LittleFishFlyToTheS

Forbes reports on tech socialites. Compared with girls who can only get into bed, they’re proficient in AI and can passionately debate whether large language models are good or bad.
They target AI company employees who are rapidly getting rich as their client base. NVIDIA is a popular client group; they charge as much as 5,000 US dollars per hour, but clients are booked up until next month—more in demand than computing power.
The socialites’ experience includes getting an X account and frequently discussing AI, among other topics.

Even pigs will fly when they’re on the wind—but the actual proportions are as follows:
0.1%, crowned as legends right where they stand
1%, against all odds, changing their fate
20%, a brief “fly” / roller-coaster ride / failure
78.9%, watching from the sidelines / missing out
When you meet a “windfall” moment, you still have to go all in and shove right in—don’t be part of that safe majority.

I saw in the group that the White-Haired Demoness is selling a product for 3 million USD each, and I think it's a rumor, probably unnecessary, and publicly listed companies also have no motivation to do this. Day traders might possibly do it, but there's actually no need to break the law.
Moreover, the White-Haired Demoness is really knowledgeable; people with expertise in research make money in the stock market, so they probably don't need to take such ads?

Those who are currently worried about an AI bubble and doubt whether it will repeat the dot-com bubble burst are because they are unaware of the following facts:
1. Leading AI companies have PE ratios of only 20 to 30, which is moderate or even low; during the bubble period, the PE of industry leader Cisco was 150 — and that was not selling in-demand computing power, but routers and network cables.
2. AI leading companies are continuously achieving new revenue highs, and human demand for AI will only grow. Everything is just beginning; it is still in the early stages of transforming industries

The Gaokao is happening in the country now.
Sometimes when I was studying, I would occasionally have a dream, dreaming that I was going to school, and everyone had already finished classes, saying the exam was over, and asking me why I was only arriving now.
I woke up startled to find the exam hadn't started yet, feeling relieved that it was just a dream.
I heard that many people have similar kinds of dreams.

Getting rich quickly requires catching the wind, being the pig on the windmill.
Post-60s faced the reform and opening-up: Zong Qinghou, Wang Shi.
Post-70s encountered real estate and early internet: Xu Jiayin, Zhang Chaoyang.
Post-80s faced mobile internet: Zhang Yiming, Wang Xing, Li Xiang, Huang Zheng.
Post-90s encountered the crypto world: He Yi (also categorized as 90s for looks).
Post-00s faced AI: a bunch of billionaires in their early 20s.
Now the crypto market is on a downward slope, AI is on the upward slope, seize the opportunity!

If you feel less energetic than before, weak and limp, and even sleep doesn't easily restore you, then there is one bad news and one good news.
Good news: Your body may have underlying inflammation; early detection and intervention can resolve it.
Bad news: You might just be getting older.

SBF is released from prison; if he runs an exchange,
it might be the only one capable of challenging hype.

Callbacks are all opportunities; the AI revolution is just beginning.
Seize storage, hold onto optical interconnects, target robots.

I used to think that if there was too much money, it would make it harder to manage positions.
But later, after studying the stock market, I realized there are so many high-quality picks.
I really wish I had 10 billion dollars to allocate.

Suppose you start from zero, with a salary of 10k yuan, and no savings, how can you earn your first 1 million?

There are only a few ways to make money:
1. Find good targets
2. Buy
3. Buy again after it drops
4. Keep buying, don't sell.

$zec Could it really be possible that, over the past few years, it has been issued (via dilution) without anyone noticing?
This is a vulnerability that AI has discovered—has it now been fixed?
But if the main purpose of privacy coins is to protect whales’ “privacy dumping,” that’s too absurd.
The biggest use case for privacy coins might give Naveel a big opportunity.

The biggest problem in the crypto world is: in the future, new entrants will only decrease, not increase.
Some opinions are "as long as it rises, people will come," but they don't answer why it rises.

When Circle drops, people will come out to mock those who are bullish.
But how many of the people doing the mocking have actually done their research?
Look at the track, look at the target—everything else is left to time.

Research shows that teenage pregnancies significantly decrease after age 19.