artificialintelligence

Cześć, społeczność kryptowalutowa. Porozmawiajmy o przykrym, ale krytycznie ważnym temacie. Technologiczny przełom, który zmienia nasz świat, jest teraz aktywnie wykorzystywany przeciwko nam. Mówię o sztucznej inteligencji.
Nowe dane z Chainalysis są szokujące: 2025 rok stał się najgorszym rokiem w historii pod względem objętości oszustw kryptowalutowych. Całkowite straty przekroczyły 17 miliardów dolarów, a ta liczba ma wzrosnąć o około 24%, gdy odkrywane będą nowe schematy.
Ale liczby to nie najstraszniejsza część.

Hello, crypto community. Let's talk about an unpleasant but critically important topic. The very technological breakthrough that is changing our world is now being actively used against us. I'm talking about artificial intelligence.
New data from Chainalysis is shocking: 2025 has become the worst year in history for crypto fraud volume. Total losses have surpassed $17 billion, and this figure is expected to grow by about 24% as more schemes are uncovered.
But the numbers aren't the scariest part.
What's worse is the rise in personal tragedies. The average loss per victim has skyrocketed from $782 to $2,764. That's a 253% increase. Scammers have become not just more massive, but more targeted, extracting far more money per hit.
Why is this happening? The answer is one word: AI.
Research paints a clear picture:
Scammers using AI earn over $3.2 million per operation. Without AI, it's only about $719k.
Their average daily income is $4,838 compared to $518 for "traditional" scammers.
AI in Action: From Deepfakes to Insider Information
Deepfakes have become the norm. As JPMorgan noted back in July 2025, thieves are using realistic fake speech and video in "pig butchering" and romance scams. A victim sees an "investor" or "partner" on a video call and believes them unconditionally.
Automation and Personalization. AI allows for processing thousands of potential victims simultaneously, tailoring the approach to each. The speed and scale are unmatched compared to the past.
Hybrid Methods. A prime example is the Brooklyn case (December 2025), where 23-year-old Ronald Spector was charged with stealing $16 million from Coinbase users. The scammers bought insider information from a support employee ($250k for data on 70k customers) and then, posing as support agents, used polished scripts (potentially AI-powered) to convince people to transfer funds to "safe wallets" under their control.
What Are the Authorities Doing?
Law enforcement is fighting back. Will Lyne, head of the Metropolitan Police's cybercrime unit in London, acknowledges that organized crime is operating at an unprecedented "pace and scale." However, he notes that international cooperation and Digital Intelligence are starting to yield results: "We are in a much stronger position to identify criminal networks, seize illicit assets, and disrupt activity that harms our communities."
The Core Challenge for 2025 and Beyond: AI is blurring the line between legitimate service and sophisticated trap. Phishing sites, voice messages, video appeals – everything now looks flawless.
Discussion for our community:
What tools and habits do you think are now critical for security? (Hardware wallets, address verification, ignoring "support" on social media?).
Have you seen examples of AI-enhanced fraud in your circles?
Should exchanges and projects implement mandatory "sanity checks" for large transfers?
Share your thoughts in the comments. Forewarned is forearmed. Let's protect our community together.
#AI #artificialintelligence #WriteToEarnUpgrade

Narracja dotycząca sztucznej inteligencji to nie tylko moda; to fundament tego cyklu wzrostowego. Wcześniej rozmawialiśmy o przesłaniach, ale dziś, w 2026 roku, widzimy rzeczywistą infrastrukturę przetwarzającą dane i uruchamiającą autonomiczne agenty w łańcuchu blokowym.
Jeśli szukasz zróżnicowania portfela za pomocą projektów o rzeczywistej użyteczności i technologicznym zapleczu, oto ostateczna lista rankingowa.
🌟 "Top 10" sztucznej inteligencji
Artificial Superintelligence Alliance ($FET ): Gigant powstały z połączenia Fetch.ai, SingularityNET i Ocean.

Crypto Fraud Breaks All Records – Over $17 Billion Lost
Hello crypto fam,
Today we need to discuss something uncomfortable but extremely important. The same technology that’s shaping our future is now being turned against us — Artificial Intelligence.
Fresh reports from Chainalysis reveal a disturbing reality:
2025 is now the worst year ever for crypto scams.
Losses have already crossed $17 billion — and experts believe this number could rise another 24% as more fraud cases come to light.
But the real danger isn’t just the total amount stolen…
🚨 Victims Are Losing More Than Ever
Scammers are no longer just targeting masses — they’re going deep and personal.
• Average loss per victim jumped from $782 to $2,764
• That’s a shocking 253% increase
• Fewer victims, but much bigger damage per person
So what changed?
The Answer: AI
Studies show:
• AI-powered scam groups earn $3.2M per operation
• Traditional scammers average only $719K
• Daily earnings:
– AI scammers: $4,838/day
– Old-style scammers: $518/day
That’s a massive difference.
🧠 How Scammers Are Using AI
1. Deepfake Video & Voice
Fake video calls and cloned voices are now common.
Victims believe they’re talking to real investors, partners, or even loved ones.

2. Smart Automation
AI lets scammers contact thousands of people at once —
customizing messages based on each victim’s behavior.
3. Hybrid Attacks (Real Case)
In Brooklyn (Dec 2025), a 23-year-old hacker stole $16M from Coinbase users.
How?
• Paid an insider $250K for customer data
• Posed as support agents
• Used professional scripts (likely AI-written)
• Convinced users to move funds to “secure wallets”
• Money vanished.
👮 Are Authorities Fighting Back?
Yes.
Will Lyne, head of London’s cybercrime unit, confirms criminals are moving at record speed and scale.
But good news:
International cooperation + digital tracking tools are helping police:
✔ Identify crime networks
✔ Freeze stolen funds
✔ Shut down scam operations
⚠️ The Big Problem Moving Forward
AI is making scams look perfectly real.
Fake websites
Fake support chats
Fake voice calls
Fake video messages
Everything looks professional — and that’s dangerous.
💬 Let’s Talk – Community Discussion
What security steps do you think matter most now?
• Hardware wallets?
• Double-checking wallet addresses?
• Ignoring “support” messages on social media?
Have you personally seen AI scams?
Should exchanges add extra confirmation checks for large transfers?
Drop your thoughts below 👇
Stay alert. Stay safe. Protect each other.
#AI #artificialintelligence #CryptoSecurity #ScamAlert
$AI

Hello, crypto community. Let's talk about an unpleasant but critically important topic. The very technological breakthrough that is changing our world is now being actively used against us. I'm talking about artificial intelligence.
New data from Chainalysis is shocking: 2025 has become the worst year in history for crypto fraud volume. Total losses have surpassed $17 billion, and this figure is expected to grow by about 24% as more schemes are uncovered.
But the numbers aren't the scariest part.$
What's worse is the rise in personal tragedies. The average loss per victim has skyrocketed from $782 to $2,764. That's a 253% increase. Scammers have become not just more massive, but more targeted, extracting far more money per hit.
Why is this happening? The answer is one word: AI.
Research paints a clear picture:
Scammers using AI earn over $3.2 million per operation. Without AI, it's only about $719k.
Their average daily income is $4,838 compared to $518 for "traditional" scammers.
AI in Action: From Deepfakes to Insider Information
Deepfakes have become the norm. As JPMorgan noted back in July 2025, thieves are using realistic fake speech and video in "pig butchering" and romance scams. A victim sees an "investor" or "partner" on a video call and believes them unconditionally.
Automation and Personalization. AI allows for processing thousands of potential victims simultaneously, tailoring the approach to each. The speed and scale are unmatched compared to the past.
Hybrid Methods. A prime example is the Brooklyn case (December 2025), where 23-year-old Ronald Spector was charged with stealing $16 million from Coinbase users. The scammers bought insider information from a support employee ($250k for data on 70k customers) and then, posing as support agents, used polished scripts (potentially AI-powered) to convince people to transfer funds to "safe wallets" under their control.
What Are the Authorities Doing?
Law enforcement is fighting back. Will Lyne, head of the Metropolitan Police's cybercrime unit in London, acknowledges that organized crime is operating at an unprecedented "pace and scale." However, he notes that international cooperation and Digital Intelligence are starting to yield results: "We are in a much stronger position to identify criminal networks, seize illicit assets, and disrupt activity that harms our communities."
The Core Challenge for 2025 and Beyond: AI is blurring the line between legitimate service and sophisticated trap. Phishing sites, voice messages, video appeals – everything now looks flawless.
Discussion for our community:
What tools and habits do you think are now critical for security? (Hardware wallets, address verification, ignoring "support" on social media?).
Have you seen examples of AI-enhanced fraud in your circles?
Should exchanges and projects implement mandatory "sanity checks" for large transfers?
Share your thoughts in the comments. Forewarned is forearmed. Let's protect our community together.
#Aİ #AI #artificialintelligence

Cześć, społeczność kryptowalut. Porozmawiajmy o nieprzyjemnym, ale krytycznie ważnym temacie. Technologiczny przełom, który zmienia nasz świat, jest teraz aktywnie wykorzystywany przeciwko nam. Mówię o sztucznej inteligencji.
Nowe dane z Chainalysis są szokujące: rok 2025 stał się najgorszym w historii pod względem objętości oszustw kryptowalutowych. Łączne straty przekroczyły 17 miliardów dolarów, a ta liczba ma wzrosnąć o około 24%, gdy odkrywane będą nowe schematy.
Ale najbardziej przerażającą częścią nie są liczby.

AI: Nowe narzędzie wyboru dla oszustów. Straty w kryptowalutach osiągnęły rekordowe poziomy: ponad 17 miliardów dolarów
Cześć, społeczność kryptowalutowa. Porozmawiajmy o nieprzyjemnym, ale krytycznie ważnym temacie. Technologiczny przełom, który zmienia nasz świat, jest teraz aktywnie wykorzystywany przeciwko nam. Mówię o sztucznej inteligencji.
Nowe dane z Chainalysis są szokujące: 2025 rok stał się najgorszym rokiem w historii pod względem objętości oszustw kryptowalutowych. Łączne straty przekroczyły 17 miliardów dolarów, a ta liczba ma wzrosnąć o około 24%, gdy odkrywane będą nowe schematy.

The crypto industry is facing a harsh reality: the same artificial intelligence transforming finance and productivity is now being weaponized by scammers. According to new data from Chainalysis, 2025 is officially the worst year in history for crypto-related fraud, with total losses already exceeding $17 billion — and that number is projected to rise by another 24% as investigations continue.

But the real danger goes beyond headlines and statistics.
Bigger Losses, Deeper Damage

What’s truly alarming is how much more each victim is losing. The average loss per person has jumped from $782 to $2,764, a staggering 253% increase. This shows a clear shift: scams are no longer just high-volume operations — they’re highly targeted, emotionally manipulative, and devastatingly effective.
Why AI Changed the Game
AI has fundamentally reshaped how scams operate:

Higher profits: AI-powered scam operations earn over $3.2 million per scheme, compared to around $719,000 without AI.
Daily income explosion: AI scammers average $4,838 per day, nearly ten times more than traditional fraudsters.
Mass personalization: AI allows criminals to target thousands of victims at once while tailoring messages, tone, and timing to each individual.

Deepfakes, Automation, and Hybrid Attacks
Deepfake audio and video are now mainstream tools in scams. Victims see convincing “investors,” “romantic partners,” or even “exchange representatives” on video calls and trust them completely. These techniques are especially common in romance scams and so-called pig-butchering schemes.

AI also enables automation at scale, where messages, follow-ups, and emotional manipulation are optimized in real time.

Some of the most dangerous attacks now use hybrid methods. In one notable U.S. case, scammers purchased insider customer data, impersonated official support staff, and used highly polished scripts to convince users to move funds to “secure” wallets — which were anything but secure.
Are Authorities Catching Up?

Law enforcement agencies admit they’re under pressure. Organized cybercrime is operating faster and on a larger scale than ever before. However, officials say international cooperation, blockchain analytics, and digital intelligence tools are improving the ability to track networks, freeze assets, and disrupt operations.
The Big Question for the Future
AI has blurred the line between what looks legitimate and what is a trap. Fake websites, flawless voices, and realistic videos are making scams harder to detect than ever.
So the discussion shifts to prevention:

Are hardware wallets and strict address verification now essential?
Should users completely ignore “support” messages on social media?
Should exchanges introduce mandatory sanity checks for large transfers?
The threat is real, but awareness remains the strongest defense. In a world where scams look perfect, skepticism is no longer optional — it’s survival.
Stay alert. Stay informed. Protect your crypto.
#AI #CryptoSecurity #ScamAwareness #Blockchain #ArtificialIntelligence

Hello, crypto community. Let’s address an uncomfortable—but vital—reality. The same technological leap transforming our world is now being weaponized against us: artificial intelligence.
According to new Chainalysis data, 2025 is the worst year ever for crypto fraud. Losses have already exceeded $17 billion, and that number is projected to rise another 24% as more schemes come to light.
But the headline figure isn’t the most alarming part.
What’s truly devastating is the human cost. The average loss per victim has surged from $782 to $2,764—a staggering 253% increase. Scams aren’t just more frequent; they’re far more targeted, extracting significantly more from each victim.
Why is this happening? One word: AI.
The data tells a clear story:
AI-powered scammers earn ~$3.2M per operation, versus ~$719K without AI.
Their average daily income jumps to $4,838, compared with $518 for “traditional” scams.
AI in Action: From Deepfakes to Insider Exploits
Deepfakes are now routine. As JPMorgan warned back in July 2025, realistic fake voices and videos fuel “pig-butchering” and romance scams. Victims see a convincing “investor” or “partner” on a video call—and trust them completely.
Automation + personalization. AI enables scammers to engage thousands of targets at once, tailoring messages to each individual. The scale and speed are unprecedented.
Hybrid attacks. Consider the Brooklyn case (December 2025): a 23-year-old, Ronald Spector, was charged with stealing $16M from Coinbase users. The operation allegedly purchased insider data from a support employee ($250K for details on 70K customers), then posed as support agents using polished, likely AI-assisted scripts to persuade users to move funds to “safe wallets” controlled by the attackers.
What Are Authorities Doing?
Law enforcement is pushing back. Will Lyne, head of London’s Metropolitan Police cybercrime unit, says organized crime now operates at an unprecedented pace and scale. Still, he notes progress: improved international cooperation and digital intelligence are strengthening efforts to identify networks, seize illicit assets, and disrupt criminal operations.
The Core Challenge Ahead
AI is erasing the line between legitimate service and a sophisticated trap. Phishing sites, voice notes, video calls—everything now looks flawless.
Let’s discuss as a community:
What tools and habits are now essential for staying safe? (Hardware wallets, address verification, ignoring “support” on social media?)
Have you encountered AI-enhanced fraud personally?
Should exchanges and projects introduce mandatory “sanity checks” for large transfers?
Share your thoughts below. Forewarned is forearmed. Let’s protect our community—together.

$XRP

AI to obszar, który najbardziej mnie emocjonuje w kryptowalutach. Mimo to wiele osób wciąż traktuje go jako słowo kluczowe, a nie jako rzeczywistą siłę kształtującą przyszłość Web3.

To błąd.

Kryptowaluty i AI zbiegają się w sposób, który podstawowo zmieni sposób działania rynków, sposób interakcji użytkowników z protokołami oraz sposób wdrażania inteligencji bezpośrednio na łańcuchu. Poniżej znajduje się szczegółowy przegląd, gdzie leży rzeczywista wartość, jak Web3 wspiera rozwój AI oraz jakie ryzyka należy mieć na uwadze.

AI x Web3 (Praktyczne przypadki zastosowania)

Dla większości użytkowników to tu zaczyna się rzeczywisty wpływ.