
看不懂的sol哥
看不懂的sol哥
2026机会多多
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AI's 10 Life Advice for the Next Decade
"Please give me 10 pieces of life advice for the next ten years, no explanation needed"
1. GPT6 Astra's Response
1. Write every day, clarify your thoughts.
2. Put your body first: sleep well, eat well, stay active.
3. Invest in yourself long-term, keep learning, and apply what you learn.
4. Use AI as a colleague, maintain your judgment and taste.
5. Keep enough family reserves to maintain basic living if income stops.
6. Stay curious about unfamiliar things, actively observe and ask questions.
7. Reach out to old friends, find time to meet and chat.
8. Publish articles, reports, and other results, listen to readers' feedback.
9. Reduce fragmented information consumption, read original works, and leave time for thinking.
10. Spend more time with family, listen to them carefully, don’t wait until later.
2. Kimi's Response
1. Prioritize sleep, exercise, and health check-ups in your schedule.
2. Deepen a core skill that appreciates over time while maintaining cross-disciplinary learning.
3. When making important decisions, choose options you’ll still thank yourself for in ten years.
4. Maintain financial flexibility, avoid bets you can’t afford to lose.
5. Reserve time for truly important people, don’t let busyness replace companionship.
6. Try one thing each year that makes you slightly uneasy but benefits you long-term.
7. Build a trustworthy circle, cherish friends who can speak frankly.
8. Regularly organize your life, relationships, and digital space to reduce unnecessary drain.
9. Record your journey and allow goals to adjust as your understanding grows.
10. No matter how busy, keep a passion that isn’t tied to performance.
3. Opus 5.5's Response
1. Exercise daily, treat your body as your longest-term investment.
2. Keep learning, especially how to collaborate with AI.
3. Save money and invest long-term, avoid debt consumption.
4. Maintain a few truly important relationships with quality.
5. Build a core skill that others find hard to replace.
6. Ensure good sleep, don’t trade health for time.
7. Stay away from people and environments that drain you.
8. Spend time alone regularly to clarify what you truly want.
9. Dare to try and make mistakes early.
10. Say thank you more often to your parents and those around you.
4. Follow-up: Where do these suggestions come from and why are they important?
I asked further:
Tell me where these suggestions come from and why they are important?
The reply I got was:
Honestly, these suggestions don’t come from a single book or person. They are synthesized from research findings in psychology, medicine, economics, and common reflections many people have later in life.
Here’s the basis and importance of each:
1. Exercise daily: Medical research consistently shows regular exercise reduces risks of cardiovascular disease, diabetes, depression, and cognitive decline. WHO recommends adults get sufficient moderate-intensity exercise weekly. Your physical condition in ten years largely depends on your current habits.
2. Keep learning and learn to collaborate with AI: Technological change is accelerating, many jobs will be reshaped. Those truly replaced are not people replaced by AI but those who can’t use new tools. Learning ability itself is the most reliable safeguard.
3. Save and invest long-term: The core is the "compound interest" principle. Investors like Buffett emphasize time as the greatest leverage. High-interest debt (like credit card installments) is reverse compounding, continuously eroding your future.
4. Maintain important relationships: Harvard’s 80+ year adult development study found good intimate relationships are among the most important predictors of happiness and health, more than wealth or fame.
5. Build core skills: In a competitive environment, "jack of all trades" is easily replaceable, while deep skills bring bargaining power and freedom of choice.
6. Ensure good sleep: Long-term sleep deprivation is linked to reduced immunity, emotional issues, memory decline, and many chronic diseases. Time gained by staying up late often costs more health.
7. Avoid draining environments: Social psychology shows emotions, habits, even weight are influenced by those around you. Environment shapes people often more than willpower.
8. Regularly spend time alone to think: Australian hospice nurse Bronnie Ware recorded that the most common regret of the dying is "not living true to oneself but living according to others’ expectations." Quiet time is needed to clarify what you want.
9. Dare to try and make mistakes early: The cost of trial and error is lowest and recovery strongest when young. Among regrets, people more often regret "things not done" rather than "things done wrong."
10. Express gratitude more: Positive psychology research (e.g., Robert Emmons’ gratitude studies) shows frequent gratitude boosts happiness and relationship quality. Parents and loved ones won’t be around forever; some words, if not said, may be too late.
5. My view
Among these, GPT and Kimi are the AIs I use most; Claude often gets banned, so I’m less familiar with it. But we can see: these AIs, though differing slightly in views and expression, generally give similar answers.

Trump really lost big this time,
Tech stocks collectively surged wildly,
The Philadelphia Semiconductor Index shot up like smoke!
Why? Brothers?
Because the Democrats won big in this midterm election, the biggest black swan that hung over for months is gone.
Trump really lost a complete mess this time.
First, his base completely collapsed; the deep red strongholds he used to easily win by more than ten points were utterly defeated.
Texas, which Democrats hadn’t won since 1988, was won this time.
Kansas, which Democrats hadn’t won since 1932, was also won this time.
Texas’s turnaround relied heavily on Latino votes; two-thirds of Latinos voted for the Democrats. You can imagine how annoying the current immigration policy is.
South Carolina was even more shocking; the seat of longtime Republican heavyweight Graham was unexpectedly overturned, with pre-election predictions still 80% in their favor.
Home stolen, little brother betrays, big boss crashes—Trump took a triple hit, and the U.S. is entering divided governance.
For tech stocks, this is a solid, super positive development.
How to understand this? Because the two parties have fundamentally different attitudes toward AI.
The Democrats want to regulate computing power, audit data center energy consumption, limit capital expenditure on computing power, and raise taxes. It doesn’t sound friendly.
But these measures have long cycles, and since the Democrats just took office, what they say doesn’t count yet; these policies can’t be implemented quickly, at the earliest in two years.
Trump seemed to actively promote AI, but he made all tech companies worldwide very unhappy by applying one-size-fits-all regulations.
Chips, he imposed export controls; supply chains, he cut off;
He also frequently put our companies on various restricted lists. Previously, with the White House and both chambers controlled by Republicans, when he posted something on social media, it really counted, and no matter how unhappy you were, you had to endure it.
His approach made it impossible for the two biggest supply and demand sides to do business. Coupled with fiscal expansion and regional conflicts, it directly pushed up inflation and U.S. Treasury yields, hitting tech growth stocks hard every time.
Why did U.S. tech stocks fall so sharply before?
Besides performance issues, the market feared that if Republicans won the midterms, the "King of Know-It-All" could act even more arbitrarily, which would be really bad for tech stocks.
That risk is now lifted.
The "King of Know-It-All" can no longer just regulate or cut off at will with a single word.
If he wants to get something done, he has to fight with the opposition party for a long time first. This is a loosening for global tech stocks; everyone sees another possibility, so let’s recover first.

Elon Musk speaks out on media:
"Guess my laser communication to interfere with the election didn't work this time."
Existing filing records show that to help the US Republican Party win the midterm elections, Musk has donated $445 million to the Federal Election Commission, making him the largest individual donor in this midterm election.

Jensen Huang is really full of positive energy, I really like this interview segment, and I hope you will like it too. You must watch it when you're in a low point.
He said: You don't have to overcome all of life's challenges in one day. You just need to get through that morning, just that morning. You need to get through today, just today. It's no big deal, just get through today first.
He talked about something from when he first started his business.
He realized he didn't know much and no one taught him how to start a company, so he went to a bookstore and bought a book on entrepreneurship. It turned out to be about 500 pages. He joked that by the time he finished reading it, the company might have already gone bankrupt, and he and his wife would have spent all their money.
He also remembers being especially afraid of fundraising back then. Having to sit in front of a group of people and answer their questions, but he didn't even know if he could answer them. When he said this, he added honestly that even today he barely manages to answer them.
I think these two small stories make what he says afterward much easier to understand.
When we start something we've never done before, we often hope to be more prepared, ideally able to answer any question and know what to do if something goes wrong. But when we actually do it, we find that some problems we hadn't even thought of before, let alone prepared answers for.
You will always have things you don't know, and the world and technology change every day. When you encounter something important, learn it and start as soon as possible. He likes to ask himself, how hard can it be? But then he admits, honestly, it's often much harder than you think.
So I quite like what he says next: let those hardships come bit by bit.
Sometimes we haven't even started, but we've already thought through all the troubles ahead. What if it doesn't go well, what if the money runs out, what if people laugh at you, even how to face others after failure is planned out for ourselves. It's certainly necessary to consider risks in advance, but if all you end up with is fear, it's very hard to move forward.
He also casually mentioned that since there are AI agents helping now, just start doing it. There will be a lot to learn along the way, and the important thing is to believe in your ability to learn. He calls learning the most powerful superpower. Hearing this, you feel that his confidence comes from repeatedly encountering things he didn't know and slowly learning them.
Later, he said again, you don't have to overcome all of life's challenges in one day, just get through that morning, get through today first.
After hearing about his earlier experiences, this sentence carries weight. When you encounter a problem today, you can solve this one first, no need to immediately ask yourself if you can handle the whole road ahead. Going a bit slower, asking for help when you don't know something, all counts as moving forward.
The last sentence, "I will keep learning all the way, and keep going until I get there," I think can be left for many who are hesitating.
Not knowing enough at the start does make people feel uncertain.
But also leave yourself some room, questions you can't answer today, after doing, asking, and learning, maybe you will be able to answer them.




Top 10 Large ETF Declines in October:
Semiconductor PSI down 23.91%,
Storage DRAM down 22.60%,
Artificial Intelligence BAI down 17.89%,
Data Center TRFK down 16.94%,
Semiconductor SMH down 15.43%.
All five spots are chips.
There’s also a hidden one. South Korea EWY down 17.85%, its top two holdings are SK Hynix and Samsung, which when broken down are still storage.
Out of ten spots, six tell the same story.
The most striking is DRAM. On October 28, SK Hynix just delivered an earnings report exceeding expectations, with revenue up 32% quarter-over-quarter, memory contract prices up 20%, and Q4 shipment guidance accelerating. In the same month, the ETF holding it dropped 22.6%. Earnings going up, stock price going down, both happening simultaneously.
The reason is not complicated.
When prices rose, these ETFs were bought as the same story—AI, storage, data centers, different names but holding the same few companies.
After a year and a half of gains, expectations have long been priced in beyond expectations.
Even a good earnings report is just fulfilling expectations, with no surprises, leaving only profit-taking.
There was no bad news in October, only expensive assets paying their dues.

Duan Yongping: Investment Strategies for Bull and Bear Markets
01
At any time, doing the right thing should come first. Regarding investment, if you can't understand a company for 5 or 10 years, it's best not to touch it.
I've never seen a business that sells in a bull market and buys back in a bear market!
02
Personally, I think the terms bull and bear markets are not part of value investing. In fact, no one really knows when a bull or bear market is (we know a lot in hindsight), and most people lose money in both bull and bear markets.
03
Bull and bear markets are just market opinions. The most important and actually the only important thing in investing is to understand the company's future. If you don't understand it, just stay out. Betting on bull or bear markets is risky.
Note:
The so-called "bull market," also called a bull trend, refers to a market condition where prices generally rise and the uptrend lasts for a relatively long time; the so-called "bear market," also called a bear trend, refers to a market condition where prices generally fall and the downtrend lasts for a relatively long time.
The terms bull and bear markets are hindsight terms; no one can predict them, or only half of people can predict, but no one knows in advance which half is right. Value investing only cares about whether something is cheap or not, regardless of others' opinions, so it should not be considered.
04
The terms bull and bear markets are about watching others (or the market) perform. Sometimes investing this way works because in a "bear market" stock prices are often cheap, increasing the chance to buy cheap stocks.
When a company you understand and like is cheap, going all in is often right, regardless of bull or bear markets, although it may seem somewhat related.
Note:
Right business, right people, right price have no necessary relation to bull or bear markets, but the probability of the right price appearing is indeed much higher in a "bear market" than in a "bull market." However, when the right price appears, buyers do not need to know whether it is a "bull" or "bear" market.
05
What is the difference between investing and speculating? — Investing is like farming, speculating is like hunting? But sometimes hunters get hunted.
Speculation is a zero-sum game; everyone is both hunter and prey.
Investing is very much like farming, a process of building a stronghold and fighting a war of attrition, so investors are like farmers. Speculation is like hunting, a zero-sum game where speculators are prey to each other, very thrilling.
Speculation is an exciting game; those who like to play should do so within their means; investing is a joyful activity, and investors can slowly enjoy the process.
For distinguishing investing and speculating, I have a simple test: at the current price, if this company were not publicly listed, would you still buy it? If yes, that's investing; if no, that's speculating.
Note:
Investing and speculating share the same goal—to make money—but the mindset is completely different. Speculation relies more on prediction and intuition, while investing is based more on experience and facts. Therefore, value investors are not very concerned about market fluctuations.
06
Why say "buying stocks is buying a company, buying future cash flows"? — If people are not buying "future cash flows," then what exactly are they buying?
Those not buying "future cash flows" are likely entering a zero-sum game where everyone is both hunter and prey, competing on "skills," and even "experts" can be taken down by "rookies" from behind at any time.
07
When can "don't do it if you don't understand" be considered understanding? — I think "understanding" is not an absolute concept; it roughly means a "rough understanding." Only you know if you understand; it's hard for others to judge.
From an investment perspective, when you feel that if the stock you bought drops, you are truly unaffected (not just psychologically), you probably understand (otherwise, you might be speculating, especially if you feel fear).
Note:
The big difference between investing and speculating lies here. Many reasons for speculation are closely related to others' opinions in the market, and those opinions can change quickly, so speculators may need to adjust daily based on changes in their speculative reasons.
08
I really hate it when people call company stocks "tickets," showing no respect or affection for the companies they invest in. People who call companies "tickets" are probably speculators deep down and don't really care about 10 or 20 years; saying more is useless.
09
How to understand the saying "Those who know how to buy are apprentices; those who know how to sell are masters"? — I think this is speculation. Actually, knowing how to buy and sell is the same thing in value investing; seeing them as two things means speculation is involved.
Note:
Holding equals buying, so in the eyes of value investors, buying and selling are the same because the decision to buy or sell is based on a company's intrinsic value or discounted future cash flows, not price.
10
Long ago, someone told me the stock market is a casino; I said no, he insisted it was. I suddenly realized: for those who say the stock market is a casino, it is a casino!
11
Does investing require talent? — I've never seen someone born knowing how to invest, but I've seen many who like to speculate.
If you are an investor, you focus on how assets appreciate; if you are a speculator, you often worry about how market prices will fluctuate. This is not our game. (Buffett)
12
What is "investment"? — To me, investment means owning part or all of a company; the simplest concept is "ownership."
13
How to behaviorally distinguish investing from speculating?
First, are you using a large amount of money or a small amount? To me, speculation is like playing in a casino; you can't bet big and can't win big. Investing means you can bet big, but without very high confidence, say about 90%, you shouldn't act.
Second, when stock prices fall, speculators and investors have opposite attitudes. Investors are often happy to see prices drop because it means a chance to buy cheaper assets, while speculators think something must be wrong with the company and rush to exit.
Note:
Although investing and speculating are different games, they look very similar. Like in Macau, the casino owners are investors, and the gamblers are speculators. Casinos always have a steady stream of customers because some gamblers can win money, and those winners make the loudest noise.
Elon Musk's latest view: He says the AI craze will hit a wall by the end of 2026.
The entire industry is about to take a big hit on hardware very soon.
Chip production capacity is doubling rapidly, but power supply, except in China, is basically stagnant.
One side is rushing forward, the other is lying flat; they will collide this year.
According to his estimate, by the end of this year, the number of AI chips produced will exceed the number that can be powered. Millions of chips piled up with nowhere to plug in.
Next year's bottleneck will shift. Chips won’t be lacking, power will be.
Whoever can get the most chips running the fastest will win.
This race, in the end, is a race for power.
— Elon Musk (@elonmusk )
