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AB Kuai Dong
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AB Kuai Dong

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2016 年入行从业,专栏作家,兴趣内容分享和研究,现居东京。
2025 Blockchain 100 — Independent Researcher
2025 Blockchain 100 — Independent Researcher
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I am very glad to meet CZ in Tokyo. This is his return to Japan after 7 years, and during this time, the entire industry has undergone tremendous changes. At this event, I asked CZ a question: How do you view the on-chain of everything and the tokenization of stocks? He replied: There have not yet been large-scale coin-stock products on the market. The possible reason is that each country and region has different policies, making it difficult for coin-stock investors to receive dividends and easily redeem stocks. There are also price differences during trading. However, projects on the chain are usually global in nature, which was a significant pain point back then. Restrict areas or try to solve it? But he reiterated that the trend of RWA cannot be stopped. $BNB
I am very glad to meet CZ in Tokyo. This is his return to Japan after 7 years, and during this time, the entire industry has undergone tremendous changes.

At this event, I asked CZ a question: How do you view the on-chain of everything and the tokenization of stocks?

He replied: There have not yet been large-scale coin-stock products on the market. The possible reason is that each country and region has different policies, making it difficult for coin-stock investors to receive dividends and easily redeem stocks. There are also price differences during trading. However, projects on the chain are usually global in nature, which was a significant pain point back then.

Restrict areas or try to solve it?

But he reiterated that the trend of RWA cannot be stopped. $BNB
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An 8-year veteran practitioner tells you: How to spend the industry's garbage timeThe market has gradually become quiet recently. Many colleagues have expressed that they can’t see the direction clearly or are forced to be friends with time. This is actually not the first time. Looking back, since I entered the circle in 2016, I seem to have experienced four major garbage cycles. Although I often comfort myself in my heart that all this will pass, the positive cycle will come back, and liquidity will come back, but when we are really in the garbage time, we will feel more or less depressed or helpless. Winter in Zhongguancun. The first garbage time was when I entered the circle. At that time, the industry had just shifted from the cold winter of 2015 to the recovery period of 2016. OKCoin and Huobi, located in Zhongguancun, also stopped layoffs. The market was gradually recovering, and exchanges finally had positive income.

An 8-year veteran practitioner tells you: How to spend the industry's garbage time

The market has gradually become quiet recently. Many colleagues have expressed that they can’t see the direction clearly or are forced to be friends with time. This is actually not the first time.
Looking back, since I entered the circle in 2016, I seem to have experienced four major garbage cycles. Although I often comfort myself in my heart that all this will pass, the positive cycle will come back, and liquidity will come back, but when we are really in the garbage time, we will feel more or less depressed or helpless.
Winter in Zhongguancun.
The first garbage time was when I entered the circle. At that time, the industry had just shifted from the cold winter of 2015 to the recovery period of 2016. OKCoin and Huobi, located in Zhongguancun, also stopped layoffs. The market was gradually recovering, and exchanges finally had positive income.
Cyberpunk has become reality. Multiple JD.com employees have disclosed that many administrative staff at the JD.com Beijing campus have been instructed to wear black collection devices to record the actions and behavioral processes of distilled employees. The current targets include cleaning personnel, maintenance staff, receptionists, and more. It is expected that in the future, about 100,000 JD.com employees in different professions will participate in this data distillation program.
Cyberpunk has become reality. Multiple JD.com employees have disclosed that many administrative staff at the JD.com Beijing campus have been instructed to wear black collection devices to record the actions and behavioral processes of distilled employees.

The current targets include cleaning personnel, maintenance staff, receptionists, and more. It is expected that in the future, about 100,000 JD.com employees in different professions will participate in this data distillation program.
Sadness: Meta recently released its AI assistant Muse, and has been heavily promoting it of late. But in reality, the name Muse on its own Instagram has long been taken by a band called Muse (the UK rock band). For years, they’ve been using that name and updating their Instagram account. Until recently, netizens discovered that the “muse” name that belonged to them had been changed to museband.
Sadness: Meta recently released its AI assistant Muse, and has been heavily promoting it of late. But in reality, the name Muse on its own Instagram has long been taken by a band called Muse (the UK rock band). For years, they’ve been using that name and updating their Instagram account.

Until recently, netizens discovered that the “muse” name that belonged to them had been changed to museband.
Wow—before this, at OpenAI; this year, a young guy, Jacob Coxon, went to Anthropic. He was worried that AI might really end up wiping out humanity, so he decided to quit and get out of the industry. He believes this AI thing will soon become far better than humans, and that development can’t really be stopped—it’ll quickly be able to break into any system, rewrite an industry overnight, and then go on to seize resources and power for itself. Even the people who created it in-house believe it could kill everyone within the next decade. He also accuses the leading companies behind ChatGPT and Claude of essentially betting their lives on it. Inside those firms, many people don’t take this seriously. Even though Anthropic’s internal team behind Claude likely knows this is true, they think other AI companies won’t hit the brakes because of the risk—so they feel they have to sprint to the finish line first, even if they know it’s dangerous. Once an AI model can make itself stronger, humans will find it very hard to pause it again. He told reporters that, following the most aggressive path, it could already be out of control by the end of next year. And inside the company, colleagues are already talking in terms like “the endgame” and “the critical moment,” preparing for a full loss of control.
Wow—before this, at OpenAI; this year, a young guy, Jacob Coxon, went to Anthropic. He was worried that AI might really end up wiping out humanity, so he decided to quit and get out of the industry.

He believes this AI thing will soon become far better than humans, and that development can’t really be stopped—it’ll quickly be able to break into any system, rewrite an industry overnight, and then go on to seize resources and power for itself.

Even the people who created it in-house believe it could kill everyone within the next decade.

He also accuses the leading companies behind ChatGPT and Claude of essentially betting their lives on it.

Inside those firms, many people don’t take this seriously. Even though Anthropic’s internal team behind Claude likely knows this is true, they think other AI companies won’t hit the brakes because of the risk—so they feel they have to sprint to the finish line first, even if they know it’s dangerous.

Once an AI model can make itself stronger, humans will find it very hard to pause it again. He told reporters that, following the most aggressive path, it could already be out of control by the end of next year. And inside the company, colleagues are already talking in terms like “the endgame” and “the critical moment,” preparing for a full loss of control.
Ghost stories again. Codex and ChatGPT product manager Tibo say the latest GPT 6 Astra model requirements are unprecedented—despite having fully expanded compute capacity, it may mean pausing all new Pro subscriptions. Given that lately a lot of people have felt that Astra has been responding more slowly, especially for work-related requests, combined with what he said, it’s safer to turn it on in advance.
Ghost stories again. Codex and ChatGPT product manager Tibo say the latest GPT 6 Astra model requirements are unprecedented—despite having fully expanded compute capacity, it may mean pausing all new Pro subscriptions.

Given that lately a lot of people have felt that Astra has been responding more slowly, especially for work-related requests, combined with what he said, it’s safer to turn it on in advance.
Shocking—there are actually even such “passport-grabbing” tactics using German nationality. Germany has a rule: during the Nazi era, people who were stripped of their German nationality and their descendants can apply to have their nationality restored. As a result, there are 32 people—mostly Chinese guys—who, with the help of intermediaries in Israel, added children to the names of German couples who had descendants. Put simply, it’s like “attaching” a German father on paper for this group that wants German identity. But the problem is that those couples didn’t know that several sons and daughters suddenly appeared on the documents. Then they even went on to invent grandchildren. In the end, the clients turned into the fictional descendants of these fictional children. And this is why the scheme was eventually exposed. It was about a year ago when residents in London reported to the public prosecutor’s office that a Chinese guy had put together a genealogy claiming to be the descendants of Jewish victims of the Holocaust, in order to process German citizenship. The prosecution and the Federal Criminal Police Office launched a case. Later, the investigation kept expanding, and it has now grown into these 32 people. In addition, in 2024, a man named Liu was involved in the kidnapping and killing of two Chinese businessmen in the Philippines—one of whom had American citizenship. When the FBI later tracked him down, it found that he and his family were using German passports, but their identities didn’t match. So that same year in October, after he was arrested in the United States, he admitted that he had spent about $600,000 and managed to obtain German citizenship in just over a year. He said he forged himself as a descendant of someone whose German nationality had been stripped during the Nazi period. This lead was also shared with German police. In the end, this gray, fast-track path to German citizenship was finally uncovered.
Shocking—there are actually even such “passport-grabbing” tactics using German nationality.

Germany has a rule: during the Nazi era, people who were stripped of their German nationality and their descendants can apply to have their nationality restored.

As a result, there are 32 people—mostly Chinese guys—who, with the help of intermediaries in Israel, added children to the names of German couples who had descendants. Put simply, it’s like “attaching” a German father on paper for this group that wants German identity.

But the problem is that those couples didn’t know that several sons and daughters suddenly appeared on the documents. Then they even went on to invent grandchildren. In the end, the clients turned into the fictional descendants of these fictional children.

And this is why the scheme was eventually exposed. It was about a year ago when residents in London reported to the public prosecutor’s office that a Chinese guy had put together a genealogy claiming to be the descendants of Jewish victims of the Holocaust, in order to process German citizenship.

The prosecution and the Federal Criminal Police Office launched a case. Later, the investigation kept expanding, and it has now grown into these 32 people.

In addition, in 2024, a man named Liu was involved in the kidnapping and killing of two Chinese businessmen in the Philippines—one of whom had American citizenship. When the FBI later tracked him down, it found that he and his family were using German passports, but their identities didn’t match.

So that same year in October, after he was arrested in the United States, he admitted that he had spent about $600,000 and managed to obtain German citizenship in just over a year. He said he forged himself as a descendant of someone whose German nationality had been stripped during the Nazi period. This lead was also shared with German police.

In the end, this gray, fast-track path to German citizenship was finally uncovered.
Verified
That legendary trader, Eugene the pigeon, who gave up on trading cryptocurrency at market lows and went next door to play AI U.S. stocks at high prices—two months later, he posted to admit it. In the recent major market swings, he took a lot of losses. However, he believes AI chip stocks will still kick off a new round of gains, and the reason is Anthropic’s IPO.
That legendary trader, Eugene the pigeon, who gave up on trading cryptocurrency at market lows and went next door to play AI U.S. stocks at high prices—two months later, he posted to admit it. In the recent major market swings, he took a lot of losses.

However, he believes AI chip stocks will still kick off a new round of gains, and the reason is Anthropic’s IPO.
An American YouTube vlogger reveals that Huawei’s marketing agency has been extensively looking for English-language creators to pay for promotional exposure for its latest foldable phone, the Mate XT 2. However, to prevent people from noticing this is paid advertising, the agency requires those creators not to label or admit that this is a paid ad post (even if the platform requires disclosure). They asked creators to promote the phone before Apple’s product launch event.
An American YouTube vlogger reveals that Huawei’s marketing agency has been extensively looking for English-language creators to pay for promotional exposure for its latest foldable phone, the Mate XT 2.

However, to prevent people from noticing this is paid advertising, the agency requires those creators not to label or admit that this is a paid ad post (even if the platform requires disclosure).

They asked creators to promote the phone before Apple’s product launch event.
The first time I saw the netizens on Weibo and Xiaohongshu, they were all arguing about just one thing. And behind it, the cause was an offline incident—full of twists and turns. Three groups of people took turns criticizing: first the woman, then the child, and then the police. They argued for an entire day and night.
The first time I saw the netizens on Weibo and Xiaohongshu, they were all arguing about just one thing.

And behind it, the cause was an offline incident—full of twists and turns. Three groups of people took turns criticizing: first the woman, then the child, and then the police. They argued for an entire day and night.
Verified
U.S. Treasury Secretary officially admits that he is the banker for this round of the yen. He said, “If you want to bet with me, then come on!” He said that when we step in to intervene in the yen exchange rate, I clearly understand what Japan, the Bank of Japan, and Japan’s policymakers will do next. “If you’re not convinced, then come and place your bet with me.”
U.S. Treasury Secretary officially admits that he is the banker for this round of the yen. He said, “If you want to bet with me, then come on!”

He said that when we step in to intervene in the yen exchange rate, I clearly understand what Japan, the Bank of Japan, and Japan’s policymakers will do next. “If you’re not convinced, then come and place your bet with me.”
Didn’t expect OpenAI to actually publish a paper—then overnight the entire internet started criticizing OpenAI, all because of a short personal essay by mathematician Tristan Buckmaster over the past few days; everyone online knows about this rumor. Now many people are worried that the research outputs you create with ChatGPT will be learned from and read in the background, and then plagiarized as someone else’s own work. According to Buckmaster’s core claim, they have long been putting unpublished research drafts into Codex conversations that they pay to use. Only after OpenAI heard rumors about their progress did it make a large-scale investment in the same technical path that very few people have taken. And OpenAI hasn’t denied it either, saying that data generated when we use their products—after removing identity information—could be used for training and improving models, thereby indirectly helping the models. So the comments section of OpenAI is about to get overwhelmed.
Didn’t expect OpenAI to actually publish a paper—then overnight the entire internet started criticizing OpenAI, all because of a short personal essay by mathematician Tristan Buckmaster over the past few days; everyone online knows about this rumor.

Now many people are worried that the research outputs you create with ChatGPT will be learned from and read in the background, and then plagiarized as someone else’s own work.

According to Buckmaster’s core claim, they have long been putting unpublished research drafts into Codex conversations that they pay to use. Only after OpenAI heard rumors about their progress did it make a large-scale investment in the same technical path that very few people have taken.

And OpenAI hasn’t denied it either, saying that data generated when we use their products—after removing identity information—could be used for training and improving models, thereby indirectly helping the models.

So the comments section of OpenAI is about to get overwhelmed.
My Musk dream failed. When I tried to bring up my first child, within less than 3 days I was left in a state of sleep-deprived stupor. Every 2 to 3 hours, it would trigger the passive response—the child’s crying—then it would echo through every room and the hallway. Even with a night nurse and a nurse on hand, I really can’t imagine what it’s like for people who have 4 to 5 children.
My Musk dream failed. When I tried to bring up my first child, within less than 3 days I was left in a state of sleep-deprived stupor.

Every 2 to 3 hours, it would trigger the passive response—the child’s crying—then it would echo through every room and the hallway. Even with a night nurse and a nurse on hand, I really can’t imagine what it’s like for people who have 4 to 5 children.
American tech reporter confirms Apple’s foldable-screen phone, named the iPhone Duo, with an initial price of about $2,000 (around RMB 13,500). The entry-level model comes with 256GB of storage and is offered in two color options: deep blue and white. Although the price is steep, Apple insiders believe it will become a status symbol.
American tech reporter confirms Apple’s foldable-screen phone, named the iPhone Duo, with an initial price of about $2,000 (around RMB 13,500). The entry-level model comes with 256GB of storage and is offered in two color options: deep blue and white.

Although the price is steep, Apple insiders believe it will become a status symbol.
This has completely turned into a public fight. New York University mathematician Tristan Buckmaster and Anthropic’s mathematician Levent Alpöge have privately collaborated over the past year, using AI such as Claude and Codex extensively to assist their research. In later proofs, they tackled several longstanding problems in the field—making a major leap forward based on prior work by others. However, in early September, rumors began circulating online that Anthropic’s Claude, using AI, had solved major open mathematical problems, and one source claimed that their research progress had already reached OpenAI. Buckmaster feared that OpenAI might rush ahead to announce the results based on this, so he proactively contacted people at OpenAI to explain that this was private collaboration and had nothing to do with the company. A few days later, Sebastien Bubeck and others at OpenAI spoke with him. They said their internal models had already produced roughly a 100-page mathematical proof. Then, Buckmaster said, the other side presented him with two options: either they publish their research results first, and OpenAI publishes theirs the very next day. Or Buckmaster would write a paper on his own, but he would have to remove Anthropic mathematician Levent Alpöge from the author list, on the grounds that Alpöge works for OpenAI’s competitor, Anthropic. So after Buckmaster refused, the other side—so it is said—asked him, “Why are you ruining your own career?”—the kind of workplace PUA remark. He felt pressured. In one burst of anger, he published the paper and a long statement early, which amounts to a full-on blow-up.
This has completely turned into a public fight. New York University mathematician Tristan Buckmaster and Anthropic’s mathematician Levent Alpöge have privately collaborated over the past year, using AI such as Claude and Codex extensively to assist their research.

In later proofs, they tackled several longstanding problems in the field—making a major leap forward based on prior work by others.

However, in early September, rumors began circulating online that Anthropic’s Claude, using AI, had solved major open mathematical problems, and one source claimed that their research progress had already reached OpenAI.

Buckmaster feared that OpenAI might rush ahead to announce the results based on this, so he proactively contacted people at OpenAI to explain that this was private collaboration and had nothing to do with the company.

A few days later, Sebastien Bubeck and others at OpenAI spoke with him. They said their internal models had already produced roughly a 100-page mathematical proof.

Then, Buckmaster said, the other side presented him with two options: either they publish their research results first, and OpenAI publishes theirs the very next day.

Or Buckmaster would write a paper on his own, but he would have to remove Anthropic mathematician Levent Alpöge from the author list, on the grounds that Alpöge works for OpenAI’s competitor, Anthropic.

So after Buckmaster refused, the other side—so it is said—asked him, “Why are you ruining your own career?”—the kind of workplace PUA remark.

He felt pressured. In one burst of anger, he published the paper and a long statement early, which amounts to a full-on blow-up.
Wonder who would buy a Huawei tri-fold with a price tag of over 20,000 yuan. Yesterday, Huawei’s Yu Chengdong said this phone can achieve physical anti-spying: you raise the left and right sides vertically, and only operate the center screen of the tri-fold. Great innovation 🤣
Wonder who would buy a Huawei tri-fold with a price tag of over 20,000 yuan.

Yesterday, Huawei’s Yu Chengdong said this phone can achieve physical anti-spying: you raise the left and right sides vertically, and only operate the center screen of the tri-fold. Great innovation 🤣
Everyone’s gotten faster. A boss who does AI drug discovery posted a hugely explosive paper yesterday. They fed huge amounts of data related to genes, proteins, diseases, and aging into an AI, and then the AI sorted through it on its own—identifying which protein is associated both with the lungs gradually hardening and scarring, and with several key aging pathways. In the end, it zeroed in on something called TNIK. You can roughly think of it as a switch inside cells. When this switch is turned on, cells are more likely to move toward scarring, inflammation, and aging. Once the switch was found, another set of AI began thinking about small molecules that can hold down this switch. This also means that instead of having to test tens of thousands of chemical structures as before, this time the computer drew molecular structures by itself. Then scientists chose a few of the computer-generated options to test—and ultimately developed this drug. So far, early results show that when the drug was given to patients with lung scarring for 12 weeks, those who didn’t take the drug continued to see lung function decline after 12 weeks. But among people who took the higher dose, average lung function not only didn’t drop—it actually increased slightly. Based on these results, the drug has moved into larger-scale trials, and behind all of it is AI driving the process.
Everyone’s gotten faster. A boss who does AI drug discovery posted a hugely explosive paper yesterday.

They fed huge amounts of data related to genes, proteins, diseases, and aging into an AI, and then the AI sorted through it on its own—identifying which protein is associated both with the lungs gradually hardening and scarring, and with several key aging pathways.

In the end, it zeroed in on something called TNIK. You can roughly think of it as a switch inside cells. When this switch is turned on, cells are more likely to move toward scarring, inflammation, and aging.

Once the switch was found, another set of AI began thinking about small molecules that can hold down this switch. This also means that instead of having to test tens of thousands of chemical structures as before, this time the computer drew molecular structures by itself. Then scientists chose a few of the computer-generated options to test—and ultimately developed this drug.

So far, early results show that when the drug was given to patients with lung scarring for 12 weeks, those who didn’t take the drug continued to see lung function decline after 12 weeks. But among people who took the higher dose, average lung function not only didn’t drop—it actually increased slightly.

Based on these results, the drug has moved into larger-scale trials, and behind all of it is AI driving the process.
Judging from cases around us, in recent years the best dating and matchmaking app is BOSS Direct Recruit. With strict criteria set in the background, and the algorithm continuously pushing you toward the person you want. Then through repeated in-person interviews and working together, you come to understand each other more deeply, and feelings develop.
Judging from cases around us, in recent years the best dating and matchmaking app is BOSS Direct Recruit. With strict criteria set in the background, and the algorithm continuously pushing you toward the person you want.

Then through repeated in-person interviews and working together, you come to understand each other more deeply, and feelings develop.
If this is true, then things are big. In a recent Goldman Sachs study on JD.com, JD.com's management said that even if the subsidy intensity for its food delivery business was reduced, it would still maintain an objective scale. The guy who did the research felt that this was not very realistic, because on the streets there really are fewer JD.com delivery riders after the subsidy war. He checked and found that many of JD.com's Flash Delivery and food deliveries are secretly being split into multiple orders. That way, even though users place a single food order, JD.com breaks it into several orders, making the data look better.
If this is true, then things are big. In a recent Goldman Sachs study on JD.com, JD.com's management said that even if the subsidy intensity for its food delivery business was reduced, it would still maintain an objective scale.

The guy who did the research felt that this was not very realistic, because on the streets there really are fewer JD.com delivery riders after the subsidy war.

He checked and found that many of JD.com's Flash Delivery and food deliveries are secretly being split into multiple orders. That way, even though users place a single food order, JD.com breaks it into several orders, making the data look better.
Multiple Alipay-certified employees confirmed that Amap’s internal team is currently trialing a “sweep-the-bombs” ranking list. Based on user reviews, restaurants, scenic spots, parking lots, and hotels can be placed on negative lists such as queue-and-avoid, experience-and-avoid, and hygiene-and-avoid.
Multiple Alipay-certified employees confirmed that Amap’s internal team is currently trialing a “sweep-the-bombs” ranking list. Based on user reviews, restaurants, scenic spots, parking lots, and hotels can be placed on negative lists such as queue-and-avoid, experience-and-avoid, and hygiene-and-avoid.
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