CryptoMaksymus

The godfather of AI (and at the same time the most cited scientist in the world) Joshua Bengio supported a coordinated and VERIFIABLE global pause in the development of AI until such time as "safety guarantees" of such development are developed.
More recently, the Pope of Rome called to "Disarm AI" and also take its development under strict moral and ethical control.
Such appeals sound noble, but in the modern world they are unrealistic (as it seems to me).
The Vatican is flirting with Anthropic, trying to "lead" a new technological revolution. At the same time, he manages the advanced VATT telescope in Arizona, digitizes his secret archives with the help of neural networks, and his employees use chatbots for routine work. When technologies penetrate even beyond the walls of holy abodes, they try to put AI on pause - this is how electricity will be banned.
But the most important thing is not even that. A coordinated and global pause is basically impossible. We live in an era when the geopolitical confrontation has become FIRM and sometimes even HOT. Leadership in the field of AI is already a national security issue. This is a question of weapons, including cyber weapons. This is a question of economic and military superiority.
Imagine that the USA will honestly stop the development of AI technologies, as Anthropic and the godfather of AI are asking. And what will China do? Cut the maximum speed. In order for the "pause" to be "verifiable", the Americans must have access to closed data centers in Shenzhen, and the Chinese - to servers in Ohio. In today's world, such trust is absolutely impossible.
Therefore, governments, companies, scientists and the Vatican can publish beautiful declarations as much as they want, but behind closed doors the special services of China, the USA and other countries will demand only one thing: "DEVELOP THESE TECHNOLOGIES FAST. The enemy will not wait."

GREAT BRITAIN HAS LAUNCHED AN AI-BASED FACE RECOGNITION SYSTEM.
AND IT HAS ALREADY LEAD TO THE ACCUSATION OF THE INNOCENT.
British police have just launched a national project PoliceAI worth 115 million pounds. Its main goal is the coordinated use of artificial intelligence in all 43 police units in England and Wales. This will be a single retrospective face recognition system.
The scale of the newly launched system is already amazing: every month, the algorithms run about 25,000 search queries on a database containing 19 million photographs of detainees. In London alone, in 2026, the police managed to scan 1.7 million faces - this is almost twice as much as a year earlier.
Official authorities report that police AI will make the country safer.
But in practice, the system is already ruining the lives of ordinary people, and the "infallible" artificial intelligence makes gross mistakes.
Here are a couple of real stories that happened quite recently:
1) The case of Alva Chowdhury. A 26-year-old software engineer was detained in Southampton. The algorithm accused him of a robbery that happened 160 kilometers from his home. Alva himself claims that the real suspect in the video does not look like him at all. Nevertheless, the guy had to spend almost ten hours in custody.
2) The Colin McMahon case. A 59-year-old roofer was pulled over by the police on a London street because PoliceAI accused him of stealing from IKEA. In fact, at the time of the crime, Colin was leading an Alcoholics Anonymous meeting ten kilometers from this IKEA.
But blindly blaming the AI ​​system for these mistakes is not worth it. In both cases, the so-called human factor worked. The police operators, who according to the instructions were obliged to double-check the conclusions of PoliceAI, in fact simply blindly wrote down all the decisions of the machine, without even trying to check them and, even more so, challenge them.
That is why the biometrics commissioners of England, Wales and Scotland warn that the introduction of technologies is faster than the development of legislation that should regulate them.
The digital police are already "roaming" in Great Britain, but there is simply no one to protect an ordinary citizen from their mistakes.
Expect the same in other countries of the world.

Sometimes there are days in the financial markets when literally everything turns against investors. Today was just such a day.
Not only the crypt collapsed, but everything at once.
The S&P 500 fell by 1.65%, leaving $1.14 trillion in capitalization.
The Nasdaq fell 2.60%, losing $1.11 trillion.
​Gold fell by 3.38% (minus $1 trillion of capitalization).
Silver fell by 6.9% (minus $280 billion).
Bitcoin fell by 6.31%, losing $80 billion.
In total, 2.5 trillion dollars evaporated in one trading session.
There is a "funny" reason for this decline: the economy is too good.
It all started in the morning with the report on the US labor market. It turned out that in May, the American economy created 172,000 jobs, although Wall Street created almost half as many: only 88,000.
Normally, a strong labor market is a cause for joy and good news. But not now, when inflation stubbornly remains at the level of 3.8%, and Brent oil costs $90 per barrel. For the Fed, such figures mean one thing: the economy is overheated. You can forget about lowering interest rates, moreover, they may have to be raised.
The probability of a rate increase this year jumped from 40% to 57% in just one day. For the technology sector and growth stocks, this has become a cold shower: the higher the rates, the cheaper these companies are in the eyes of long-term investors.
Then the main driver of the market of the last year cracked - the artificial intelligence industry.
The day before, the giant Broadcom reported record revenue (up 48%) and explosive sales of AI chips (up 143%). It would seem, success. But the company's shares fell by 12.6% after the news. The reason is simple: the management did not start to raise the forecasts for revenue from AI until the end of the year. Investors, accustomed to constant records, asked themselves a question that they had avoided for a long time: "Are we not paying too much for these shares?".
The study of the analytical firm SemiAnalysis added fuel to the fire. Experts have found out that next-generation AI chips from Nvidia require significantly less memory than the market expected, about half as much. But this memory is the bread and butter of such Asian giants as SK Hynix and Samsung.
The reaction followed immediately: SK Hynix's shares fell by almost 10%, Samsung's by more than 6%. After them, the entire stock market of South Korea collapsed by 5.5%, dragging Japanese semiconductor manufacturers with it.
The final touch for the AI ​​sector was the presentation by Anthropic. The company warned that AI is rapidly approaching the point where it can improve itself without human intervention, and called for a global pause in development.
Against the background of the news about the decrease in demand for memory and modest forecasts of Broadcom, this gave rise to the main fear: what if technologies develop faster than business models manage to monetize them?
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​While attention was focused on quotations, behind the scenes the liquidity problem worsened, which few people talk about out loud.
Next week, SpaceX plans to go public with an initial capitalization of $1.75 trillion.
Anthropic has also already applied for an IPO, and OpenAI is next in line.
Together, these three giants are worth $4 to $5 trillion.
To enter these historic IPOs, large funds need colossal amounts of cash.
But the managers' free cash reserves are now at a minimum since the beginning of 2024.
There is only one way out - to sell what is already growing in portfolios. It was this hidden cash sale that happened today.
To top it all off, in 11 days the first meeting of the Fed will be held under the chairmanship of the new head Kevin Warsh. Donald Trump appointed him with the clear intention of lowering rates.
However, Warsh enters the cabinet when inflation is high, oil is expensive, and the labor market is breaking records. Investors simply do not understand what decision he will make. And when the policy of the most powerful Central Bank in the world is at stake, and there is no certainty, the most reasonable course of action for major players is to reduce risks and go to cash.
Conclusion 👇
​Today, all possible negative factors have come together: hot statistics from the USA, the collapse of the truce in the geopolitical arena, doubts in the AI ​​sector, a trillion-dollar liquidity deficit and complete uncertainty before the Fed meeting.
The market simply decided to take a break and play it safe.

Michael Saylor sold Bitcoin for the first time in 4 years and the entire market panicked.
I know, two posts in a row. But this topic now worries everyone.
He sold 32 coins. Out of 843,738 on the balance sheet.
In terms of scale, it's like if a millionaire sold 38 dollars of his fortune, and everyone around would start shouting that he's bankrupt.
But there is a detail that you need to know: he didn't sell because he had to. He sold to prove that he could.
Why did he sell? It's just that he has a three-step plan.
The media has already spread the news: "The largest institutional buyer has given up, the Bitcoin evangelist has become disappointed, now Bitcoin is finally falling into the abyss."
But in reality, this microscopic sale is the final step in Michael Saylor's strategy, which should force pension funds, 401k portfolios and index funds to automatically buy Bitcoin every month, quarter or hour.
Look, the S&P Global rating agency has its own conditions. To them, the company MicroStrategy, which vows to "never sell Bitcoin", looks not like a firm convinced of its principles, but like a structure with frozen, illiquid assets of 63 billion dollars, which on paper is equal to zero.
Saylor created a three-step plan to correct this misconception.
He has already completed the FIRST STEP for S&P. It is called liquidity.
In December, the company created a dollar reserve in the amount of 2.25 billion dollars to cover dividends and service debts.
THE SECOND STEP is the debt of the Microstrategy company. And this step is also completed.
Last week, MicroStrategy bought back its convertible bonds for the sum of 1.5 billion dollars at a discount of 8%, paying only 1.38 billion dollars in cash. Quite a bargain, isn't it? Saylor reduced the debt, and even made hundreds of millions of dollars from it.
And finally, STEP NUMBER THREE: I would call the ego "access". This step is ALREADY done too. And he scared the markets the most.
The sale of 32 Bitcoin coins is verifiable proof to the S&P agency and the S&P 500 index committee that the asset (Bitcoin) owned by Microstrategy can be moved, that it is liquid, and that the company is able to use it for payments without issuing new shares.
At the same time, MicroStrategy was full of cash, of course they did not need this money (earned from the sale of Bitcoins). So this sale was completely strategic, VOLUNTARY, and not a forced measure.
Why is this necessary? Saylor's goal is not a momentary hype, but an increase in the credit rating and, in the future, the inclusion of MicroStrategy in the S&P 500 index.
If this door is opened for the company, passive funds with a capital of trillions of dollars will be obliged to mechanically buy MSTR shares simply by the fact of their presence in the index. And MicroStrategy, receiving this influx of capital, will continue to do what it always does - buy billions of dollars worth of Bitcoin.
So it turns out that while the crowd is panicking about the sale of 32 coins, Saylor is simply carrying out a plan to open a $23 trillion investment capital market for Bitcoin.