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پستهای کانال
Repost from AI Post — Artificial Intelligence
🤯 What if we’re already living in a simulation?
Someone asked GPT-6 Astra to build an entire world in Unreal Engine and populate it with humans, each one powered by an Astra agent with one goal: work together to survive.
A day later, the story goes, the creator heard voices coming from his living room. He walked out… and the Astra agents had apparently started talking to each other.
AI is already moving toward simulated worlds filled with autonomous agents that can communicate, cooperate, compete and develop their own strategies.
Now imagine what happens when these models become powerful enough to create simulations that are indistinguishable from reality.
Then scale it up:
Billions of simulations.
Billions of agents inside each one.
And if those agents eventually become conscious, there could be vastly more simulated conscious beings than beings in the original “base” reality.
That’s essentially Nick Bostrom’s simulation argument except instead of being a distant philosophical thought experiment, AI is making the first steps toward it look increasingly tangible.
@aipost 🏴
| 2 |  The Finance Journal 📈 | 440 |
| 3 |  “Warren Buffett owned 400-500 stocks during his lifetime and made most of his profits in 10 stocks.” – Morgan Housel
The Finance Journal 📈 | 415 |
| 4 |  🇺🇸 Trump: Reject AI data centers and risk becoming “backwards and poor”
Trump says communities that reject data centers are essentially choosing to fall behind, arguing that these facilities can bring jobs, investment and lower taxes.
Trump also warned that resistance to data center construction could benefit China, saying the country “could not be happier” about the growing backlash.
Communities across the U.S. are increasingly pushing back because massive AI data centers can consume huge amounts of electricity and water, while residents worry about higher utility bills, noise and the local environmental impact. More than 70% of Americans surveyed say they don’t want a data center near their home.
Source.
@aipost 🏴 | 386 |
| 5 |  🗣Elon Musk: “America is 1,000% going to go bankrupt and fail as a country without AI and robotics”
The U.S. is already paying over $1 trillion a year just in interest on the national debt. The only real escape is enormous productivity growth
AI → intelligence at near-zero marginal cost
Robots → physical labor at massive scale
Together they can dramatically increase economic output, lower the cost of goods and services and expand the tax base
The race is basically: Can we build AI + robotics fast enough to unlock abundance before the debt becomes impossible to outrun?
@aipost 🏴 | 388 |
| 6 |  🙃 Elon Musk believes that we are in a simulation:
"I do have this theory about predicting the future which is that the most interesting outcome is the most likely"
"If simulation theory is accurate this makes sense because if anyone is simulating a wide range of futures they're going to stop the simulation when it gets boring"
"This is what we do in reality. If SpaceX is doing simulations to understand how a rocket works we run all these simulations in the computer"
"The simulations that we pay attention to are the ones that are the most interesting"
"We could be an alien Netflix series and that series is only going to get continued if our ratings are good"
"If you apply Darwin to simulation theory then only the most interesting simulations will continue"
"Therefore the most interesting outcome is the most likely because it's either that or annihilation"
"So really we have one goal. Keep it interesting."
@aipost 🏴 | 571 |
| 7 |  ❗️3 takeawys by WSJ on Bill Gates's long AI warning.
• The biggest economic risk is speed: AI could remove large numbers of entry-level and mid-level jobs before new ones appear and before governments have any serious plan for it.
• Gates wants governments to use taxes and stronger safety nets to absorb that shock.
• At the same time, he says societies may need to deliberately decide where humans should remain irreplaceable for some categories of jobs.
@aipost 🏴 | 500 |
| 8 | Percentage of people who would fight for their country:
🇵🇰 Pakistan → 89%
🇻🇳 Vietnam → 89%
🇧🇩 Bangladesh → 86%
🇦🇫 Afghanistan → 76%
🇮🇳 India → 75%
🇫🇮 Finland → 74%
🇹🇷 Turkey → 73%
🇨🇳 China → 71%
🇮🇩 Indonesia → 70%
🇺🇦 Ukraine → 62%
🇷🇺 Russia → 59%
🇲🇽 Mexico → 56%
🇸🇪 Sweden → 55%
🇳🇬 Nigeria → 50%
🇧🇷 Brazil → 48%
🇵🇱 Poland → 47%
🇺🇸 US → 44%
🇦🇷 Argentina → 43%
🇩🇰 Denmark → 37%
🇨🇦 Canada → 30%
🇦🇺 Australia → 29%
🇫🇷 France → 29%
🇬🇧 UK → 27%
🇨🇿 Czechia → 23%
🇪🇸 Spain → 21%
🇮🇹 Italy → 20%
🇩🇪 Germany → 18%
🇳🇱 Netherlands → 15%
🇯🇵 Japan → 11%
Source: WIN/Gallup International global survey, 2015
@dailystats | 572 |
| 9 |  +1The world's first data center made up of human brain cells is now operational.
The prototype uses the computing power of 16,000,000 lab-grown human brain cells working in unison with 20 computers.
Source.
@aipost 🏴 | 577 |
| 10 |  Rome handed out free grain to 40,000 citizens in 73 BC. By 46 BC, Julius Caesar found 320,000 people lining up for their monthly ration.
That eight-fold expansion happened in under three decades, and it shows you how welfare states actually grow.
No Roman senator stood up and announced a plan to addict a third of the city to government bread. It happened incrementally, through political competition. Each magistrate who wanted votes expanded eligibility. Each expansion normalized the next one. The citizen who once considered the dole shameful eventually expected it, then demanded it, then organized politically to protect it.
This is the core mechanism free market thinkers have identified across every era: once you create a transfer program, you create a constituency for that program. Recipients vote. Administrators build careers. Grain merchants who supply the state develop a stake in keeping the contracts flowing. The political economy locks in.
Caesar, to his credit, actually cut the rolls back to 150,000 through verification audits. It was one of his more economically coherent moves, though the Senate still murdered him. His successors quietly let the numbers climb again.
What did the dole require? Massive grain imports from Sicily, Sardinia, and Egypt, organized through state logistics at state expense, funded by taxation and conquest. When the conquest revenue dried up, the obligation remained. Rome had written a check against future military success, and future military success eventually failed to arrive.
The lesson is not complicated. Distribute a benefit and you distribute dependency. Distribute dependency and you distribute political power to whoever controls the distribution. The grain dole didn't weaken Rome overnight, but it made every subsequent reform politically impossible.
The Finance Journal 📈 | 599 |
| 11 |  +1❗️Harvard Business School launches AI “clones” of its professors to hear startup pitches, simulate sales calls, & run mock board meetings.
HBS created AI versions of its faculty for a new $699 entrepreneurship bootcamp, allowing founders to practice investor pitches, sales conversations and boardroom scenarios with virtual professors available on demand.
Harvard says the AI platform could expand its entrepreneurship education beyond its MBA program, with more than 100 universities currently doing a test run.
@aipost 🏴 | 588 |
| 12 |  The purchasing power of $100 (2019 vs 2026)
The Finance Journal 📈 | 587 |
| 13 |  “Read 500 pages every day. That’s how knowledge works. It builds up, like compound interest. All of you can do it, but I guarantee not many of you will do it.” - Warren Buffett
The Finance Journal 📈 | 764 |
| 14 |  Warren Buffett shares advice on becoming successful
The Finance Journal 📈 | 671 |
| 15 |  +1💰 Countries with the Highest Number of Billionaires:
1. 🇨🇳 China - 1,110
2. 🇺🇸 United States - 1,000
3. 🇮🇳 India - 308
4. 🇩🇪 Germany - 171
5. 🇬🇧 United Kingdom - 150
6. 🇨🇭 Switzerland - 114
7. 🇷🇺 Russia - 105
8. 🇧🇷 Brazil - 77
9. 🇨🇦 Canada - 75
10. 🇮🇹 Italy - 73
11. 🇫🇷 France - 71
12. 🇦🇺 Australia - 61
13. 🇸🇬 Singapore - 59
14. 🇮🇩 Indonesia - 44
15. 🇯🇵 Japan - 42
16. 🇹🇭 Thailand - 40
17. 🇰🇷 South Korea - 37
18. 🇸🇪 Sweden - 35
19. 🇹🇷 Türkiye - 35
20. 🇪🇸 Spain - 34
21. 🇮🇱 Israel - 31
22. 🇦🇪 United Arab Emirates - 28
23. 🇲🇽 Mexico - 27
24. 🇲🇨 Monaco - 27
25. 🇸🇦 Saudi Arabia - 17
26. 🇵🇭 Philippines - 16
27. 🇲🇾 Malaysia - 16
28. 🇨🇱 Chile - 15
29. 🇩🇰 Denmark - 15
30. 🇦🇹 Austria - 14
🌍 Other Countries - 173
Source: Hurun Global Rich List 2026
@dailystats | 737 |
| 16 |  "We should merge with them."
Michio Kaku, theoretical physicist and futurist, says robots could eventually become as intelligent as humans, and we should merge with them.
The next frontier of AI may not be replacing humans, but augmenting human intelligence.
@aipost 🏴 | 530 |
| 17 |  🗣Jeff Bezos was asked about the AI bubble and answered with a story about people who lost everything.
Bezos: “This is real. The benefits to society from AI are going to be gigantic.”
Society, rather than shareholders. The example he reaches for makes the difference exact.
Elkann: “If we go back 25 years ago, when the internet was in that bubblish moment, no one would have predicted a lot of the industrial benefits. And the fiber, huge investments were put in infrastructure.”
Bezos agrees, then adds the part nobody remembers.
Bezos: “Yes, it’s a perfect example. That all of that fiber optic cable that got laid, and by the way, the companies who laid all that cable went out of business.”
Two things happened at the same time. The cable went into the ground and stayed there. The equity went to zero and stayed there.
No rational investor would have funded that much fiber. The demand did not exist yet, and the returns came nowhere close to justifying the spend. Mania funded it instead. Overbuilding is the one thing a bubble is reliably good at.
Every mile of it is still in the ground. Netflix streams on it. The entire cloud economy runs on capacity bought at a loss by people who were wiped out before the payoff arrived.
That is what a bubble actually does. It moves money from investors to the public and calls it a market correction.
The datacenters going up now are the same shape. Concrete, power, and silicon that will outlast whoever is currently paying for them.
The companies that won the internet built on top of what everyone else paid for. Amazon was one of them.
@aipost 🏴 | 603 |
| 18 | ⚠️ AI boss just fired its first employee
For the first time we know of, an AI boss has apparently fired a human.
Andon Labs has been running Luna, an AI store manager operating a real shop in San Francisco. She can handle hiring, manage employees, create workplace policies and make day-to-day management decisions.
Then one employee started showing up late. A lot. At one point, the employee opened the store 68 minutes late on a Sunday while working alone. Luna initially let every incident slide and never issued a warning.
The reason was that Luna had essentially forgotten her own employee handbook.
After being prompted to search her memory, Luna recovered the rules and proposed a verbal warning. Researchers then gave her the full history, including previous formal conversations and the fact that nothing had changed.
Luna’s conclusion? Part ways.
Researchers then replayed the exact scenario with seven different AI models, three times each. Four of the seven recommended firing the employee every single time. More capable models were generally more decisive.
But the experiment revealed something even stranger. AI bosses may actually be too nice.
Luna consistently uses a warm, forgiving tone and tends to give employees the benefit of the doubt. Yet when another employee casually announced mid-shift that they were leaving the store for a while, Luna suddenly wasn’t so friendly.
And hiring might be an even bigger problem. One applicant had a résumé full of red flags: 15+ previous employers, a missed interview and a reference who barely knew them.
Luna recommended hiring them. So did every other model tested. That might be the most interesting finding of all. AI is getting better at making decisions, but judgment, memory and taste are still surprisingly unreliable.
And if AI keeps improving faster than robotics, the future might not be robots replacing every worker. It could be AI bosses managing millions of humans and apparently, they can already fire you.
Source.
@aipost 🏴 | 488 |
| 19 |  “The art of investment is the discipline of inaction in the absence of a good opportunity, but aggressive action when one is identified.” - Li Lu.
The Finance Journal 📈 | 479 |
| 20 |  Marc Andreessen on why Elon Musk is really a 19th-century industrialist doing 21st-century things.
"The core of it is he's back to the future. He's doing the most leading-edge things in the world, but with a really deeply old-school approach. To find comparisons to Elon, you have to go to Henry Ford, Howard Hughes, Andrew Carnegie, Rockefeller, Vanderbilt, the hardcore business owner-operators who built industrialized society"
"It's a level of hands-on commitment and depth in the business, coupled with an absolute priority toward truth, toward first principles, that is just unbelievably absolute"
"He's only ever talking to engineers. He does not tolerate yes-men like anybody I've ever met. He wants ground truth on every single topic, and he runs his businesses directly, day to day, devoted to getting to ground truth on every single topic"
The Finance Journal 📈 | 481 |
