Reborn in 2010, the AI ​​in my mind is too powerful.

Some of the reporters in the audience are impatient; they've already turned up the lights on their phones and computers. Although the brightness isn't enough for them to see what's happening on stage, some of them are already screaming.

More than twenty mechanical dogs ran over in unison from the surrounding passageway and crouched down. In the darkness, these mechanical dogs emitted flashing red lights, which looked rather frightening.

But soon the lights came back on, and under the lights, these mechanical dogs didn't look scary at all. After all, they didn't even look headless, so they obviously couldn't bite anyone.

These robotic dogs are not tall, with a matte black exterior, and carry a module about the size of a toolbox on their backs. Some daring people have already come over and touched them, and the dogs will occasionally flinch.

Chen Yiran then spoke up, trying to draw everyone's attention back to the stage, but after shouting for a while, few people paid him any attention. Most of the people below had already left their seats and squatted down next to the mechanical dog to start examining it. They were basically tapping and touching it here and there.

Left with no other option, Chen Yiran gave the order: "Everyone come over here. All the operators, get up on the platform and don't stand out down there."

The mechanical dogs below immediately began to rush onto the stage. Some curious people tried to stop them, but they nimbly dodged them.

Once they were all on stage, Chen Yiran pointed to the big screen and said, "This is our last product today, the first generation of commercial robot dogs, which we name the Watcher D1."

The topic I want to talk about today can be summed up in one sentence: taking someone else's place. Taking someone else's place means doing those dangerous and unavoidable tasks instead of having someone else do them.

Machines have done this kind of work before, but it's never become mainstream—either too expensive or unreliable. Our Watcher D1 is truly capable of being used in frontline industrial maintenance.

Chen Yiran waved his hand to signal, and then a mechanical dog on the stage began to demonstrate. It crawled through the right side of the pipe that the staff had just pushed up. This was a device simulating an underground utility tunnel.

The large screen also switched to its first-person perspective and an operating interface. The laser radar had already scanned the structure of the utility tunnel and created a map in real time. The mechanical dog moved forward and even marked some rusty areas.

The gas sensors issued warnings at several locations, indicating that the methane concentration exceeded the limit. The whole process was very quick; a few minutes later, it jumped out from the other outlet and then obediently sat down on the side.

The audience first applauded, then their cameras clicked.

Chen Yiran didn't let the applause last long; he raised his hand and switched the screen to another pre-recorded live video.

This time, the Watcher D1 carried the module up a maintenance ladder and stopped in front of a rusted valve. A small robotic arm reached out and turned the valve handwheel half a turn. The depth camera zoomed in and read the numbers on the dial. A line popped up in the lower right corner of the screen: Pressure abnormal, shutdown recommended.

The screen then switched to a video. In the video, the Watcher was walking slowly in the pipe gallery of a power plant. The infrared camera scanned a row of motors, and the temperature curve of one of them turned red. The location was immediately marked, and a line popped up: Hotspot, investigation recommended.

Chen Yiran reached out and touched the back shell of the Watcher at his feet: "It can traverse complex terrains such as stairs, gravel, grass, sand, snow, and puddles without altering its original environment."

It can enter cable tunnels in power plants, high-temperature pipe corridors in petrochemical plants, and dusty passageways in steel mills. It also has its uses in high-risk scenarios such as search and rescue and even nuclear power plants.

The two demonstrations you just saw, drilling pipes and turning valves, both relied on real-time mapping using LiDAR and depth cameras. Once inside, they could find their way on their own without needing to be programmed in advance.

It integrates LiDAR, infrared thermal imaging, visible light vision, gas detectors and sound recognition. With multiple modal sensors, it can monitor seven types of hazardous gases in real time, including abnormal temperature, equipment overheating, smoke, water stains, abnormal noises, and combustible gas leaks. The detection accuracy is over 95%, and the response time is reduced to less than 90 seconds.

Once the threshold is triggered, an alarm will be sent directly to your mobile phone within seconds, and on-site images and data will be transmitted back simultaneously, enabling real-time intervention by maintenance personnel.

Carrying that demonstration module on its back weighs over 20 kilograms. Even if you insist on sending someone along, it at least carries a set of testing equipment for someone else. Moreover, the outer shell is made according to explosion-proof standards, making it very durable.

It is equipped with a Latte Smart Chip, which can still make many reasonable judgments even when offline.

We tested it for months under many simulated extreme conditions. Believe me, if it can't go there, humans certainly can't. From now on, workers will no longer need to blindly risk their lives in dangerous places.

Then, the big screen showed several video clips, all of which were catastrophic scenes. Chen Yiran then introduced them: "In April 2010, the drilling platform of a deep-sea oil well in the Gulf of Mexico exploded, killing eleven people."

That's BP's Macondo well, the platform is called Deepwater Horizon.

After the well blowout and fire, the platform sank, causing a massive oil spill, the largest offshore oil spill to date. The well was thousands of meters below the seabed, and there were hundreds of people on the platform; when the accident happened, there was nowhere to escape.

After further investigation, the problem was ultimately found to be with the blowout preventer and downhole controls, both of which were areas where personnel couldn't go down or reach them, and where they usually had to rely on instruments to guess what was happening.

Back in September 2010, a natural gas pipeline exploded in San Bruno, California. The 9-inch pipe, due to a simple weld defect, killed eight people.

There's no other way. That weld is at the intersection of the underground utility tunnel. Should we send someone in to check? And if we do, will they be able to find it effectively?

In 1988, the Piper Alfa platform in the North Sea killed 167 people. It was the most devastating accident in the history of the North Sea oil fields, with a natural gas leak on one platform causing a series of explosions and fires so intense that rescue ships could not get close.

Last month, just three weeks before this press conference, an oil pipeline leaked into a municipal sewer in Qingdao, China, causing an explosion that killed 62 people.

It was an underground crude oil pipeline, right next to the city. If there had been a robotic inspection system to check it regularly, this accident might not have happened.

These four things seem unrelated, but they are actually the same thing. They are dangerous jobs that always need to be done by someone, but because the environment is too harsh, even if someone takes the risk, it is difficult for them to do as well as our Watcher D1.

From now on, we need to free humanity from those dangerous jobs!

This is just the beginning. In the future, we will not only need to overcome these more dangerous industrial inspection positions, but also those monotonous assembly line jobs. Although it will be difficult, human hands are too dexterous, something that machines cannot match in the short term.

But this remains our ultimate goal: to liberate all of humanity from tedious, monotonous, and uncreative work.

As Chen Yiran raised the tone at the end, the Aurora press conference came to an end. The audience split into two groups: one group rushed out frantically, ready to quickly publish their reports.

Others simply stayed in the audience, pleading for a more detailed demonstration of the mechanical dog's performance.