Technology invades the modern world

Chapter 478 Working with the professor is so wonderful
When John Morgan received Lin Ran's call, his screen was filled with blood-red indices.

Unlike the A-share market where red indicates an increase, the US stock market uses red to indicate a decrease.

So red is not a good thing for them.

It was afternoon tea time in Tokyo, but John Morgan Sr.'s face showed no signs of relief. This sharp drop was a heavy blow to a financial giant like Morgan.

Because the secrecy surrounding "Rainbow" was handled exceptionally well.

Six months ago, when Rainbow was launched, the US stock market experienced a slight decline because China had once again made progress in the advancement of left-right brain architecture and artificial intelligence.

But it quickly stopped falling and rebounded, not only recovering the losses but also continuously reaching new highs. This is because the appearance of the rainbow means that LLM is on the right track, and the left-right brain structure can help LLM break through the ceiling that the academic community originally thought it to be.

The ceiling has been raised, which is a good thing for the entire industry.

No matter how powerful China's AI is, relying on the narrative logic of the so-called free world being wary of the evil dragon in the East, it can force the world's most consumer-driven region to accept the rule that only America's artificial intelligence can be used.

Fist is the rule.

All it takes is saying: "Do you want to become a comrade-in-arms?" and these liberal countries will have to obediently comply.

Huawei is a case in point. Even if Huawei's communication equipment has no backdoors, no problems, and is of high quality and low price, it still loses the market.

So in the past six months, the rainbow actually boosted the US stock market, which is driven by the strong logic of artificial intelligence. In short, no matter how bad the situation is, Wall Street can package it as a good thing.

On Bilibili, bloggers who verified the facts on the Simplified Chinese Internet joked: "Rather than saying that America is now a larger version of India, it's more accurate to say that America is in Feng Ge's universe. Either way, it's a good thing, and no matter which direction she goes, it's uphill."

However, Wall Street's strategic optimism and China's extreme secrecy combined to leave America unprepared to uncover the truth about the rainbow.

Several industry giants, including Goldman Sachs and Morgan Stanley, have not engaged in large-scale short selling to address this level of paradigm collapse risk.

Although some traders, based on their sensitivity to the large-scale short-selling activities of Chinese accounts during market anomalies, set up small short positions in advance to hedge tail risks, the disruptive information of "intelligent migration" and "embodied intelligent computing power demand" triggered by the Deep Red paper led to an instantaneous depletion of market liquidity and systemic risks.

This level of information tsunami meant that even small short-selling hedging positions were no match for the impact of the index crash, resulting in huge paper losses that were nothing short of a nightmare.

For Morgan, this was betrayal. How could China keep this to themselves without informing him? Weren't we close partners? You just ate the cake like that? And from my own hands?
But after Lin Ran said "Let's do something big," his resentment at the other party for not telling him vanished.

A smile returned to John Morgan's face: "Professor, loyal Morgan has been waiting for your instructions!"

Lin Ran shook his head. "Alright, now it's time to reap the rewards of panic."

“Give me your orders!” said old John Morgan.

"See you at Shenhai tonight," Lin Ran said.

John Morgan Sr. understood that something extremely important must be behind this, and it couldn't be discussed over the phone.

“Okay, I’m off right now!” Old John Morgan said excitedly; the opportunity to make money had arrived.

Collaborating with professors is a matter of winning big or small; this is a real win, and the unrealized profits on the books are enough to make anyone happy.

Let alone just flying from Tokyo to Shanghai, even if it were from New York to Shanghai, John Morgan would set off immediately.

At night, the dazzling neon lights outside the window, thanks to Apollo Technology's presence, have driven the economic boom and infrastructure renovation of the entire Baoshan district.

Upon hearing "Come in," John Morgan Sr. pushed open the door and entered: "Professor, you have successfully created an earthquake."

I have many clients whose feelings at this moment are comparable to a son telling him he's married to a Jewish woman.

The close collaboration between Anglo-Saxons and Jews, though seemingly a long period, is not traditional when viewed on a longer timescale.

For much of the 20th century, especially in America before World War II, Wall Street, top law firms, and elite clubs were dominated by Anglo-Saxon Protestant elites.

This elite class engages in overt or covert discrimination and quota restrictions against non-mainstream groups such as Jews, Irish Catholics, and Italians.

In WASP elite families, a perceived downgrade in social status or betrayal of family tradition is more unacceptable than financial loss.

Such ideas had briefly disappeared, but with the rise of Big T, the conservative ideology of pre-World War II Anglo-Saxon thought returned to America, and the specter of conservatism hovered directly over Wall Street.

For the old Anglo-Saxon aristocracy of Wall Street today, financial losses are quantifiable, while marrying a Jewish woman represents a permanent and emotional contamination of one's identity, lineage, and cultural purity.

This kind of thinking has revived.

If other Chinese people were to use Morgan's analogy, they would be taken aback and feel strange, thinking, "Aren't you all in cahoots?"
Only Lin Ran could understand it immediately.

Who told him that during the Cold War, he was a symbol of Judaism, of Chinese descent, and the antithesis of Anglo-Saxons?

This kind of discrimination won't be openly displayed in front of him, but it's as ubiquitous as air, invisible yet ever-present.

Lin Ran remained calm and didn't respond: "John, we've known each other for so long, do you think I'm the kind of person who's only interested in creating chaos? The crash you're seeing now isn't a bad thing; on the contrary, it's a good thing for human civilization and the capital market."

John Morgan Sr. said with a smile, “Professor, that is indeed a good thing, if you define yourself as human civilization.”

Lin Ran said calmly, "So Morgan, now you have the opportunity to join the civilized camp!"

John Morgan reached out to shake hands with Lin Ran: "That's right, let's pull off something big!"

"I will release more bad news about LLM later, making the whole market extremely pessimistic, and you, my friend, need to do short sell and induce your Wall Street peers to short sell as well, claiming that they got the information from me."

"This led to shorting the entire market, pushing US stocks further into the abyss," Lin Ran said.

John Morgan Sr. asked, "And then?"

He knew Lin Ran's style; this was just the beginning, not the end.

"Then, I will announce the real news. In fact, the research surrounding the rainbow is a positive development, an unprecedented positive development. We can absorb all the short-selling funds!" Lin Ran said.

Such a collaboration required an "insider," and only John Morgan Sr. was suitable to play that role. As a true insider, whether it was his past track record in the Taiwan stock market, the overt and covert cooperation between the Morgan family and Lin Ran, or covering up the entire Wall Street robbery itself, only Morgan could do it.

“The rainbow proves that true wisdom is contextual and social.”

The advanced intelligence and willpower of artificial intelligence are anchored in a specific low-latency, high-fidelity social symbol environment.

This is a victory for cognitive science, and also a victory for engineering.

This precisely proves that the likelihood of humanity moving towards a universal AGI has increased, not decreased.

Lin Ran was speaking, and John Morgan Sr. was listening.

"Admittedly, current computing power cannot build a society for artificial intelligence while simultaneously enabling each AI entity to socialize and process massive amounts of continuous and robust data."

However, the right door was also pointed out.

What is the right path? A socialized environment is an effective way for AI to improve its intelligence.

All we need to do now is give the AI ​​robot a body, the computing power of an entire data center as its brain, and then let it operate in the natural and extremely complex petri dish of human society.

Is there any social environment more complete, more complex, or richer than the real world?
Combining cloud computing power with a machine body, I call it embodied social intelligence.

After Lin Ran finished speaking, old John Morgan immediately understood.

While it's unrealistic to build a social model for the virtual world with current computing power, who says it has to be entirely virtual?
Why not combine the real and the virtual?
Why not use an entire computing center to cultivate an artificial intelligence, which has a body, learns, lives, and works in the real world, and naturally interacts with human society?
John Morgan Sr. paced excitedly back and forth in his office: "This is not just a robot, this is the arrival of intelligence! An intelligent agent with a coherent personality—this is a future prospect that large text models can't even begin to describe! All industries could be completely revolutionized by this arrival!"

“That’s right, John. This is the direction we’re taking to redirect capital.”

"What the market is abandoning now is the old track of text prediction, and what we want them to chase is the new wave of life embodied in reality," Lin Ran nodded.

This is, of course, just a blueprint. For Lin Ran's so-called embodied intelligence to truly be implemented, problems such as robot control, connectivity, and sensor accuracy need to be solved.

The brain resides in data centers, while the body exists within the complex societies constructed by human cities. To enable it to interact in real time like a human, nanosecond-level low-latency control must be achieved.

Current network latency, signal transmission bottlenecks, and edge computing capabilities make it difficult to support high-frequency, continuous, and robust torque output from artificial intelligence to robots.

This will drive new leaps in edge computing, 5G/6G communication architecture, and dedicated fiber optic networks, further addressing bottlenecks in remote control and cloud computing.

In the real world, changes in light, friction, and material tolerances are all continuous and noisy.

This requires the robot's sensors to reach unprecedented levels of precision, and it must achieve millisecond-level fusion of these heterogeneous data and transform them into symbols that artificial intelligence can understand.

This will revolutionize the fields of machine vision, tactile sensing, and sensor data processing, giving rise to a new generation of hardware with high robustness and human-level perceptual resolution.

This includes building an embodied learning algorithm that can efficiently transform continuous, unstructured physical data into structured experience that can correct its high-level planning after each failed grasp or fall in reality.

This will break through the existing paradigms of reinforcement learning and imitation learning, creating a general-purpose robot operating system with powerful self-correction and rapid environmental adaptation capabilities.

This means there are countless prospects: robot components, new actuators, high-energy-density batteries, low-latency network protocols, and so on.

The technologies derived from this will bring about a new leap forward for human society.

Its likelihood of realization is also much greater than that of the so-called large model LLM, which can become general intelligence.

New bubbles are much more tempting than old bubbles.

Large-scale models only bring about the development of computing power, hardware architecture, and algorithm-related technologies. The scope of these technologies is too limited, and the application scenarios are not rich enough.

Embodied intelligence is far superior to simple LLM in every respect.

Embodied intelligence can be seen as an upgraded version of LLM. The original US stock market bubble could inflate to one trillion US dollars; after being converted to embodied intelligence, it is not a dream to play to ten trillion US dollars.

The one trillion here is a numerical metaphor.

"The market value of robotics hardware companies, especially those focused on low-latency, high-precision actuators and sensor fusion, will double instantly."

Data centers and cloud service providers are no longer there to train generic LLMs, but to support individual digital souls, and their computing power needs will be endless.

There are also companies that focus on in-depth data in specific industries. They have the soil of the real world, which is a natural petri dish for embodied intelligence learning and taking root. The valuations of these companies will skyrocket!
Of course, general LLM concept stocks will return to rationality, but they won't die out.

They will continue to exist as the emotional center and remote brain of embodied intelligence.

We can seize all the positions in this new world while everyone is panicking, and at the same time harvest the short-selling funds, forcing them to go long!

Perfect, absolutely perfect!

Professor, you are a born capitalist.

This sell-off is actually giving us a huge discount.

John Morgan Sr. was already envisioning a bright future with Lin Ran.

For John Morgan Sr., money was always just a number. He said he had no concept of money, and that was truly the case.

But he enjoyed the feeling, after years of being a playboy at home, he enjoyed the feeling of having the world at his fingertips.

From this perspective, Lin Ran, who possesses the ability to change the world, was John Morgan Sr.'s favorite partner.

At almost the same time, in a young faculty apartment at Shanghai Jiao Tong University, Xu Xian broke out in a cold sweat.

On his computer screen, the reply from Sivana in the green and white WeChat chat box made his heart leap into his throat.

"Ah Xian, is Rainbow Star just a piece of data? Did I not exist before?"

(End of this chapter)