VisionofBitcoin

Stacker_Stocks

- Halter manufactures AI-powered collars for cows that monitor health, location, and virtually herd the herd.

- Farmers literally press a button on the app and the cows gather for milking.

- 600,000 collars already in operation.

- PayPal founder Peter Thiel is investing in the latest round valued at $2 billion.

This is officially the most absurd use of AI I've ever seen.


![](https://m.stacker.news/135637)

![](https://m.stacker.news/135638)


https://x.com/business/status/2035082164094521521?s=20

Peter Thiel's Founders Fund backs AI-powered livestock herding startup farms now

Construction_and_Engineering

Farm in the Netherlands uses Bitcoin mining to heat greenhouse crops

science

Microsoft researchers have unveiled GigaTIME, a powerful artificial intelligence system designed to model the complex environment surrounding tumors.

Instead of relying solely on expensive and sophisticated laboratory tests, the system can analyze standard pathology slides and generate detailed molecular insights into what is happening inside tumors.

The AI was trained with data from approximately 40 million cells, connecting tissue images with information on protein levels. It was then applied to data from over 14,000 cancer patients, generating hundreds of thousands of virtual molecular images across 24 different cancer types.

This enormous “virtual population” allowed researchers to discover over 1,200 new biological associations, linking proteins, biomarkers, tumor progression, and patient survival.

What makes this especially exciting is that studying the tumor microenvironment typically requires extremely expensive and slow imaging techniques. GigaTIME can simulate similar insights using AI, allowing scientists to analyze cancer biology on a population scale, something that was previously virtually impossible.

The bigger picture: artificial intelligence is beginning to act as a discovery engine for biology.

All cancers may soon be curable.

![](https://m.stacker.news/134698)


https://x.com/satyanadella/status/2033187856370557379?s=20

AI has just taken a giant leap in understanding cancer.

"Basically, we're just going to distribute money to people."

“I believe we will have a universal high income. Basically, we will distribute money to people because the production of goods and services will far exceed the money supply, which will effectively cause deflation.

Deflation is simply the ratio between the production of goods and services and the money supply.

Therefore, if the growth rate of goods and services far exceeds the growth rate of the money supply, which I predict will happen, then there will be deflation.

Basically, AI and robots will produce so much and provide so many services that they will actually run out of things for humans to do. They will simply run out of things for humans to do.

There is a limit to what humans can express they want. If you grow a million times larger than the Earth's economy, you will have already saturated all human desires.

If you grow a thousand times larger than our current economy, you will probably have already saturated everything people can imagine they want.”

![](https://m.stacker.news/134533)

Elon Musk on the AI ​​economy

JP Morgan has begun marking down private credit portfolios and reducing new lending.

It sounds technical, but this touches on the heart of liquidity creation in the financial system.

Much of today's credit doesn't originate solely from traditional banks. It comes from the private credit ecosystem, funds, and financing structures that lend using assets as collateral.

The problem begins when these assets experience negative mark-to-market valuation.

When the value of collateral falls, lenders increase haircuts, demand more guarantees, and reduce leverage capacity.

The result is simple: Less collateral → Less credit → Less liquidity

This reduces the credit multiplier of the financial system.

And when credit begins to contract, the effect is rarely isolated.

Ristier companies lose access to financing, credit spreads widen, and the cost of capital rises rapidly.

This is one of the classic signs of cycle exhaustion.

This is exactly the dynamic that appeared before several moments of financial stress. The system begins to reassess risk, collateral loses value, and credit expansion slows.

The important point is that financial markets are extremely sensitive to marginal liquidity.

When credit expands, assets rise.

When credit contracts, the wind changes.

And that's where Bitcoin comes in.

Historically, BTC reacts very sensitively to changes in global liquidity. In phases of credit contraction, the market usually experiences multiple compression and greater volatility.

But this process also tends to plant the seeds of the next cycle. So if you are positioned, prepare for turbulence.

![](https://m.stacker.news/134157)

JP Morgan has begun to devalue its private credit portfolios and loans.

In two years, everything that AI needs to learn will already be outdated.

![](https://m.stacker.news/133605)

AI doubling in months.

It shows two different things.

The blue area represents everything that AI is already capable of doing today.

The red area shows how people are actually using AI at work.

And the gap between the two is enormous.

This difference is important because it reveals something that many people still haven't understood about the technological transition. Capability is not adoption.

For example:

In areas like programming, a large part of the tasks are already technically within the reach of AI. The same is beginning to appear in financial analysis, customer support, and administrative functions.

But this doesn't mean that these functions have disappeared.

In practice, what is happening is much more gradual.

Unemployment in the most exposed professions has practically not changed. What has changed is something else.

Companies have started hiring less in these areas.

In the US, hiring for young people between 22 and 25 years old in roles most exposed to AI has already fallen by about 14%.

In other words, the change is not happening through mass layoffs.

It's happening through a reduction in the entry point into the job market.

Another interesting finding from the study: today, about 49% of jobs in the US already have at least a quarter of their tasks within the reach of AI.

Just a year ago, that number was 36%.

The technology has already arrived, and this will have a significant impact on the job market and economic activity.



![](https://m.stacker.news/133261)

Anthropic published a key chart showing how AI is reshaping work today globally!

Each pair is a real-time camera connected to servers.

Each activation of "Hey Meta" generates a video.

These videos go to Kenya, where human workers label what the algorithm can't process.

Read that again.

These aren't metadata. These aren't blurry clips.

These are real videos. People undressing.

Bathrooms. Sexual relations. Bank card data. Medical documents.

The workers described what they see:

→ "From living rooms to naked bodies"
→ Unintentionally captured card details
→ Cameras in doctors' offices
→ The anonymization eraser? It constantly fails

But here's what they're hiding from you:

You didn't agree to any of this.

If someone with these glasses enters your bedroom, your bathroom, your doctor's appointment, you are not a contracting party.

You didn't sign anything. You have no protection whatsoever. You are the product being annotated.

Meta's defense? "It's in the terms of service."

Technically correct. Practically irrelevant. The terms govern the data of those who use the product. Not yours.

And the company making the annotation? Sama, the same one exposed by TIME in 2023 paying $2/hour to label graphic content for OpenAI while charging $12.50 per worker. The employees themselves called it torture.


Same workforce. Same rates. New contract: your intimate moments.

Google Glass died because people called users "Glassholes" and banned them from bars.

Meta solved the aesthetic problem.

It didn't solve the privacy problem. It hid it.

And the next generation? Facial recognition.

The same system that can't reliably blur faces will start purposefully identifying them.

The EU is already moving. European parliamentarians have submitted formal inquiries to the Commission demanding answers on GDPR compliance.

The problem is obvious: European law requires consent from data subjects. Spectators are data subjects. Spectators never consented. The entire architecture violates the regulation by design.

What to watch for: if Brussels formalizes enforcement, Meta faces an impossible choice.

→ Disables human review in Europe
→ Cripple in AI training pipeline
→ Accepts fines that could reach billions

None of these scenarios are priced into the action.

50 million installed units permanently change the calculation.

This isn't about privacy.

This is about who controls your data without ever asking your permission.


![](https://m.stacker.news/133059)

Meta has sold 7 million pairs of Ray-Ban AI-powered glasses by 2025.

bitcoin

Orange buys the bitcoin.com.br domain.

lightning

Lightning Network is now available in beta on cakewallet

Christianity

We are witnessing an unprecedented Christian revival.

![](https://m.stacker.news/130870)

On Ash Wednesday, churches in the US and France were packed.

At least two funds reported increased exposure via BlackRock ETFs!

- Mubadala Investment Company: +$12 million in equities
- Al Warda Investment: +$8 million in equities

Together, they held a position of approximately $1 billion at the end of 2025.

UAE sovereign wealth funds have once again increased their exposure to Bitcoin.

The paper "Kalshi and the Rise of Macro Markets" analyzes the effectiveness of Kalshi's forecasting markets as tools for measuring macroeconomic expectations in real time.

It highlights:

- Unlike surveys, which can quickly become outdated, these markets offer high-frequency data and continuous updates.

- The authors demonstrate that Kalshi's forecasts are as accurate as those of professional analysts (such as the Bloomberg consensus) and, in some cases (such as the main CPI), show a statistically significant improvement.

- The solution responds quickly to macroeconomic developments and monetary policy signals that the data misses.

BASICALLY, they are saying that KALSHI provides BETTER DATA than the FED HAS available!!!

![](https://m.stacker.news/130839)

The Fed just published a paper on Kalshi.

Well, here's a curious tidbit: after his winning trade on Polymarket, he withdrew the entire amount directly to a wallet. Here's his profile:  https://t.co/2UPF6335Eg

Account created in December, only 4 predictions made, 100% accuracy, and now the account is empty.

A few days later, someone also sent him a $1 gift on Polymarket using the "Send Tip" feature.

And obviously, he withdrew the money too. After all, every penny counts!


![](https://m.stacker.news/130386)

Case of the insider who profited from Maduro's capture

One of the few confirmed state-owned miners on the planet, the government of Bhutan, has been reducing its BTC reserves every week since November.

Today, they sold another $6.77 million.

In total, Bhutan still holds $374 million in BTC.

Will they make the same mistake as Germany?

![](https://m.stacker.news/130184)

Bhutan's government selling Bitcoin

This guy said he only had 120 hours left to live and would stream until the end. He launched a token that reached a value of half a million dollars and earned $14,000 in fees.

Then he sold all the coins he had, ended the stream, and it went to zero.

Crypto is not for amateurs.

![](https://m.stacker.news/129928)

![](https://m.stacker.news/129929)

He faked having 120 hours to live, launched a token, then vanished.

1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa

Why would someone make such a donation?

The first address to receive BTC balances has the 50 BTC (unspendable from the first mined block) and already has a balance of 107 BTC (57 BTC from subsequent transfers).

![](https://m.stacker.news/129516)

![](https://m.stacker.news/129517)

![](https://m.stacker.news/129518)

Someone sent 2.56 BTC to Satoshi at the first address used in BTC.

- Bitcoin (₿): 1,085 days (~2.9 years).

- Gold (🏆): 4,389 days (~12 years until a definitive breakout).

- S&P 500 (🇺🇸): 4,640 days (~12.7 years — the trauma of the dot-com bubble).

- Silver (🥈): 5,271 days (~14.4 years)

![](https://m.stacker.news/128734)

Days needed for assets to surpass their ATHs

5 minutes that are worth INFINITELY your time!

Binance's first $BTC purchase transaction has been executed and sent to the "SAFU Fund".

1350 BTC were purchased for approximately $100 million.

The company aims to acquire $1 billion within 30 days of the official announcement.

![](https://m.stacker.news/128559)

Binance starts bitcoin purchase

A gold trading platform in China froze $19 billion of clients' money.

The company advertised guaranteed returns of 20%.

Now thousands of clients want their money back, and the owner claims to have been "deceived."

![](https://m.stacker.news/128432)