Take one #Bitcoin and be happy 🍸🤑😎 🌟 The ultimate crypto card EtherFi Cash: Staking Rewards, High Cashback, & Easy Crypto Spending 📲
Liquid ETH Ecosystem
Joined October 2015
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19 million views. 92,000 likes. One follow-up post at a time.
A pretraining researcher with 3 years inside OpenAI and Anthropic quit today, racking up 105 million views by sunrise.
3:04 AM. One post. No warning.
Jacob Coxon spent those 3 years split between two labs. Today he walked out of both races at once.
13,000 replies within hours. 597,000 likes. 105.3 million views before breakfast.
His claim: the people building this technology believe it could kill everyone by the end of the decade. Not a marketing line. A private fear that only shows once the cameras turn off.
At OpenAI, he says, many never internalized the stakes. At Anthropic, they did — and kept racing anyway. Neither lab trusts the other to stop first.
He calls the current plan a gamble launched from "a private company's Slack."
Then he turns the question on everyone still inside: kick off a superintelligent training run you don't understand, or use this moment to demand different conditions.
De Nederlandsche Bank moved 86 tonnes of gold out of North America.
59 tonnes: sold on the exchange in New York, bought back instantly in London. No shipping, no melting, no cost.
27 tonnes: flown and driven from DNB's Zeist vault straight into the Bank of England's vaults.
London now holds 32.1% of Dutch gold reserves. New York's share dropped from 31.3% to 18.5%. Ottawa: 18.5%.
The bank's own words: "crisis preparedness" for "geopolitical unrest."
Total Dutch reserves: 612.4 tonnes, worth $83.6 billion. Only 86 tonnes moved — not "all reserves."
When a central bank moves gold to the most liquid market instead of the closest one, it's not hiding money. It's making sure it can sell fast if it has to.
🚨Ray Dalio Warns They're Going to MONETIZE THE DEBT & Capital Will FLEE TO GOLD⚠️
“The debt problem is followed by DEVALUATION OF THE CURRENCY‼️”
"When bonds become unnattractive such as now, & there is 0% or negative interest, alot of creation of debt & alot of creation of money- that drives that into other assets (like stocks or gold)...
⚡️IT IS THAT KIND OF TIME THAT WE'RE IN!"
🌋"Next year & the year after-no matter what- we're going to have LARGE DEFICITS. We're going to produce ALOT of debt, & we will MONETIZE THAT DEBT.
That debt will have a NEGATIVE REAL RETURN, & therefore people will borrow in it rather than own it, & THEY WILL MOVE TO OTHER ASSETS!"
Take1Coin retweeted
You have twenty dollars and two things you want. Pizza. Cookies. The money runs out before the wanting does.
MIT's Jonathan Gruber opens his intro economics course with exactly this setup. Not because lunch matters. Because this one tradeoff exposes the entire logic behind every choice you'll ever make.
The term is utility maximization. Sounds dry. It isn't.
Gruber sketches something called indifference curves — a map of every combination of two things that leaves you equally satisfied. Two pizzas, one cookie. One pizza, two cookies. Same happiness, different mix. But add more of both, and you're always better off. That part never flips.
Then the catch. Every additional unit delivers less joy than the one before it. The first bite of pizza when you're starving isn't the fifth. Economists call it diminishing marginal utility. You call it "I'm stuffed."
He tells a story from graduate school — a friend torn between Princeton, Santa Cruz, and the IMF. Not choosing the best department. Not choosing the best city. Choosing between two separate axes that couldn't be compared directly.
The IMF won. Not because it dominated on either dimension alone — because it scored well enough on both at once.
That's the part almost nobody names out loud: real decisions are never single-axis. You're never optimizing one thing. You're always balancing several at once.
And the people who intuitively trace their own indifference curves — who see the tradeoff instead of just the variable — end up making choices that look irrational to everyone still solving for one number.
August 29, 2026.
A robotic taxi without a steering wheel, mirrors, pedals, or driver earned its first dollar.
Remember this date. It's like man landing on the moon, but for robots.
Take1Coin retweeted
The PC you’re using today is about to feel as outdated as a flip phone.
Jensen Huang just unveiled NVIDIA’s vision for the next generation of personal computing.
Not another faster laptop.
A personal AI supercomputer.
• 768 GB of memory
• 20 petaflops of AI performance
• 8 TB/s memory bandwidth
• Local AI agents running 24/7
• Windows + NVIDIA CUDA
• AI that can work across your files, apps, devices and home
And Jensen’s prediction is even crazier:
Your PC may stop feeling like a “computer.”
It could become more like R2-D2 or C-3PO — a personal AI that lives in your home and continuously gets things done for you.
The smartphone didn’t just make phones better.
It changed what a “phone” meant.
NVIDIA believes AI will do the same to the PC.
The PC isn’t disappearing.
It’s becoming something completely different.
The AI computer era starts now. 👀
Take1Coin retweeted
I really like the way the update looks @ether_fi.
Now I can easily exchange my USDC for the assets I'm accumulating with the DCA strategy.
You have twenty dollars and two things you want. Pizza. Cookies. The money runs out before the wanting does.
MIT's Jonathan Gruber opens his intro economics course with exactly this setup. Not because lunch matters. Because this one tradeoff exposes the entire logic behind every choice you'll ever make.
The term is utility maximization. Sounds dry. It isn't.
Gruber sketches something called indifference curves — a map of every combination of two things that leaves you equally satisfied. Two pizzas, one cookie. One pizza, two cookies. Same happiness, different mix. But add more of both, and you're always better off. That part never flips.
Then the catch. Every additional unit delivers less joy than the one before it. The first bite of pizza when you're starving isn't the fifth. Economists call it diminishing marginal utility. You call it "I'm stuffed."
He tells a story from graduate school — a friend torn between Princeton, Santa Cruz, and the IMF. Not choosing the best department. Not choosing the best city. Choosing between two separate axes that couldn't be compared directly.
The IMF won. Not because it dominated on either dimension alone — because it scored well enough on both at once.
That's the part almost nobody names out loud: real decisions are never single-axis. You're never optimizing one thing. You're always balancing several at once.
And the people who intuitively trace their own indifference curves — who see the tradeoff instead of just the variable — end up making choices that look irrational to everyone still solving for one number.
Federal Reserve economist opens a lecture with a single slide: two identical bakeries, same street, same rent, same flour supplier.
One goes bankrupt in year three. The other is still open forty years later.
He asks the room why. Every hand goes up. Every answer is wrong.
He draws a line through both P&L statements. Same revenue. Same costs. Same margin. The only difference is eleven days.
That's how long the surviving bakery could operate with zero income before touching a single dollar of debt. The other one had four.
He calls it the survival runway, not the emergency fund. Emergency fund sounds optional. Survival runway sounds like what it is: oxygen.
Then he pulls up FDIC data. 82% of small business failures aren't caused by bad products or bad customers. They're caused by running out of cash while waiting on cash that's already owed to them.
The business didn't fail. The timing did.
He writes one line on the board and underlines it twice: Profitable and dead are not opposites.
Every founder in the room goes quiet.
This isn't a budgeting tip. It's the difference between a business that compounds for forty years and one that becomes a cautionary case study in someone else's lecture.
Save this before your next slow month convinces you it's a marketing problem.
Many people know the saying: "Buy the rumor, sell the news"
Here's a visual representation of what it looks like.
Donald Trump - NEWS
Brad Garlinghouse - RUMOR
What do you think about it?
Finally, "God's candle", we waited. Similar candles almost always indicate a global reversal of sentiment.
bitcoin:native Fasten your seat belts.🚀
Endowment Investing Secrets: Yale's Diversification Strategy Revealed
Discover how Yale's endowment investing strategy revolutionized diversification in the mid-1980s. Learn why traditional portfolios failed basic common sense tests and how a new path to sensible diversification and equity exposure was forged.
David Swensen took $1 billion and turned it into $16.7 billion using three ideas that fit on a napkin. He did not pick winning stocks.
He did not time the market. He did not use a secret formula. He diversified, he rebalanced, and he never panicked.
He ran Yale's endowment for 25 years. When Barron's attacked his model during the 2008 crisis, he carried the article in his pocket like a receipt he planned to return.
The data returned it for him.
Yale's 20-year return: 13.1% per annum. Average university endowment: 8.8%. The gap created $12.1 billion in added value. Not from genius trades. From not making stupid ones.
Swensen proved something the article below gets exactly right. There are only four engines of wealth. Most people run one. Labor.
They never turn on the second.
The ones who do still lose. Morningstar studied every U.S. mutual fund category over a decade. All 17 categories. Investors earned less than the funds they invested in. They bought after rallies. Sold after crashes.
The top 10 internet funds returned 1.5% annually across the bubble. Investors lost 72% of what they put in. Same funds. Same period.
Timing is not a strategy. It is an emotion with a brokerage account.
Swensen's advice for individuals is six words. Index funds. Automate it. Do not touch.
That is the entire second engine. The math is free. The discipline is the only part that costs anything.
Zero-Sum Game: Why Active Investing Loses Money
Discover why active investing is a negative-sum game, with Wall Street siphoning off profits through fees and commissions. Learn how asset allocation impacts your returns. Understand the true cost of playing the investment game.
David Swensen didn’t need a crystal ball to build Yale’s fortune.
He took roughly $1B and helped turn it into $16.7B.
No stock-picking magic.
No market-timing tricks.
No secret Wall Street formula.
His playbook was almost boring:
Diversify.
Rebalance.
Stay invested.
That’s it.
For 25 years, Swensen ran Yale’s endowment.
During the 2008 crash, critics attacked his strategy. He reportedly kept one of those articles in his pocket.
Then the numbers did the arguing for him.
Yale delivered roughly 13.1% a year over 20 years, versus about 8.8% for the average university endowment.
That difference compounded into billions.
Not because Swensen made perfect trades.
Because he avoided making emotional ones.
And that may be the biggest investing lesson of all:
"You don’t need to be brilliant to build wealth.
You need to stop sabotaging yourself."
Investors routinely buy after markets explode and sell after they crash.
Same assets.
Same markets.
Different behavior.
The market doesn’t require you to predict the future.
It requires you to stay in the game long enough for compounding to work.
"The strategy can be simple.
The hard part is not touching it."
I really like the way the update looks @ether_fi.
Now I can easily exchange my USDC for the assets I'm accumulating with the DCA strategy.
EtherFi Cash just got a serious upgrade.
This isn’t just a redesign. The goal is to turn EtherFi into one place for your entire financial stack.
Here’s what’s changing:
• Hold, earn, spend, trade, borrow & send from one app
• Trade tokenized stocks, metals & crypto
• Access Aave markets on Optimism
• Borrow against your portfolio without selling your assets
• Borrow at around 4%
• Use borrowed funds for spending, transfers or new investments
• 3% cashback on everyday card spending
• Up to 4% cashback for VIP members
• 50+ supported tokens across 15 networks
• Fiat accounts in 30+ currencies
• New on/off-ramps and payment options
• Apple Pay, Cash App, LemonPay and more
And there’s a new membership system:
Core → Luxe → Pinnacle → VIP
Higher tiers unlock better cashback, cards, airport lounge access, discounts and exclusive opportunities.
VIP gets up to 4% cashback, a Gold card and curated venture access.
There’s also an upcoming account protection program covering up to $500K.
And perhaps the most interesting part:
ETHFI buybacks are planned to come from every product and revenue stream.
EtherFi is clearly trying to move beyond being “just another crypto card.”
The bigger question:
Can one app actually replace enough of your traditional banking stack to make you stop using a bank?
The next generation of the ether.fi crypto neobank is live.
Earn, trade, borrow, spend. One app to replace your traditional bank.
What’s new:
→ Tokenized stocks and metals trading
→ An integrated @Aave market on @Optimism, borrowing against your full portfolio at ~4%
→ New on and off-ramps support over 30 new currencies
→ New payment methods: Cash App, Apple Pay, LemonPay, and more
→ Programmatic ETHFI buybacks from every product and revenue line
The PC you’re using today is about to feel as outdated as a flip phone.
Jensen Huang just unveiled NVIDIA’s vision for the next generation of personal computing.
Not another faster laptop.
A personal AI supercomputer.
• 768 GB of memory
• 20 petaflops of AI performance
• 8 TB/s memory bandwidth
• Local AI agents running 24/7
• Windows + NVIDIA CUDA
• AI that can work across your files, apps, devices and home
And Jensen’s prediction is even crazier:
Your PC may stop feeling like a “computer.”
It could become more like R2-D2 or C-3PO — a personal AI that lives in your home and continuously gets things done for you.
The smartphone didn’t just make phones better.
It changed what a “phone” meant.
NVIDIA believes AI will do the same to the PC.
The PC isn’t disappearing.
It’s becoming something completely different.
The AI computer era starts now. 👀
Asset Allocation: The Investor's Most Powerful Tool.
Discover why asset allocation is the dominant factor in investment returns.
We explore its behavioral roots and how stable, diversified approaches lead to success.
David Swensen didn’t need a crystal ball to build Yale’s fortune.
He took roughly $1B and helped turn it into $16.7B.
No stock-picking magic.
No market-timing tricks.
No secret Wall Street formula.
His playbook was almost boring:
Diversify.
Rebalance.
Stay invested.
That’s it.
For 25 years, Swensen ran Yale’s endowment.
During the 2008 crash, critics attacked his strategy. He reportedly kept one of those articles in his pocket.
Then the numbers did the arguing for him.
Yale delivered roughly 13.1% a year over 20 years, versus about 8.8% for the average university endowment.
That difference compounded into billions.
Not because Swensen made perfect trades.
Because he avoided making emotional ones.
And that may be the biggest investing lesson of all:
"You don’t need to be brilliant to build wealth.
You need to stop sabotaging yourself."
Investors routinely buy after markets explode and sell after they crash.
Same assets.
Same markets.
Different behavior.
The market doesn’t require you to predict the future.
It requires you to stay in the game long enough for compounding to work.
"The strategy can be simple.
The hard part is not touching it."
Take1Coin retweeted
They didn’t make millions by picking the right stocks.
They made millions by convincing YOU to buy them.
Belfort’s pump-and-dump machine was simple: hype the stock → push the price up → dump on the buyers → leave them holding the bag.
The Wolf of Wall Street didn’t disappear.
He just moved to crypto.
