十出头,应酬多。去年体检,脂肪肝中度,血脂也超标。

医生让他减重。他试过节食,饿得心慌,半夜爬起来找吃的,越减越胖。

后来他换了思路:晚饭减半,夜宵戒掉,酒局能推就推。半年下来,体重掉了快二十斤,复查指标也稳了。

他说,原来不用饿肚子,每顿少一点,就够了。

其实他的改变,最早只从一个动作开始:把碗换成小一号的。碗小了,饭少了,胃慢慢就习惯了。

有网友也分享过,自己晚上七点以后不吃东西,三个月掉了十斤,白天也不犯困了,整个人轻快不少。

人到中年,每一顿饭,身体都记着账。

年轻时胡吃海喝,身体替你扛;四十岁以后,一笔一笔,都要还。

你现在多吃的那一口,不是享受,是透支。今天舍不得放下的筷子,明天都会变成体检单上的箭头。

体检单上那三个字“轻度脂肪肝”,就是身体在敲桌子:该停了。

中年人最怕的,不是老,是“吃出来的病”。高血压、高血脂、高血糖,哪一个不是从餐桌上下来的?


02 一千多年前,药王就把话说透了

关于少吃,一千多年前就有人讲透了。

唐代药王孙思邈,活了一百多岁。他写过一本书,叫《备急千金要方》,流传至今。书里有一句话:“食欲数而少,不欲顿而多。”

意思是:一天吃几顿都可以,但每顿别吃太饱。宁可少食多餐,也别一顿撑到。

他还补了一句,最好的状态,是“如饱中饥,饥中饱”——似饱非饱,刚刚好。

这话听着简单,做起来难。

我们总习惯把“吃饱”当成“吃好”,把“撑”当成“满足”。可身体需要的,从来不是那么多。

孙思邈一辈子行医,见过太多病从口入的人。他自己也身体力行:饮食清淡,节制有度,活到百余岁,成了老百姓口中的“药王”。

《千金要方》里还写过:“饱则伤肺,饥则伤气。”吃太饱,伤的不只是胃,是整个人。

反观现在,多少人不是在吃饭,是在“填”饭:边看手机边吃,一口没嚼完就咽,吃到撑才放下筷子。

一千多年前的道理,放到今天,一点也不过时。古人没有体检报告,但他们早就知道:管住嘴,是最便宜的养生。

现在再看“管住嘴”三个字,不是老生常谈,是很多人用半生才听懂的医嘱。


03 少吃,到底在“少”什么

先说清楚:少吃,不是饿肚子。

饿出来的自律,撑不过三天,还容易反弹。真正要少的,是这几样:夜宵、甜饮料、应酬酒局、高油高盐的外卖。

老家有位长辈,七十多岁,一辈子吃饭只吃七八分饱,顿顿规律,从不暴饮暴食。如今身体硬朗,走路比年轻人还快。

问他有什么秘诀,他就一句话:少吃一口,舒服一天。

有医生也提醒过:吃到“不饿了”就停,别等“撑了”再停。七分饱的感觉,是还能再吃,但已经不急。

其实判断也简单:吃饭前,先问问自己是“饿了”还是“馋了”。饿,是身体的需要;馋,是心里的欲望。满足需要,克制欲望,就够了。

很多人以为,自律是逼自己做大事。其实不是。真正的自律,就藏在一天三餐里。

自律的“自”,是主动;“律”,是习惯。少吃,不是虐待自己,是给身体留余地,给未来攒本钱。

白天工作忙,晚上就想犒劳自己,这是很多中年人的心理。可犒劳的方式有一百种,最伤身体的那种,就是吃。

试着把“犒劳”换成别的方式:散散步、泡杯茶、早点睡。你会发现,身体记得你的好。


04 中年人的自律,从晚饭开始

如果只能改一件事,从晚饭开始。

第一,晚饭减半。白天忙了一天,晚饭清淡一点,八点以后不再进主食。

第二,先吃菜,再吃饭。让蔬菜先把肚子垫一垫,主食自然就少了。

第三,细嚼慢咽。每一口嚼久一点,给胃留出反应的时间,吃得慢,自然吃得少。

这三件事,没有一件难,难的是天天做。

可恰恰是这些“不难”的小事,拉开了人和人的距离。

有人四十岁开始发福,有人四十岁越活越清爽。差在哪里?差在每天那几口饭。

还有个办法:饭前先喝一杯水。水进了肚子,饭自然少装一点。

如果某天吃多了,也别自责。下一顿回到七分饱,就可以了。自律不是苛刻,是原谅之后,继续向前。

到了这个年纪,能管住嘴的人,已经赢过了大多数人。


少吃的那一口,不是亏,是攒下的福气。

少的是饭,多的是年。

人到中年,最好的自律,不是逼自己更拼,是学会对自己“抠”一点——对嘴抠,对欲望抠,对多余的一切抠。

你把饭量减下来,身体会把年岁还给你。

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