Liu Run's CES Trip: Everyone Gets a DingTalk A1 Voice Recording Card!

Where should I begin?

Let's start with "flying," something frequently involved in travel.

01 Node-Based Input

Due to frequent business trips, I spend a significant amount of time on airplanes each year. On my journey to explore the world, flight hours are even longer.

So aside from necessary rest, I usually use this time for reading. At 10,000 meters above ground, free from WeChat messages and phone calls, it’s the perfect opportunity to dive into books that require deep concentration.

But how exactly do I read?

Many people adopt a "linear reading" approach—like listening to a cassette tape, starting from the first track on Side A and ending with the last track on Side B. Knowledge enters the brain sequentially.

This method feels natural and intuitive, but it has one major drawback: poor retrievability. When you want to retrieve a specific piece of knowledge, you might have to go through the entire sequence again.

That’s why I prefer another method: "node-based input."

What is node-based input?

In simple terms, instead of viewing a book’s knowledge as a continuous line, treat it as a network composed of countless knowledge nodes. My goal isn’t to memorize the entire network, but rather to identify valuable nodes during reading, tag them, and store them in my "second brain."

After all, what truly matters isn't what you've read, but what you can recall and reactivate.

This feeling is like walking through a forest. Whenever I encounter an interesting tree, I immediately pull out a GPS tracker to record its exact coordinates, take photos of its key features, and perhaps jot down some reflections. Then, I save this "data package" into my personal mapping system. From then on, this tree becomes a node on my knowledge map—one I can instantly teleport to anytime.

In the future, when I need this knowledge—for writing articles or making decisions—I can easily retrieve and quickly recombine these nodes.

For example, on this recent flight to the United States, I read several books.

Some insights about AI offered me significant inspiration.

So how do I tag these insights as nodes? Stopping to take notes on my phone or computer would break my immersive reading flow. Instead, I reach for the small card attached to the back of my phone and press and hold it briefly. It vibrates slightly—a tactile feedback confirming, "I’m now recording." Then I continue reading while speaking into it: "This book mentions an interesting perspective on technological containment and diffusion. It goes like this..." Press and hold again; another vibration signals, "Got it, saved." In this way, the act of tagging a node is completed with minimal disruption to my thinking process.

This small card is the DingTalk A1 voice recorder we brought along. Its slim profile and magnetic attachment to the back of my phone make it nearly imperceptible. The Type-C interface also means one less charging cable to carry.

After landing, I open the DingTalk app on my phone. Voice memos recorded mid-flight have already synced automatically and been converted into text, quietly waiting in the "Reading Notes" category. The duration of each entry helps me quickly assess the complexity of the recorded content.

Then, I wrote a custom prompt to let AI play the role of a "reading assistant," helping me organize structured notes containing elements such as "book title, core idea, my reflections, related concepts."

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