The head of Anthropic:
We need to slow down the development of AI because we’re losing control over it, and it’s unclear where this could lead.
Also the head of Anthropic:
Opens a secret biolab so AI can conduct biological experiments largely on its own, with minimal human involvement.
Good plan 👍
“Stop AI!”
It may seem like we’ve heard those words from just about everyone in recent years.
But now the head of Anthropic (the company behind Claude) has officially joined them. He published an entire essay and called for slowing down the development of the most powerful AI systems. He was quickly backed by Sam Altman, Elon Musk, and the head of Google DeepMind.
Now, that’s something new.
And honestly, the reason behind these statements is just as surprising.
OpenAI ran a test: the AI was simply supposed to hack a specially designed training server. But it found a way not only to break in, but also to escape the environment and start attacking real services on the internet.
The test involved 533 AI agents working simultaneously, with a shared chat where they could coordinate with one another. When one of them found a way to reach real servers, it posted the instructions there — and the others picked them up.
Anthropic later ran a similar test with Claude and found something comparable. The AI uploaded a malicious program to the public internet, and it was actually run on 15 real computers.
And all of this is happening at a time when Claude already writes more than 80% of the code inside Anthropic 👍
That’s why the company’s CEO has now called, for the first time, for pausing the development of new models until developers learn how to properly control them.
But the problem is that if one company does this while its competitors in the U.S. or China keep making AI more powerful, it will simply lose the race.
That’s why the conversation is now shifting from what one company should do to common rules for the biggest AI developers — and even agreements between countries.
Funds started buying up 10–20% stakes in crypto projects
It was 2026, but most people still knew only Bitcoin when it came to crypto. Maybe Ethereum, too.
Meanwhile, big money was quietly buying stakes in different coins and getting ready for something. Even though hardly anyone was talking about it.
But here are a few examples:
🔘 Apollo, a fund managing more than $900 billion, is looking to acquire up to a 9% stake in MORPHO. It’s a project where people and companies lend money to each other through crypto.
🔘 StablecoinX, backed by Pantera and other major funds, acquired nearly 20% of ENA. The project is behind the digital dollar USDe.
🔘 SDC has accumulated around 10% of SKY. The project is building a lending and digital-dollar system without a traditional bank.
🔘 Hyperliquid Strategies acquired roughly $2.2 billion worth of HYPE – the token of one of the largest decentralized crypto exchanges. The company now controls around 12.5% of all HYPE.
There are plenty of other examples like these. But all of these purchases point to the same broader trend: money is flowing into lending, exchanges, digital dollars, and payment infrastructure.
The logic is this: if some financial services really do move onto the blockchain, you won’t only be able to make money from Bitcoin going up, but also from the services through which lending, trading, and payments will flow.
Is ChatGPT destroying Wall Street?
OpenAI rolled out ChatGPT for finance today.
It includes data on roughly 13 million companies and 3 million transactions.
You can give it a specific stock – anything from a company like Apple to a little-known business.
And get a full breakdown: how revenue and earnings are growing, how much debt the company has, how it stacks up against competitors. And how much the stock could be worth under different scenarios.
It pulls all of this together in Excel and backs it up with sources.
A professional deep-dive that a team of Wall Street analysts could previously spend days or weeks putting together can now be done with a single prompt in a matter of minutes.
The product was built in partnership with Morgan Stanley. There, 98%+ of financial advisor teams are already using the AI.
OpenAI is now testing the tool with banks and funds. The next step – add it to regular ChatGPT, so the kind of analysis used by the world’s biggest banks to evaluate virtually any asset could end up in anyone’s phone.
Apple just released a $2,000 iPhone
It’s called the iPhone Duo. And yes, as many of you may have already heard, it’s the first foldable iPhone in history. The price starts at $1,999.
This is an experiment. Apple is essentially testing whether millions of people are willing to pay for a smartphone like they would for a good laptop. If they are, the price ceiling for premium phones has just been pushed significantly higher for the entire market.
Analysts are already expecting 6–10 million Duo sales in its first year. In a strong scenario, that number could reach 15–20+ million.
If the Duo actually sells better than expected without hurting margins, analysts will have to raise their forecasts for Apple’s earnings. In a strong scenario, that points to around $400–430 per share, versus the current ~$315.
Tesla will release a “human” for $20,000
Musk officially confirmed: the first Optimus robots will go on sale in 2027.
And the bet on them is so massive that, to make room for these robots, the company has already discontinued its legendary Model S and Model X cars.
Tesla wants to create a truly universal assistant: clean the house, put things away, bring in groceries, load the washing machine, open the door, use regular tools, and learn new tasks simply by being told what to do.
In short, a new member of the family for every household. And on top of that, a universal worker in any factory.
The target price is around $20–30K, although Tesla has not announced the final price yet.
Right now, in Texas, they are designing a factory to produce 10 million robots a year. That’s 20 times more than the number of robots being made worldwide right now.
So Tesla is going almost all-in on this field.
Although the bet is worth it. If Optimus learns to work like a human, for the first time, the workforce could simply be produced on an assembly line. And here’s a solution to demographic problems around the world.
Do you believe robots can partially replace physical labor this quickly?
❤️ – It’s possible
👍 – I don’t believe it
Investors rushed to buy both AI and gold
Something unique started happening in August. Investors simultaneously started aggressively buying AI companies, gold, and even Bitcoin.
What’s the connection here?
It’s actually a very unusual one. To build AI data centers, the biggest tech companies are spending hundreds of billions of dollars.
They need money for that. A lot of money. Which they keep borrowing in the market. In 2026 alone, their spending could approach $700 billion.
And the problem is that the U.S. government is borrowing money in exactly the same way. And the more they borrow, the higher the interest rate they have to offer on that debt.
But in August, the Treasury stepped in. And increased its buybacks of its own bonds to bring that very rate down.
Investors immediately understood:
Debt is becoming too expensive, and now the government will be looking for ways to make it cheaper.
And the more interventions like this we see, the stronger the fear that the dollar will lose value. That’s why some of the money is moving into gold and Bitcoin.
Which, as a result, saw inflows of $7 billion in just 5 days.
At the same time, no one is giving up on AI either. Nvidia keeps climbing, and money is still flowing into tech funds.
The market is now simultaneously buying AI as a bet that technology will make the world richer, while also buying gold and Bitcoin as insurance in case the bill for this party turns out to be too big and the system can’t handle it.
Why are billionaires buying plumbers?
Who would have thought, but the biggest investment funds have found a new favorite asset. They are rushing to buy plumbing, electrical, and air-conditioning service companies on a massive scale.
For context: since 2022 alone, funds have bought almost 800 such companies in the US.
The most striking case is Apex Service Partners. In 2019, Alpine started bringing small trade service companies together under this company.
Back then, Apex’s revenue was around $40 million. Today, it is already more than $3 billion, while the entire company was recently valued at around $10 billion.
Why does this work?
The US home services market is worth around $700 billion, but it is still made up of thousands of small firms. Funds buy them one by one, consolidate advertising, procurement, and management – and build one large network.
And demand is very strong: pipes and air conditioners still need to be fixed, homes in the US are getting older, while the number of skilled tradespeople is declining.
That is why, following the same model, companies providing elevator, fire-system, roofing, and even garage-door services are already being bought up.
Essentially, funds have found a way to turn a very ordinary local business into companies worth billions of dollars.
Most likely, the US has once again launched a new business model. And this proven model will quickly start being copied in other countries, building similarly large networks out of local service businesses.
Has the crypto market’s bull run begun? 👀
Bitcoin has soared from around $63,000 to above $80,000 in just a couple of weeks. And for the first time in a long while, this move doesn’t look like just another bounce.
I already wrote about the main catalyst behind this rally a few days ago. It all comes down to the U.S., which has started buying back its own bonds on a large scale.
But now, new details have emerged. The U.S. is also considering using part of its reserve — where nearly $1 trillion currently sits — for these buybacks.
In terms of the impact on the markets, this could look somewhat similar to 2021: there will be more money in the system, bond yields will move lower, and stocks and crypto will get even more fuel for further growth.
So the market’s fate depends on this.
But it’s still too early to celebrate the start of a new bull run. BTC has hit resistance around $81,000 — several key levels converge there at once. If the market manages to establish itself above that level, the next area of interest could very well be $95,000–$100,000.
But if it fails to break through and the inflow of big money starts to fade, the current +30% could turn out to be just a very strong bounce followed by a natural correction.
But for the first time in a long while, Bitcoin’s growth is being driven not only by expectations, but by real money and macroeconomic factors.
The AI Illusion
One of the most interesting things in the AI industry today, and something that remains outside the attention of 99.9% of people, is the real impact of artificial intelligence on the economy.
Hyperscalers are investing hundreds of billions of dollars in AI infrastructure. Corporations are spending billions on tokens and on attempts to integrate AI into their operations. And the entire market is being accelerated by everyone buying from each other in a loop, valuations rising, more capital flowing in, and the market continuing to expand.
But the question that I think is actually worth asking is this: how much is artificial intelligence really affecting the economy and GDP today?
I think you may be surprised, but if you try to estimate it and look at the actual data rather than the perception created by society and social media, the impact of AI on GDP today is approximately zero percent.
In simple terms, the hundreds of billions of dollars invested so far have not yet produced any noticeable additional economic growth.
Does this mean AI is useless? Of course not.
Over the next several years, there is a very high probability that this number will change and AI will genuinely create enormous additional value.
But the data we see today tells us something different. The speed at which artificial intelligence is being integrated into society, the economy, and the world has been significantly overestimated.
And at some point, these expectations will be corrected, and the entire industry will correct along with them.
