I Tried Five AI Assistants. Here's Why I Keep Coming Back to ChatGPT.

 

Artificial intelligence is moving so fast that it's almost impossible to keep up.

Like many AI enthusiasts, I don't limit myself to just one AI assistant. Over the past months, I've been using ChatGPT, DeepSeek, Claude, Gemini, and Grok. Each of them has its own strengths, personality, and way of answering questions.

People often ask me, "Which one is the best?"

My answer is simple.

There isn't a single AI that's best at everything.

DeepSeek impressed me with its reasoning and technical capabilities. Claude often writes in a thoughtful and natural style. Gemini integrates well with Google's ecosystem. Grok brings a different personality and keeps improving rapidly.

They are all excellent tools.

Yet, after trying them all, I find myself opening ChatGPT again and again.

Why?

Because it feels less like using a search engine and more like having an AI companion who understands the context of our ongoing conversations.

Whether I'm writing articles for AI123.ca, translating posts into Chinese, brainstorming new ideas, troubleshooting computer problems, analyzing website traffic, or even recording memories for my Grandpa Journey memoir, ChatGPT has become part of my daily routine.

What I appreciate most isn't just the answers.

It's the collaboration.

Sometimes I begin with only a rough idea. Through our conversation, that idea gradually becomes a complete article. Other times I'm puzzled by a technical issue, and together we work through it step by step until it's solved.

That's a very different experience from simply asking a question and getting a one-time answer.

Of course, I still use the other AI assistants.

Each one teaches me something new, and comparing their responses helps me understand how AI is evolving. As someone who writes about artificial intelligence, I believe it's important to stay curious and keep experimenting.

Technology changes quickly.

Today's leader may not be tomorrow's leader.

That's why I continue exploring every major AI platform with an open mind.

But if someone asked me which AI I personally use the most today, my answer would be easy.

ChatGPT.

Not because it's perfect.

But because it has become the AI companion that best fits the way I learn, write, and create.

Perhaps that's the biggest lesson I've learned after trying five different AI assistants.

The best AI isn't necessarily the one with the most features.

It's the one that helps you do your best work.

And that's a choice each of us can make for ourselves.

Have you tried more than one AI assistant? Which one do you use the most, and why? I'd love to hear about your experience in the comments.

Hashtags

#ArtificialIntelligence #AI #ChatGPT #ClaudeAI #GeminiAI #DeepSeek #Grok #AITools #GenerativeAI #Productivity #TechBlog #AI123 #DigitalTransformation #FutureOfAI #AICompanion

我体验了五款 AI 助手，为什么最后还是最常使用 ChatGPT？

人工智能的发展速度实在太快了。

和许多 AI 爱好者一样，我并没有只使用一种 AI 助手。过去几个月，我陆续体验了 ChatGPT、DeepSeek（深度求索）、Claude、Gemini 和 Grok。它们各有特色，也都有自己的优势和风格。

不少朋友都会问我：

「哪一款 AI 最好用？」

我的答案其实很简单。

没有任何一款 AI 能在所有方面都是第一。

DeepSeek 的推理能力和技术表现让我印象深刻；Claude 的文字表达自然流畅；Gemini 与 Google 生态整合得很好；Grok 则拥有独特的风格，而且进步得非常快。

它们都是非常优秀的 AI 工具。

不过，在实际使用之后，我发现自己每天打开最多的，还是 ChatGPT。

为什么呢？

因为它给我的感觉，不只是一个回答问题的工具，更像是一位能够理解上下文、陪伴我一起思考的 AI 伙伴。

无论是为 AI123.ca 撰写文章、把内容翻译成中文、构思新的题材、解决电脑技术问题、分析网站流量，甚至整理我的 《Grandpa Journey》 回忆录，ChatGPT 都已经成为我每天生活的一部分。

我最欣赏的，并不仅仅是它提供答案。

而是它能够与我一起合作。

很多时候，我脑海里只有一个简单的想法。经过一来一往的交流，它慢慢变成了一篇完整的文章。

有时我遇到电脑或网站上的技术难题，我们也会一步一步地分析，直到找到解决方法。

这种感觉，与单纯提出问题、获得一次性答案，非常不同。

当然，我仍然会继续使用其他 AI 助手。

每一种 AI 都让我学到新的东西。把它们的回答互相比较，也让我更了解人工智能的发展方向。

作为一位长期分享 AI 资讯的博主，我认为持续学习、持续尝试，是非常重要的。

科技每天都在进步。

今天的领先者，未必永远都是第一。

因此，我会继续保持开放的心态，体验每一款优秀的 AI 工具。

但如果今天有人问我：

「你最常使用的是哪一款 AI？」

我的答案依然是：

ChatGPT。

不是因为它十全十美。

而是因为它最符合我的学习方式、写作习惯，以及每天创作内容的需要。

也许，这就是我体验五款 AI 助手之后，最大的心得。

最好的 AI，不一定是功能最多的。

真正适合你的 AI，才是最好的 AI。

那么，你呢？

你是否也体验过不同的 AI 助手？你最喜欢哪一款？欢迎在留言区分享你的看法，让我们一起交流、一起学习。

AI Era Digital Safety: My Experience Fighting Fake Security Pop-Ups on My Dell Laptop

 In today’s digital world, computers have become an essential part of our daily lives. I use my Dell laptop for many important activities: writing my AI blog AI123.ca, researching artificial intelligence trends, managing my online projects, and staying connected with family and friends.

Recently, I experienced a small but important cybersecurity lesson.

The Sudden Appearance of Many Security Pop-Ups

One day, my Dell laptop suddenly started showing many pop-up messages advising me to install “anti…” security software. The messages appeared urgent and suggested that I needed immediate action.

At first glance, these warnings looked convincing. However, I remembered an important rule:

Do not immediately click on unexpected security warnings.

Many fake security alerts are designed to create fear and pressure users into installing unwanted programs or paying for unnecessary services.

My First Step: Stay Calm and Do Not Click

Instead of clicking the pop-ups, I stopped and investigated.

I did not:

• Install any unknown antivirus software

• Enter payment information

• Follow suspicious instructions

This simple decision prevented the situation from becoming worse.

Finding the Real Cause: Microsoft Edge Notifications

I checked my Microsoft Edge browser settings and discovered that some websites had permission to send notifications.

I removed the unfamiliar notification permissions.

After making this change, the annoying pop-ups disappeared.

This showed me that the problem was most likely not a computer virus, but a browser notification issue.

Checking Installed Applications

To be extra careful, I also reviewed the applications installed on my laptop.

I looked for:

• Recently installed programs

• Strange names

• Applications I did not recognize

Fortunately, I did not find any suspicious new software.

A Simple Security Checklist for Everyone

My experience reminded me that basic digital habits are extremely important.

Here are some simple tips:

1. Be Careful With Urgent Messages

If a message says:

• “Your computer is infected!”

• “Install immediately!”

• “Your security is at risk!”

• “Call support now!”

Take a moment before reacting.

Real security protection usually does not work through frightening browser pop-ups.

2. Review Browser Permissions Regularly

Modern browsers allow websites to send notifications. This feature is useful, but it can also be abused.

Occasionally check:

• Notification permissions

• Browser extensions

• Installed applications

3. Use Built-In Security Tools

Windows computers already include Microsoft Defender.

Users should regularly:

• Install Windows updates

• Run security scans

• Keep their browsers updated

AI and Digital Literacy Go Hand in Hand

As artificial intelligence becomes more powerful, digital literacy becomes even more important.

AI can help us:

• Create content

• Research information

• Improve productivity

But technology also brings new challenges, including scams, misinformation, and cyber threats.

The solution is not to fear technology.

The solution is to become smarter users.

My Personal Reflection

This small incident reminded me that learning never stops.

Even as a retired grandfather exploring AI, blogging, and digital creation, I continue to learn new skills every day.

Technology changes quickly. The best protection is curiosity, patience, and good digital habits.

In the AI era, staying safe online is part of staying connected with the future.

---

AI Digest 123 (AI123.ca)
Exploring artificial intelligence, technology, and life experiences in the digital age.

Hashtags

#AI123
#ArtificialIntelligence
#AISafety
#CyberSecurity
#DigitalSafety
#OnlineSafety
#TechTips
#ComputerSecurity
#WindowsSecurity
#MicrosoftEdge
#DigitalLiteracy

AI时代的数字安全：我在戴尔笔记本电脑上遇到假安全弹窗的经历

在今天的数字时代，电脑已经成为我们生活中不可缺少的一部分。

我每天使用我的戴尔笔记本电脑进行许多重要工作，包括撰写 AI123.ca 人工智能文摘、研究人工智能发展趋势、管理我的网络项目，以及与家人朋友保持联系。

最近，我经历了一次小小但非常有意义的网络安全学习经历。

突然出现大量安全提示弹窗

有一天，我的戴尔电脑突然出现许多弹窗，建议我安装某种“防护”或“反病毒”软件。

这些信息看起来非常紧急，好像我的电脑马上就会出现严重问题。

乍看之下，这些警告很真实。但是，我想起一个重要原则：

不要轻易点击陌生的安全警告。

很多假的安全提示利用人的恐惧心理，诱导用户安装不需要的软件，甚至要求付款购买所谓的保护服务。

第一步：保持冷静，不要点击

面对这些弹窗，我没有立即采取行动，而是先进行检查。

我没有：

• 安装任何陌生的杀毒软件

• 输入任何付款资料

• 按照弹窗指示进行操作

这个简单的决定，避免了问题进一步扩大。

找到真正原因：Microsoft Edge 浏览器通知

随后，我检查了 Microsoft Edge 浏览器的设置。

我发现一些网站曾经获得发送通知的权限。

于是，我删除了不认识的网站通知权限。

完成这个操作后，烦人的弹窗立即消失了。

这说明问题很可能不是电脑感染病毒，而是浏览器通知功能被某些网站利用。

检查电脑安装的软件

为了更加安心，我进一步检查电脑上的应用程序。

我特别查看：

• 最近安装的软件

• 名称奇怪的程序

• 我不认识的应用

幸运的是，我没有发现任何可疑的新软件。

每个人都应该掌握的简单网络安全技巧

这次经历提醒我，基本的数字安全习惯非常重要。

1. 小心制造恐慌的信息

如果看到类似：

• “你的电脑已经感染病毒！”

• “必须立即安装！”

• “你的安全受到威胁！”

• “马上联系客服！”

请先停下来思考。

真正的电脑安全保护，通常不会通过突然出现的浏览器弹窗来恐吓用户。

2. 定期检查浏览器权限

现代浏览器允许网站发送通知。

这个功能本来很方便，例如接收重要更新。

但是，如果给予陌生网站权限，也可能带来骚扰。

建议定期检查：

• 网站通知权限

• 浏览器扩展程序

• 已安装的软件

3. 使用电脑自带的安全工具

Windows 系统已经内置 Microsoft Defender 安全保护。

用户应该：

• 保持 Windows 更新

• 定期运行安全扫描

• 更新浏览器版本

AI时代，数字素养同样重要

随着人工智能越来越强大，数字素养变得更加重要。

人工智能可以帮助我们：

• 创作内容

• 搜索资料

• 提高工作效率

但是，科技发展也带来了新的挑战，包括网络诈骗、虚假信息和网络安全问题。

我们不应该害怕科技。

我们应该成为更聪明、更有判断力的科技使用者。

我的个人体会

这次小事件再次提醒我：

学习永远不会停止。

即使作为一位退休爷爷，我仍然每天学习人工智能、写博客、探索数字世界。

科技变化非常快速。

保护自己的最好方法，就是保持好奇心、耐心，以及良好的数字习惯。

在 AI 时代，安全地使用科技，也是拥抱未来的一部分。

---

AI Digest 123（AI123.ca）
探索人工智能、科技发展，以及数字时代的人生体验。

The Hidden World of Code Around Us

 What surprised me most was realizing how much of our daily lives depend on coding.

Every day I use:

• WhatsApp to communicate with friends and family.
• Google Maps and Waze for navigation.
• Online banking services.
• Travel websites.
• ChatGPT and other AI tools.

Behind every one of these applications are countless lines of code written by programmers.

Most of us never see that code, just as we rarely see the engine inside a car. Yet it powers everything we do.

Why Are Children Learning Coding?

Many schools now introduce coding at an early age.

At first, I assumed this was simply preparation for future technology careers. While that is certainly one reason, there is more to it.

Coding teaches children how to think logically.

When faced with a problem, they learn how to:

• Break large problems into smaller pieces.
• Follow a sequence of steps.
• Test solutions.
• Fix mistakes.
• Keep improving their work.

These skills are valuable regardless of what profession they choose later in life.

Coding is not only about computers. It is also about problem-solving.

Coding Has Become Much Easier

When computers first became popular, coding looked intimidating.

Programmers typed complicated commands on black screens filled with mysterious symbols.

Today, many children begin with visual tools that resemble building blocks or LEGO pieces. They can create games, animations, and simple programs by dragging colorful blocks on a screen.

Learning coding has become far more accessible than it was a generation ago.

Then Came Artificial Intelligence

As I explored the topic further, I discovered something even more interesting.

Artificial intelligence is changing coding itself.

In the past, programmers had to write nearly every instruction manually.

Today, AI tools can generate code from simple descriptions written in ordinary language.

For example, someone can type:

"Create a website that displays my travel photos."

An AI system can generate much of the underlying code automatically.

This is a remarkable shift.

Instead of spending all their time writing code, future programmers may spend more time designing ideas, solving problems, and guiding AI systems.

Will Coding Still Matter in the Future?

I believe it will.

However, the nature of coding may change.

Just as calculators did not eliminate mathematics, AI will not eliminate coding.

People will still need to understand logic, structure, and how technology works.

The tools may become easier to use, but understanding the principles behind them will remain valuable.

A Lesson for Seniors

As seniors, we sometimes hear new technological terms and assume they belong to younger generations.

I used to think coding was something only computer professionals needed to understand.

Now I see it differently.

Learning about coding is really learning about the digital world we live in.

We do not need to become software engineers. We do not need to write complex computer programs.

But understanding the basics helps us appreciate how modern technology works and why it is shaping our future.

Grandpa's Reflection

My grandchildren may spend part of their summer learning coding.

Meanwhile, I may spend part of mine learning what coding means.

They will probably learn much faster than I ever could. But that is not the point.

The point is that learning never stops.

Whether we are eight years old or eighty years old, curiosity remains one of life's greatest gifts.

And sometimes, the best way to connect with a younger generation is simply to learn about the world they are growing up in.

Perhaps that is one of the most important lessons coding has taught me—before I have even written my first line of code.

Hashtags (English)

#Coding
#Programming
#ArtificialIntelligence
#AI
#DigitalLiteracy
#Technology
#FutureSkills

我們身邊隱藏的程式世界

最令我驚訝的是，當我開始了解編程後，才發現我們每天的生活原來如此依賴程式碼。

每天，我都會使用：

• WhatsApp 與親朋好友聯絡；
• Google Maps 和 Waze 導航；
• 網上銀行服務；
• 旅遊網站；
• ChatGPT 及其他人工智能工具。

而在這些應用程式的背後，都有無數程式設計師編寫的程式碼在運作。

大多數人從來看不見這些程式碼，就像我們平時很少看見汽車引擎的內部一樣。然而，正是這些看不見的程式碼，驅動著我們日常生活中的許多活動。

為什麼孩子們要學習編程？

如今，許多學校都開始在孩子年紀很小的時候引入編程教育。

起初，我以為這只是為未來的科技工作做準備。雖然這確實是原因之一，但其實還有更重要的意義。

編程能夠培養孩子的邏輯思維能力。

當面對問題時，他們會學習如何：

• 將大問題拆分成小問題；
• 按照步驟思考和執行；
• 測試不同的解決方案；
• 找出錯誤並加以修正；
• 持續改進自己的成果。

無論將來從事什麼行業，這些能力都非常寶貴。

因此，學習編程不僅僅是學習電腦知識，更是在學習如何分析問題和解決問題。

編程變得容易多了

當電腦剛開始普及的年代，編程給人的印象往往十分複雜和嚇人。

程式設計師需要在黑色螢幕上輸入各種神秘的符號和指令。

然而，今天的情況已經大不相同。

許多孩子學習編程時，會使用像積木或 LEGO 一樣的圖形化工具。他們只需要拖曳不同顏色的方塊，就能創作遊戲、動畫和簡單程式。

相比上一代人，今天學習編程已經變得容易得多，也更容易接觸。

然後，人工智能出現了

當我繼續深入了解這個主題時，又發現了一件更有趣的事情。

人工智能正在改變編程本身。

過去，程式設計師幾乎需要親手編寫每一條指令。

而今天，AI 工具已經能夠根據人們用自然語言輸入的描述，自動產生程式碼。

例如，有人只需輸入：

「建立一個展示我旅遊照片的網站。」

AI 系統便能自動生成網站背後的大部分程式碼。

這是一個非常重大的改變。

未來的程式設計師，也許不再把大部分時間花在編寫程式碼上，而是把更多時間投入到創意設計、解決問題，以及引導 AI 完成工作之中。

未來還需要學習編程嗎？

我相信答案是肯定的。

不過，編程的形式和內容可能會發生改變。

正如計算機的出現並沒有讓數學消失一樣，人工智能的出現也不會讓編程消失。

人們仍然需要理解：

• 邏輯思維；
• 系統架構；
• 科技運作原理；
• 解決問題的方法。

工具可能會變得越來越容易使用，但理解背後的原理仍然十分重要。

給銀髮族的一點啟示

作為長者，我們有時候聽到新的科技名詞，便會認為那是年輕人的世界。

我以前也曾經認為，編程只是電腦專家需要了解的事情。

如今，我有了不同的看法。

學習編程，其實是在學習我們所生活的數碼世界。

我們不一定要成為軟件工程師，也不需要親手編寫複雜的程式。

但了解基本概念，可以幫助我們明白現代科技如何運作，以及它為什麼正在塑造我們的未來。

爺爺的感想

今年夏天，我的孫兒孫女將會花一部分時間學習編程。

而我，也許會花一部分時間去了解編程究竟是什麼。

他們大概會學得比我快得多，但這並不是重點。

真正重要的是：

學習永遠不會停止。

無論是八歲還是八十歲，好奇心始終是人生最珍貴的禮物之一。

有時候，與年輕一代建立聯繫的最好方法，就是去了解他們正在成長和學習的世界。

也許，這正是編程在我還沒有寫下第一行程式碼之前，就已經教會我的重要一課。

Meta Description 

你可曾想過 WhatsApp、Google Maps、網上銀行及 ChatGPT 等 AI 工具是如何運作的？本文帶你探索隱藏在日常生活中的程式世界，了解孩子為何學習編程，以及人工智能如何改變未來的科技與生活。

一段關於學習、付出與感恩的小反思

 (Scroll down to see the English version)

今天幾段平凡的對話，卻讓我思考了很久。

一位博客讀者在我的文章下留言，說：「你學左之後然後教我們啦！」

表面上這句話是輕鬆友善的，但我的第一反應卻有些複雜。我感覺像是自己要先去完成學習的工作，然後再把成果分享給別人，而對方並沒有同樣的投入。

這種感受讓我開始反思。

因為我也有一些朋友，是真正帶著興趣一起學習的。例如一位打乒乓球的朋友，他想開始寫博客，記錄自己的日常書寫與生活。他本身已經每天在寫，只是想用博客這個工具分享出去。在那種情況下，我感覺到的是交流與互相學習，而不是單向的付出。

甚至我們之間也形成了交換：我教他博客，他教我傳統中文書寫。

同樣是「學習與分享」，感受卻完全不同。

之後，我收到孫子 Ayden 的訊息。他收到我們送的 Pokémon 玩具後，竟然說覺得不能白收禮物，想用做早餐等方式“回報”。

這讓我很驚訝，也很溫暖。一個小孩子自然地想到付出與回饋，這種心意很難得。

我們當然告訴他，禮物是因為他在學校和課外活動表現良好，是一種鼓勵。不過，如果他願意做早餐，我們也會非常開心。

把這三段小故事放在一起，我忽然覺得：

學習最有意義的時候，不只是知識的傳遞，而是彼此都有參與、有投入的過程。

而感恩最動人的時候，是它自然地轉化為一種想回饋的心。

A Small Conversation About Learning, Expectations, and Gratitude

Today I had a few conversations that stayed in my mind longer than usual. They were not dramatic events, but they quietly revealed how different people think about learning, effort, and appreciation.

One of my blog readers commented on a post about coding. She wrote in Chinese: “你學左之後然後教我們啦！”—meaning, “After you learn it, then teach us.”

At first glance, it sounds friendly and encouraging. But my immediate reaction was more complicated. I felt a bit uneasy, as if the expectation was for me to do the learning work and then simply pass on the results. It gave me a sense of being placed in the role of the one who studies so others can benefit without the same effort.

That feeling made me reflect.

Because I also have other friends who ask me about blogging or AI tools. For example, a ping pong friend recently asked me to help him start a blog. He writes every day and wants to share his handwritten thoughts with others. In that case, I felt something completely different—respect and genuine connection. He is already doing the work of writing; blogging is just a tool to support it. We even exchanged learning: I helped him with blogging, and he offered to teach me traditional Chinese handwriting.

So why did two similar “teaching” requests feel so different?

I think the difference is not in the words, but in the attitude I sense behind them. When someone is already engaged in effort, I feel happy to share and learn together. When someone seems to expect a shortcut, I feel a bit of resistance.

Later the same day, I read a message from my grandson Ayden. He thanked us for a Pokémon gift, but added something unexpected: he felt he could not accept it for free and wanted to “pay us back” by cooking breakfast or something similar.

That message struck me differently again. A young boy naturally thinking about gratitude and giving back. Of course, we told him the gift was simply a reward for his effort and growth, and that we would happily accept breakfast only if he wanted to make it.

Still, what stayed with me was his instinct to balance receiving with contributing.

Looking at these three moments together, I realize something simple but important:

Learning is most meaningful when it is shared between people who are also willing to try, not only to receive. And gratitude feels strongest when it naturally turns into a desire to give something back, even in small ways.

Maybe this is what makes conversations and relationships meaningful at any age—we are not just passing knowledge around, but also noticing effort, intention, and character behind each exchange.

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我的孫兒孫女今個暑假要學編程——於是我決定了解編程到底是什麼

(Scroll down to see the English version)

最近，女兒告訴我，她的兒子和女兒將會在暑假期間學習編程（Coding）。

其實，我早已聽過「編程」這個詞。它經常出現在新聞報導、科技文章，以及各種有關未來發展的討論之中。然而，如果有人當時問我：「編程究竟是什麼？」我恐怕很難清楚地回答。

正因如此，我產生了好奇心。

既然我的孫兒孫女要學編程，也許爺爺也應該花點時間了解一下，究竟什麼是編程。

編程到底是什麼？

經過一些閱讀和探索後，我發現編程其實沒有想像中那麼神秘。

簡單來說，編程就是向電腦發出指令。

例如沖泡一杯茶，我們通常會按照以下步驟：

1. 煮沸開水；

2. 把茶包放進杯子裡；

3. 倒入熱水；

4. 等待幾分鐘；

5. 取出茶包。

電腦程式其實也是同樣的道理。

程式設計師把一連串步驟寫下來，電腦便會按照這些指令逐步執行。

這些指令便稱為「程式碼」（Code）。

換句話說，編程就是人類與電腦溝通的一種語言。

原來程式碼就在我們身邊

最令我驚訝的是，原來我們每天的生活都離不開編程。

我每天都會使用：

• WhatsApp 與朋友和家人聯絡；

• Google Maps 和 Waze 導航；

• 網上銀行服務；

• 旅遊預訂網站；

• ChatGPT 和其他人工智能工具。

而這些應用程式的背後，都有無數程式設計師編寫的程式碼在運作。

我們平時看不見它們，就像開車時看不見引擎內部一樣，但它們卻默默地支撐著我們的數碼生活。

為什麼孩子們要學編程？

起初，我以為學校推廣編程只是為了培養未來的工程師。

後來我才發現，原因遠不止如此。

學習編程可以訓練孩子的邏輯思維能力。

當遇到問題時，他們需要學習：

• 如何把大問題拆分成小問題；

• 如何按步驟思考；

• 如何測試結果；

• 如何找出錯誤；

• 如何持續改進。

這些能力無論將來從事什麼工作，都十分有價值。

因此，編程不單是學習電腦，更是在學習如何思考和解決問題。

今天的編程比從前容易得多

在早期電腦年代，編程給人的印象十分複雜。

程式設計師要在黑色螢幕上輸入一大堆看不懂的指令和符號。

但今天情況已經大不相同。

許多兒童學習編程時，會使用像積木一樣的圖形化工具。他們只需拖曳不同顏色的方塊，就能創作遊戲、動畫和簡單程式。

學習編程的門檻已大大降低。

然後，人工智能出現了

當我進一步了解編程時，發現另一件更有趣的事情。

人工智能（AI）正在改變編程本身。

過去，程式設計師需要親手撰寫幾乎每一行程式碼。

如今，AI 已經能夠根據人們用自然語言描述的需求，自動產生大量程式碼。

例如，只需輸入：

「請建立一個展示我旅遊照片的網站。」

AI 便能幫助生成網站所需的大部分程式碼。

這是一個非常重要的變化。

未來的程式設計師，也許不再把大部分時間花在輸入程式碼上，而是花更多時間構思創意、解決問題，以及指導 AI 完成工作。

未來還需要學編程嗎？

我相信答案是肯定的。

不過，學習的內容可能會有所改變。

就像計算機的出現並沒有讓數學消失一樣，AI 的出現也不會讓編程消失。

人們仍然需要理解：

• 邏輯思維；

• 系統架構；

• 問題分析；

• 科技運作原理。

工具會越來越容易使用，但背後的思維能力依然十分重要。

給銀髮族的一點思考

作為長者，我們有時聽到新的科技名詞，會覺得那是年輕人的世界。

我以前也曾認為，編程只是電腦專家的事情。

如今，我的看法改變了。

了解編程，其實是在了解我們生活的數碼世界。

我們未必需要成為程式設計師，也不需要親自撰寫複雜的程式。

但理解基本概念，能幫助我們明白科技如何影響社會，以及未來世界將如何發展。

爺爺的感想

今年暑假，我的孫兒孫女將會學習編程。

而我，也許會花一些時間學習「編程究竟是什麼」。

他們學得一定比我快得多。

但重點並不在於誰學得快。

真正重要的是，學習永遠不會因年齡而停止。

無論是八歲還是八十歲，保持好奇心都是人生最珍貴的能力之一。

有時候，要與下一代建立聯繫，最好的方法並不是教導他們，而是願意走進他們的世界，了解他們正在學習和探索的事物。

也許，這正是編程在我尚未寫下第一行程式碼之前，已經帶給我的重要啟發。

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My Grandchildren Are Learning Coding This Summer—So I Decided to Learn What Coding Really Means

Recently, my daughter told me that her son and daughter would be learning coding during their summer vacation.

I had heard the word "coding" many times before. It often appeared in news articles, technology discussions, and conversations about the future. Yet, if someone had asked me to explain exactly what coding was, I would not have been able to give a clear answer.

That conversation sparked my curiosity.

If my grandchildren are learning coding, perhaps it is time for Grandpa to learn a little about it as well.

What Exactly Is Coding?

After some reading and exploration, I discovered that coding is simply the process of giving instructions to a computer.

Think about making a cup of tea.

You follow a series of steps:

1. Boil water.

2. Put a tea bag into a cup.

3. Pour in the hot water.

4. Wait a few minutes.

5. Remove the tea bag.

A computer program works in much the same way. Someone writes a series of instructions, and the computer follows them step by step.

Those instructions are called code.

In other words, coding is the language humans use to communicate with computers.

The Hidden World of Code Around Us

What surprised me most was realizing how much of our daily lives depend on coding.

Every day I use:

• WhatsApp to communicate with friends and family.

• Google Maps and Waze for navigation.

• Online banking services.

• Travel websites.

• ChatGPT and other AI tools.

Behind every one of these applications are countless lines of code written by programmers.

Most of us never see that code, just as we rarely see the engine inside a car. Yet it powers everything we do.

Why Are Children Learning Coding?

Many schools now introduce coding at an early age.

At first, I assumed this was simply preparation for future technology careers. While that is certainly one reason, there is more to it.

Coding teaches children how to think logically.

When faced with a problem, they learn how to:

• Break large problems into smaller pieces.

• Follow a sequence of steps.

• Test solutions.

• Fix mistakes.

• Keep improving their work.

These skills are valuable regardless of what profession they choose later in life.

Coding is not only about computers. It is also about problem-solving.

Coding Has Become Much Easier

When computers first became popular, coding looked intimidating.

Programmers typed complicated commands on black screens filled with mysterious symbols.

Today, many children begin with visual tools that resemble building blocks or LEGO pieces. They can create games, animations, and simple programs by dragging colorful blocks on a screen.

Learning coding has become far more accessible than it was a generation ago.

Then Came Artificial Intelligence

As I explored the topic further, I discovered something even more interesting.

Artificial intelligence is changing coding itself.

In the past, programmers had to write nearly every instruction manually.

Today, AI tools can generate code from simple descriptions written in ordinary language.

For example, someone can type:

"Create a website that displays my travel photos."

An AI system can generate much of the underlying code automatically.

This is a remarkable shift.

Instead of spending all their time writing code, future programmers may spend more time designing ideas, solving problems, and guiding AI systems.

Will Coding Still Matter in the Future?

I believe it will.

However, the nature of coding may change.

Just as calculators did not eliminate mathematics, AI will not eliminate coding.

People will still need to understand logic, structure, and how technology works.

The tools may become easier to use, but understanding the principles behind them will remain valuable.

A Lesson for Seniors

As seniors, we sometimes hear new technological terms and assume they belong to younger generations.

I used to think coding was something only computer professionals needed to understand.

Now I see it differently.

Learning about coding is really learning about the digital world we live in.

We do not need to become software engineers. We do not need to write complex computer programs.

But understanding the basics helps us appreciate how modern technology works and why it is shaping our future.

Grandpa's Reflection

My grandchildren may spend part of their summer learning coding.

Meanwhile, I may spend part of mine learning what coding means.

They will probably learn much faster than I ever could. But that is not the point.

The point is that learning never stops.

Whether we are eight years old or eighty years old, curiosity remains one of life's greatest gifts.

And sometimes, the best way to connect with a younger generation is simply to learn about the world they are growing up in.

Perhaps that is one of the most important lessons coding has taught me—before I have even written my first line of code.

Meta Description

Curious about coding after hearing that my grandchildren would study it this summer, I explored what coding really means, why children are learning it, and how AI is transforming the future of programming.

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AI Is Not Too Late — In Fact, the Real Opportunity May Just Be Beginning

 This morning, while browsing YouTube with a cup of coffee beside me, I stumbled upon an interesting Chinese video titled:

“你现在把AI用起来，其实一点都不晚！让你在30分钟内快速掌握AI，很多人以为AI的机会已经结束了，但真正的大机会，才刚刚开始...手把手超详细教程，赶紧跟上！”

The video was created by Australian-based content creator 澳洲Henry, and what caught my attention immediately was not flashy technology or complicated programming — but the simple and encouraging message:

Ordinary people can still learn AI today, and the opportunity is only beginning.

For many seniors, retirees, and even middle-aged working people, AI can feel intimidating at first. Some people think:

• “I’m too old to learn.”
• “Young people are already far ahead.”
• “Technology changes too fast.”
• “AI is only for programmers.”

But after watching this video, I felt the exact opposite.

The AI Door Is Still Wide Open

We are actually in the early days of practical AI adoption.

Yes, tools like ChatGPT, Gemini, Claude, DeepSeek, and others have become popular. But most ordinary people are still only scratching the surface. Many people have heard about AI, but very few truly use it effectively in daily life.

That means the playing field is still surprisingly open.

In many ways, today reminds me of the early internet years.

Back then:

• Some people ignored email.
• Some people were afraid of computers.
• Some thought websites were just a passing trend.

Yet those who learned gradually — even casually — eventually benefited enormously.

AI may follow a similar path.

Why This Video Resonated With Me

What I liked about Henry’s presentation was that he explained AI in a very practical and approachable way.

Not as science fiction.

Not as something only tech experts can understand.

But as a useful assistant for ordinary life:

• writing,
• learning,
• organizing,
• translating,
• researching,
• brainstorming,
• and improving productivity.

That is exactly how I personally use AI today.

As many readers of Grandpa Journey already know, AI has helped me:

• polish my English writing,
• organize travel memories,
• create blog posts faster,
• translate between English and Chinese,
• learn new topics,
• and even troubleshoot computer problems.

Instead of replacing human creativity, AI often enhances it.

Seniors Actually Have Advantages

Interestingly, I believe seniors may have hidden strengths in the AI era.

Why?

Because many older adults:

• have life experience,
• know how to communicate,
• understand people,
• have patience,
• and possess stories worth sharing.

AI can help unlock those experiences.

A retired teacher can create educational content.

A traveler can document memories.

A hobbyist can organize decades of knowledge.

A grandparent can write family history.

The technical barriers are becoming lower and lower.

Today, you do not need to know coding to benefit from AI.

You mainly need curiosity and willingness to experiment.

My Advice to Readers

If you have never tried AI seriously before, start small.

You do not need to master everything in one week.

Just try simple things:

• ask questions,
• summarize articles,
• translate text,
• brainstorm ideas,
• improve writing,
• or learn new skills.

Treat AI like a helpful companion rather than a mysterious machine.

The most important step is simply beginning.

A Word of Caution

At the same time, AI is not magic.

It can make mistakes.
It can generate inaccurate information.
And it should never replace human judgment, wisdom, or common sense.

Think of AI as:

• a smart assistant,
• not an all-knowing authority.

The human mind still matters most.

Final Thoughts

Watching this video reminded me of something important:

Learning does not stop after retirement.

In fact, retirement may finally give us the time and freedom to explore subjects we never had time for before.

AI is one of those new frontiers.

And no — it is definitely not too late.

The journey may just be beginning.

I totally agree with Australian Henry’s point that we should focus on one platform and learn it thoroughly, rather than constantly chasing every new trend and trying to use them all. In today’s fast-changing AI world, depth of understanding is often more valuable than spreading ourselves too thin. By concentrating on one platform, we can build real skills, confidence, and practical experience — and over time, those lessons can often be transferred to other tools as well.

AI 一點也不算晚 —— 真正的大機會，也許才剛剛開始

今天早上，我一邊喝咖啡，一邊在 YouTube 隨意瀏覽，偶然看到一段很有意思的中文影片：

《你现在把AI用起来，其实一点都不晚！》

這部影片由澳洲的 YouTuber「澳洲Henry」製作，而最吸引我的，不是什麼炫目的科技畫面，也不是複雜的程式語言，而是一個非常簡單卻鼓舞人心的信息：

普通人現在開始學 AI，依然完全來得及，而真正的大機會，其實才剛剛開始。

對很多長者、退休人士，甚至中年上班族來說，AI 看起來好像有點遙不可及。

很多人心裡會想：

• 「我年紀太大了，學不來。」
• 「年輕人已經走得太前面。」
• 「科技變化太快。」
• 「AI 是給工程師和專家用的。」

但看完這部影片後，我反而有完全相反的感覺。

AI 的大門，其實仍然非常開放

我們現在其實還處於 AI 普及化的早期階段。

雖然 ChatGPT、Gemini、Claude、DeepSeek 等 AI 工具已經越來越多人知道，但真正能有效地把 AI 用在日常生活中的普通人，其實仍然不算多。

很多人只是「聽過 AI」，卻還沒有真正開始使用。

換句話說，現在仍然是一個非常好的開始時機。

這讓我想起早期互聯網剛興起的年代。

那時候：

• 有人不願意用電子郵件；
• 有人害怕電腦；
• 有人覺得網站只是短暫潮流。

但後來，那些願意慢慢學習的人，即使只是普通使用者，最終也獲得了巨大的便利和機會。

AI 很可能也會走上類似的道路。

為什麼這部影片讓我很有共鳴

我很喜歡 Henry 的講解方式。

他不是把 AI 說成科幻電影般高深莫測的東西，也不是只有技術人員才能理解的工具。

而是把 AI 看成一個非常實際、非常生活化的助手：

• 幫助寫作；
• 幫助學習；
• 幫助整理資料；
• 幫助翻譯；
• 幫助搜尋資訊；
• 幫助發掘創意；
• 幫助提升效率。

這其實也正是我現在每天使用 AI 的方式。

《Grandpa Journey》的讀者應該都知道，AI 已經在很多方面幫助了我：

• 改善英文寫作；
• 整理旅行回憶；
• 更快完成部落格文章；
• 中英文翻譯；
• 學習新知識；
• 甚至幫助解決電腦問題。

AI 並不是取代人的創意，反而很多時候是在提升人的創意。

長者其實有自己的優勢

有趣的是，我反而覺得，長者在 AI 時代其實有不少隱藏優勢。

為什麼呢？

因為很多長者：

• 有人生經驗；
• 懂得與人溝通；
• 明白人情世故；
• 有耐性；
• 也有很多值得分享的故事。

而 AI 可以幫助把這些寶貴經驗整理和釋放出來。

退休老師可以做教育內容。

旅行愛好者可以整理遊記。

有興趣的人可以分享多年累積的知識。

祖父母甚至可以開始寫自己的回憶錄和家族故事。

最重要的是：

今天的 AI 已經不像以前那樣需要懂程式設計。

現在很多時候，你真正需要的，只是：

• 好奇心，
• 和願意開始嘗試的心態。

我給讀者的一點建議

如果你從未真正使用過 AI，不妨從最簡單的地方開始。

不需要一下子學會所有東西。

只要先：

• 問問題；
• 摘要文章；
• 翻譯文字；
• 發掘新點子；
• 改善寫作；
• 或學習新的技能。

把 AI 當成一位幫手，而不是神秘的高科技機器。

最重要的一步，其實只是「開始」。

同時也要保持清醒

當然，AI 並不是萬能。

它有時也會出錯；
也可能提供不準確的資訊；
更不能取代人的判斷力、智慧與常識。

所以我認為：

AI 最適合的位置，是：

• 一位聰明助手，
  而不是：
• 全知全能的權威。

真正重要的，始終還是人的思考能力。

最後的一點感想

這部影片讓我再次想到：

學習，其實不會因退休而停止。

很多時候，退休反而讓我們終於擁有時間和自由，去探索以前沒有機會接觸的新事物。

而 AI，正是其中一個值得探索的新世界。

所以，現在開始學 AI，真的一點也不晚。

也許，真正的旅程，才剛剛開始。

---

文中提及的 YouTube 頻道：
澳洲Henry YouTube Channel

影片連結：

你现在把AI用起来，其实一点都不晚！

你现在把AI用起来，其实一点都不晚！让你在30分钟内快速掌握AI，很多人以为AI的机会已经结束了，但真正的大机会，才刚刚开始...手把手超详细教程，赶紧跟上！

我非常認同澳洲 Henry 的觀點：與其不停追逐潮流、嘗試使用所有新平台，不如專注於一個平台並深入了解它。在這個瞬息萬變的 AI 時代，對一項工具有深度的理解，往往比樣樣都懂一點更有價值。當我們專注於一個平台時，更容易建立真正的技能、信心與實際經驗，而隨著時間累積，這些學到的知識和能力，很多時候也能轉移到其他工具和平台上。

https://www.youtube.com/watch?v=L1mlqjzbwQs

AI and the Future of Education: Will Self-Learning Replace Traditional Universities?

 Early this morning during meditation, I found myself thinking deeply about the future of education in the age of artificial intelligence.

With the rapid advancement of AI platforms such as ChatGPT, Google Gemini, and DeepSeek, the way people learn is changing dramatically.

Today, anyone with internet access can ask questions instantly, receive detailed explanations, practice languages, learn coding, explore history, study business, improve writing skills, or even create digital content — all from home and often at little cost.

In many ways, AI is becoming a personal tutor available 24 hours a day.

This raises an interesting question:

Will future generations still need traditional tertiary education in the same way as before?

For decades, universities have been viewed as the primary gateway to knowledge, professional careers, and social mobility. But AI may begin shifting education from institution-centered learning to self-directed learning.

Already, we are seeing signs of this transformation:

• Online certifications and micro-courses
• Self-taught programmers and entrepreneurs
• AI-assisted independent learning
• Skills-based hiring instead of degree-based hiring
• Lifelong learning replacing “one-time education”

In fields such as technology, content creation, digital marketing, design, and entrepreneurship, employers increasingly care about what people can actually do rather than simply where they studied.

A motivated learner with AI assistance may now acquire practical knowledge faster than many traditional classroom environments.

However, this does not mean universities will disappear completely.

Traditional institutions still provide important advantages:

• Structured learning environments
• Research opportunities
• Professional accreditation
• Networking and social development
• Academic depth in fields such as medicine, engineering, science, and law

What may change is the role of universities themselves.

Future education may become a hybrid model:

• Foundational education from schools and universities
• Continuous AI-assisted self-learning throughout life
• Personalized learning paths instead of rigid curriculums
• Faster updating of skills as industries evolve

Perhaps the most exciting aspect is that learning may no longer belong only to the young.

Even seniors can now continue learning independently with AI assistance. In my own experience, AI tools have helped me explore blogging, translation, writing improvement, digital creativity, and new technologies in ways that would have been difficult years ago.

AI is lowering the barriers to knowledge.

At the same time, people must remember that AI is still a tool — not a substitute for human judgment, curiosity, discipline, and critical thinking. Learners must still evaluate information carefully and think independently.

The future of education may not be:
“AI replaces schools.”

Instead, it may become:
“AI transforms learning into a lifelong, personalized journey.”

And perhaps we are only witnessing the beginning of this educational revolution.

Hashtags:
#AI #ArtificialIntelligence #FutureOfEducation #SelfLearning #LifelongLearning #ChatGPT #GeminiAI #DeepSeek #Education #OnlineLearning 

AI 與未來教育：自學會取代傳統大學嗎？

今天清晨靜坐冥想時，我不禁深入思考人工智能時代下教育的未來。

隨著 ChatGPT、Google Gemini 和 DeepSeek 等 AI 平台迅速發展，人們學習的方式正在發生巨大改變。

今天，只要能夠上網，任何人都可以即時提問、獲得詳細解釋、練習語言、學習編程、探索歷史、研究商業、提升寫作能力，甚至創作數碼內容——而且大多可以在家中完成，成本也相對低廉。

在很多方面，AI 正逐漸成為一位二十四小時全天候陪伴的私人導師。

這也帶來了一個值得深思的問題：

未來的人，還會像過去一樣需要傳統的大專或大學教育嗎？

幾十年來，大學一直被視為獲取知識、建立專業事業與提升社會地位的重要途徑。但 AI 的出現，可能正在把教育從「以學校為中心」逐漸轉變成「以自我學習為中心」。

其實，我們已經開始看到這種轉變的跡象：

• 網上認證與微課程（Micro-courses）
• 自學成才的程式設計師與創業者
• AI 協助的自主學習
• 技能導向招聘逐漸取代學歷導向招聘
• 「終身學習」取代「一次性教育」

在科技、內容創作、數碼營銷、設計及創業等領域，僱主越來越重視一個人真正能做什麼，而不只是他曾在哪裡讀書。

一位有學習動力的人，在 AI 協助下，今天可能比很多傳統課堂更快掌握實用知識。

不過，這並不代表大學會完全消失。

傳統教育機構依然具有很多重要優勢：

• 有系統的學習環境
• 學術研究機會
• 專業資格認證
• 人際網絡與社交發展
• 在醫學、工程、科學與法律等領域的深入學術訓練

真正可能改變的，其實是大學本身的角色。

未來的教育，也許會變成一種混合模式：

• 學校與大學提供基礎教育
• AI 協助人們一生持續自主學習
• 個人化學習路徑取代僵化課程
• 隨著產業變化，更快速更新技能與知識

也許最令人興奮的一點是：
學習將不再只是年輕人的專利。

即使是長者，今天也可以透過 AI 繼續自主學習。以我自己的經驗來說，AI 工具幫助我探索寫博客、翻譯、改善寫作、數碼創意以及新科技，這些都是幾年前難以想像的事情。

AI 正在降低知識的門檻。

但同時，人們也必須明白，AI 始終只是一種工具，而不能完全取代人類的判斷力、好奇心、自律能力與批判思維。學習者仍然需要仔細分析資訊，並保持獨立思考。

未來的教育，也許不是：

「AI 取代學校。」

而是：

「AI 把學習轉變成一場終身而個人化的旅程。」

而我們現在，或許只是剛剛見證這場教育革命的開始。