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Gemini AI Hack: Google’s Model Unbelievably Removes Watermarks
In a stunning turn of events in the rapidly evolving world of artificial intelligence, Google’s latest AI model, Gemini, has been discovered to possess a rather controversial yet undeniably impressive capability: AI watermark removal. Social media is buzzing with users showcasing how Gemini, specifically its Gemini 2.0 Flash variant, can effortlessly erase watermarks from images. This includes watermarks from prominent stock media giants like Getty Images, sparking a heated debate about copyright, ethics, and the unforeseen power of AI. For those in the cryptocurrency and digital asset space, where provenance and authenticity are paramount, this development raises critical questions about the future of digital content and intellectual property.
Unveiling Gemini AI’s Unexpected Skill: AI Watermark Removal
Last week marked a significant expansion of access to Google’s Gemini 2.0 Flash model. Alongside its touted image generation prowess, a hidden, or perhaps unintended, skill surfaced: its uncanny ability for AI watermark removal. This experimental feature, intended for image editing, has quickly become a focal point of discussion, and concern. Users are sharing examples across platforms like X (formerly Twitter) and Reddit, demonstrating Gemini’s proficiency in not just removing watermarks but intelligently filling in the gaps left behind, seamlessly reconstructing the original image content. This capability, while technically impressive, treads a fine line, particularly when considering the rights of content creators and copyright holders.
Here’s a glimpse of what users are experiencing:
Effortless Removal: Gemini 2.0 Flash, through simple text prompts, can effectively eliminate watermarks from a wide range of images.
Intelligent Infilling: The AI doesn’t just erase the watermark; it intelligently analyzes the surrounding image data to reconstruct the content that was obscured, making the removal nearly undetectable.
Accessibility: Currently available in Google’s AI Studio, this powerful tool is readily accessible to developers and experimenters, further amplifying its potential reach and impact.
Social media users are showcasing Gemini’s capability, like in these examples:
New skill unlocked: Gemini 2 Flash model is really awesome at removing watermarks in images! pic.twitter.com/6QIk0FlfCv
— Deedy (@deedydas) March 15, 2025
Gemini 2.0 Flash, available in Google’s AI studio, is amazing at editing images with simple text prompts. It also can remove watermarks from images (and puts its own subtle watermark in instead ) pic.twitter.com/ZnHTQJsT1Z
— Tanay Jaipuria (@tanayj) March 16, 2025
The Copyright Conundrum: Is AI Watermark Removal Legal and Ethical?
The ease with which Gemini AI facilitates AI watermark removal throws a spotlight on the murky waters of copyright law in the age of advanced AI. While Google labels Gemini 2.0 Flash’s image generation feature as “experimental” and “not for production use,” the very existence of this capability raises significant ethical and legal questions. Removing a watermark without explicit permission from the copyright holder is widely considered a violation of copyright law in many jurisdictions, including the U.S., except under very specific and limited circumstances.
Consider this:
Perspective Implication for AI Watermark Removal Copyright Holders (e.g., Getty Images) Likely to view AI watermark removal as a direct threat to their business model and intellectual property rights. Watermarks are crucial for protecting their revenue streams and controlling image usage. Content Creators (Photographers, Artists) Watermarks are often used by creators to assert ownership and prevent unauthorized use of their work. AI watermark removal tools undermine these efforts. AI Developers (Google) Face the challenge of balancing innovation with ethical considerations. While technically impressive, features like AI watermark removal require careful consideration of potential misuse and legal ramifications. Users May be tempted to use AI watermark removal for convenience or to access content they would otherwise need to pay for. However, they risk legal repercussions for copyright infringement.
It’s noteworthy that other leading AI models, such as Anthropic’s Claude 3.7 Sonnet and OpenAI’s GPT-4o, have explicitly built in safeguards to prevent AI watermark removal. Claude, for instance, directly labels removing a watermark as “unethical and potentially illegal,” showcasing a contrasting approach to Google’s Gemini. This divergence highlights the ongoing debate within the AI community about responsible development and deployment of powerful image manipulation technologies.
Limitations and Future Implications of AI Watermark Removal
While Gemini AI’s AI watermark removal is undeniably impressive, it’s not without its limitations. Reports indicate that the model struggles with:
Semi-transparent Watermarks: Subtle, semi-transparent watermarks can pose a challenge for complete removal.
Large Canvas Watermarks: Watermarks that cover significant portions of an image may be more difficult to fully and seamlessly erase.
However, as AI technology continues to advance at breakneck speed, it’s reasonable to expect that these limitations will be overcome in future iterations. This raises even more profound questions about the future of digital content security and copyright protection. In the cryptocurrency and NFT space, where digital ownership and authenticity are central, the implications are particularly significant. Imagine the potential misuse of AI watermark removal to fabricate provenance or manipulate digital art for illicit gains.
Navigating the Ethical Maze of AI-Powered Image Manipulation
The emergence of readily available AI watermark removal tools like Gemini 2.0 Flash underscores the urgent need for a broader societal conversation about the ethical and legal boundaries of AI. It’s not just about copyright infringement; it’s about the potential for misuse in various domains, including:
Misinformation and Disinformation: Removing watermarks from images can facilitate the spread of manipulated or fabricated content, eroding trust in visual media.
Intellectual Property Theft: As discussed, it directly threatens the livelihoods of content creators and the business models of stock media agencies.
NFT and Digital Art Fraud: The ability to easily alter images can be exploited to create fraudulent NFTs or manipulate digital artwork, undermining the integrity of the digital art market.
For the cryptocurrency community, this serves as a stark reminder of the double-edged sword nature of technological innovation. While AI offers immense potential for positive applications within the blockchain space, such as enhanced security, fraud detection, and content creation tools, it also presents new avenues for malicious activities. Staying informed and proactive in addressing these challenges is crucial for the responsible growth and adoption of both AI and cryptocurrency technologies.
Conclusion: A Shocking Revelation with Far-Reaching Consequences
Google’s Gemini AI’s unexpected capability for AI watermark removal is more than just a technological curiosity; it’s a wake-up call. It highlights the rapid advancements in AI image manipulation and the urgent need for ethical guidelines, legal frameworks, and technological safeguards to mitigate potential misuse. As we venture further into an AI-driven future, understanding and addressing these challenges will be paramount to ensuring a responsible and trustworthy digital ecosystem. The cryptocurrency world, deeply invested in digital ownership and authenticity, must pay close attention to these developments and actively participate in shaping the ethical trajectory of AI.
To learn more about the latest AI trends, explore our articles on key developments shaping AI features and ethical considerations.
Unveiling Gemini AI’s Unexpected Skill: AI Watermark Removal
Last week marked a significant expansion of access to Google’s Gemini 2.0 Flash model. Alongside its touted image generation prowess, a hidden, or perhaps unintended, skill surfaced: its uncanny ability for AI watermark removal. This experimental feature, intended for image editing, has quickly become a focal point of discussion, and concern. Users are sharing examples across platforms like X (formerly Twitter) and Reddit, demonstrating Gemini’s proficiency in not just removing watermarks but intelligently filling in the gaps left behind, seamlessly reconstructing the original image content. This capability, while technically impressive, treads a fine line, particularly when considering the rights of content creators and copyright holders.
Here’s a glimpse of what users are experiencing:
Effortless Removal: Gemini 2.0 Flash, through simple text prompts, can effectively eliminate watermarks from a wide range of images.
Intelligent Infilling: The AI doesn’t just erase the watermark; it intelligently analyzes the surrounding image data to reconstruct the content that was obscured, making the removal nearly undetectable.
Accessibility: Currently available in Google’s AI Studio, this powerful tool is readily accessible to developers and experimenters, further amplifying its potential reach and impact.
Social media users are showcasing Gemini’s capability, like in these examples:
New skill unlocked: Gemini 2 Flash model is really awesome at removing watermarks in images! pic.twitter.com/6QIk0FlfCv
— Deedy (@deedydas) March 15, 2025
Gemini 2.0 Flash, available in Google’s AI studio, is amazing at editing images with simple text prompts. It also can remove watermarks from images (and puts its own subtle watermark in instead ) pic.twitter.com/ZnHTQJsT1Z
— Tanay Jaipuria (@tanayj) March 16, 2025
The Copyright Conundrum: Is AI Watermark Removal Legal and Ethical?
The ease with which Gemini AI facilitates AI watermark removal throws a spotlight on the murky waters of copyright law in the age of advanced AI. While Google labels Gemini 2.0 Flash’s image generation feature as “experimental” and “not for production use,” the very existence of this capability raises significant ethical and legal questions. Removing a watermark without explicit permission from the copyright holder is widely considered a violation of copyright law in many jurisdictions, including the U.S., except under very specific and limited circumstances.
Consider this:
Perspective Implication for AI Watermark Removal Copyright Holders (e.g., Getty Images) Likely to view AI watermark removal as a direct threat to their business model and intellectual property rights. Watermarks are crucial for protecting their revenue streams and controlling image usage. Content Creators (Photographers, Artists) Watermarks are often used by creators to assert ownership and prevent unauthorized use of their work. AI watermark removal tools undermine these efforts. AI Developers (Google) Face the challenge of balancing innovation with ethical considerations. While technically impressive, features like AI watermark removal require careful consideration of potential misuse and legal ramifications. Users May be tempted to use AI watermark removal for convenience or to access content they would otherwise need to pay for. However, they risk legal repercussions for copyright infringement.
It’s noteworthy that other leading AI models, such as Anthropic’s Claude 3.7 Sonnet and OpenAI’s GPT-4o, have explicitly built in safeguards to prevent AI watermark removal. Claude, for instance, directly labels removing a watermark as “unethical and potentially illegal,” showcasing a contrasting approach to Google’s Gemini. This divergence highlights the ongoing debate within the AI community about responsible development and deployment of powerful image manipulation technologies.
Limitations and Future Implications of AI Watermark Removal
While Gemini AI’s AI watermark removal is undeniably impressive, it’s not without its limitations. Reports indicate that the model struggles with:
Semi-transparent Watermarks: Subtle, semi-transparent watermarks can pose a challenge for complete removal.
Large Canvas Watermarks: Watermarks that cover significant portions of an image may be more difficult to fully and seamlessly erase.
However, as AI technology continues to advance at breakneck speed, it’s reasonable to expect that these limitations will be overcome in future iterations. This raises even more profound questions about the future of digital content security and copyright protection. In the cryptocurrency and NFT space, where digital ownership and authenticity are central, the implications are particularly significant. Imagine the potential misuse of AI watermark removal to fabricate provenance or manipulate digital art for illicit gains.
Navigating the Ethical Maze of AI-Powered Image Manipulation
The emergence of readily available AI watermark removal tools like Gemini 2.0 Flash underscores the urgent need for a broader societal conversation about the ethical and legal boundaries of AI. It’s not just about copyright infringement; it’s about the potential for misuse in various domains, including:
Misinformation and Disinformation: Removing watermarks from images can facilitate the spread of manipulated or fabricated content, eroding trust in visual media.
Intellectual Property Theft: As discussed, it directly threatens the livelihoods of content creators and the business models of stock media agencies.
NFT and Digital Art Fraud: The ability to easily alter images can be exploited to create fraudulent NFTs or manipulate digital artwork, undermining the integrity of the digital art market.
For the cryptocurrency community, this serves as a stark reminder of the double-edged sword nature of technological innovation. While AI offers immense potential for positive applications within the blockchain space, such as enhanced security, fraud detection, and content creation tools, it also presents new avenues for malicious activities. Staying informed and proactive in addressing these challenges is crucial for the responsible growth and adoption of both AI and cryptocurrency technologies.
Conclusion: A Shocking Revelation with Far-Reaching Consequences
Google’s Gemini AI’s unexpected capability for AI watermark removal is more than just a technological curiosity; it’s a wake-up call. It highlights the rapid advancements in AI image manipulation and the urgent need for ethical guidelines, legal frameworks, and technological safeguards to mitigate potential misuse. As we venture further into an AI-driven future, understanding and addressing these challenges will be paramount to ensuring a responsible and trustworthy digital ecosystem. The cryptocurrency world, deeply invested in digital ownership and authenticity, must pay close attention to these developments and actively participate in shaping the ethical trajectory of AI.
To learn more about the latest AI trends, explore our articles on key developments shaping AI features and ethical considerations.
While all the bloggers were raving about the moon and calling to buy meme coins and other 'promising' coins like $SOL , I calmly talked about how distribution was taking place on them. That is, this is a phase where large holders sell their assets to weak hands.
The market works to take money away, not to distribute it to the population; this must be remembered even when you are in profit.
You need to protect not only the profit; in some cases, it is necessary to take a loss as well. For this, there are stop losses, which newcomers are reluctant to use, and in the end, they get liquidated. Futures are just air, a bet on one side, which professionals use, but with clear risk management.
What can be said about $BTC and the legend of digital gold or attempts to make easy money on $TRUMP just because Donald became president.
All of this is played out in advance, and the crowd is always led to the slaughter. Beware of crowds in the instrument and steer clear of such traps.
Many listened right away, some a little later, and I am glad that this helped someone.
I saw all these future dumps on the chart in advance and did not remain silent, although in response I heard not-so-flattering comments.
The market will judge everyone. Wishing you well 👌🏼
The market works to take money away, not to distribute it to the population; this must be remembered even when you are in profit.
You need to protect not only the profit; in some cases, it is necessary to take a loss as well. For this, there are stop losses, which newcomers are reluctant to use, and in the end, they get liquidated. Futures are just air, a bet on one side, which professionals use, but with clear risk management.
What can be said about $BTC and the legend of digital gold or attempts to make easy money on $TRUMP just because Donald became president.
All of this is played out in advance, and the crowd is always led to the slaughter. Beware of crowds in the instrument and steer clear of such traps.
Many listened right away, some a little later, and I am glad that this helped someone.
I saw all these future dumps on the chart in advance and did not remain silent, although in response I heard not-so-flattering comments.
The market will judge everyone. Wishing you well 👌🏼
#chaiink
Trading Heights
--
💎Why Chainlink ($LINK) is a Must-Have Investment
➡️ Web2 to Web3 Transition: As traditional companies adopt Web3 with tokenized products, Chainlink is the go-to solution for seamless integration.
➡️ Core Infrastructure: $LINK connects off-chain data with blockchain networks, enabling real-world utility and value creation.
➡️ Blue-Chip Potential: Chainlink is a proven leader in the decentralized oracle space, critical for smart contract functionality.
➡️ Expanding Use Cases: Growing adoption across industries showcases $LINK's essential role in Web3's future.
➡️ Bullish Opportunity: With its foundational position in the Web3 ecosystem, $LINK is positioned for long-term growth.
Super bullish on $LINK!
➡️ Core Infrastructure: $LINK connects off-chain data with blockchain networks, enabling real-world utility and value creation.
➡️ Blue-Chip Potential: Chainlink is a proven leader in the decentralized oracle space, critical for smart contract functionality.
➡️ Expanding Use Cases: Growing adoption across industries showcases $LINK's essential role in Web3's future.
➡️ Bullish Opportunity: With its foundational position in the Web3 ecosystem, $LINK is positioned for long-term growth.
Super bullish on $LINK!
See original
#AI#aptos
Mpost Media Group
--
The Perfect Solution for Ethical AI Training Lies in Blockchain Technology
In recent discussions regarding digital innovation, the relationship between blockchain and artificial intelligence has been a hot topic. Aptos co-founder and chief technology officer Avery Ching emphasized how blockchain may offer transparent permission procedures for the usage of material in AI training. Speaking at India Blockchain Week 2024, Ching made a strong argument for using blockchain technology to improve control over the training of AI models, especially when it comes to the usage of ethical data.
Control and Consent in the Training of AI Models
Large volumes of data are essential for training artificial intelligence, especially large language models (LLMs). Although the sources of this data are frequently openly accessible, issues with permission and intellectual property rights are still up for debate. This is a crucial area where blockchain might have a huge impact, according to Ching. Content producers might establish clear guidelines for whether and how their work is utilized for AI training by utilizing the immutable and decentralized characteristics of blockchain technology.
All parties can observe the terms under which content is utilized because of blockchain’s transparecy. For creators, whose work is frequently utilized without their consent, this might promote a more fair atmosphere. Ching highlighted that blockchain is the perfect “back end” for controlling such rights since it offers a centralized yet safe form of governance.
The Significance of Blockchain in Contemporary AI Issues
Although blockchain and artificial intelligence are frequently discussed in IT circles, Ching stressed that their combined potential is more than just hype. He emphasized how crucial it is to comprehend and control the data used to train AI systems, and he proposed that blockchain technology may serve as a barrier against the illegitimate or immoral use of material.
Ching used an example from the India Blockchain Week conference itself to demonstrate this. AI models could be trained using event content, whether it be video footage or news article summaries. This raises the question of whether training materials of this kind should be publicly accessible or if there should be controls on how they are used. Through the direct integration of usage rights into digital material, blockchain may offer the necessary infrastructure to address this query.
The Problem of Scalability
Major scalability concerns are brought up by the use of blockchain for consent management in AI training. Applying blockchain-based permission to each individual piece of data is difficult since social media platforms like Facebook and others create billions of pieces of data every day. Ching, a former employee of Meta, recognized this difficulty, pointing out that putting blockchain regulations in place would need a large transaction volume and may be expensive.
Ching was upbeat about blockchain’s potential in this field in spite of these challenges. Aptos is currently developing solutions to serve these use cases via its blockchain network, he noted. Ching thinks blockchain may become a practical solution for handling AI training data at scale by maximizing transaction efficiency and cutting expenses.
Applications Beyond AI Training
Although Ching’s comments mostly addressed AI training, there are other possible uses for blockchain in content management. Blockchain-enabled technologies might help independent authors, news outlets, and social media platforms manage the usage of their material. For example, using blockchain-enabled smart contracts, individuals might explicitly give or refuse authorization for particular activities, such as data mining or commercial exploitation.
This strategy could also aid in addressing more general issues of data privacy and intellectual property. Blockchain has the potential to give people and organizations more control over their digital footprints by offering a transparent and safe foundation. This degree of oversight could become more crucial as AI develops in order to guarantee moral data usage practices.
Setting a New Benchmark for the Development of Ethical AI
As models become more sophisticated and popular, there is increasing worry about the ethical implications of AI training. There is a chance that unfair activities, including taking use of authors’ intellectual property without paying them, may continue if there are unclear guidelines for permission. By allowing content producers to clearly and legally define the conditions of use for their creations, blockchain presents an appealing solution.
Ching’s idea is in line with a larger movement for moral AI development that places an emphasis on creators’ rights and respect. Blockchain integration into AI training processes might lead to the creation of a new standard that strikes a balance between the rights of people and organizations and the necessity for innovation.
The post The Perfect Solution for Ethical AI Training Lies in Blockchain Technology appeared first on Metaverse Post.
Control and Consent in the Training of AI Models
Large volumes of data are essential for training artificial intelligence, especially large language models (LLMs). Although the sources of this data are frequently openly accessible, issues with permission and intellectual property rights are still up for debate. This is a crucial area where blockchain might have a huge impact, according to Ching. Content producers might establish clear guidelines for whether and how their work is utilized for AI training by utilizing the immutable and decentralized characteristics of blockchain technology.
All parties can observe the terms under which content is utilized because of blockchain’s transparecy. For creators, whose work is frequently utilized without their consent, this might promote a more fair atmosphere. Ching highlighted that blockchain is the perfect “back end” for controlling such rights since it offers a centralized yet safe form of governance.
The Significance of Blockchain in Contemporary AI Issues
Although blockchain and artificial intelligence are frequently discussed in IT circles, Ching stressed that their combined potential is more than just hype. He emphasized how crucial it is to comprehend and control the data used to train AI systems, and he proposed that blockchain technology may serve as a barrier against the illegitimate or immoral use of material.
Ching used an example from the India Blockchain Week conference itself to demonstrate this. AI models could be trained using event content, whether it be video footage or news article summaries. This raises the question of whether training materials of this kind should be publicly accessible or if there should be controls on how they are used. Through the direct integration of usage rights into digital material, blockchain may offer the necessary infrastructure to address this query.
The Problem of Scalability
Major scalability concerns are brought up by the use of blockchain for consent management in AI training. Applying blockchain-based permission to each individual piece of data is difficult since social media platforms like Facebook and others create billions of pieces of data every day. Ching, a former employee of Meta, recognized this difficulty, pointing out that putting blockchain regulations in place would need a large transaction volume and may be expensive.
Ching was upbeat about blockchain’s potential in this field in spite of these challenges. Aptos is currently developing solutions to serve these use cases via its blockchain network, he noted. Ching thinks blockchain may become a practical solution for handling AI training data at scale by maximizing transaction efficiency and cutting expenses.
Applications Beyond AI Training
Although Ching’s comments mostly addressed AI training, there are other possible uses for blockchain in content management. Blockchain-enabled technologies might help independent authors, news outlets, and social media platforms manage the usage of their material. For example, using blockchain-enabled smart contracts, individuals might explicitly give or refuse authorization for particular activities, such as data mining or commercial exploitation.
This strategy could also aid in addressing more general issues of data privacy and intellectual property. Blockchain has the potential to give people and organizations more control over their digital footprints by offering a transparent and safe foundation. This degree of oversight could become more crucial as AI develops in order to guarantee moral data usage practices.
Setting a New Benchmark for the Development of Ethical AI
As models become more sophisticated and popular, there is increasing worry about the ethical implications of AI training. There is a chance that unfair activities, including taking use of authors’ intellectual property without paying them, may continue if there are unclear guidelines for permission. By allowing content producers to clearly and legally define the conditions of use for their creations, blockchain presents an appealing solution.
Ching’s idea is in line with a larger movement for moral AI development that places an emphasis on creators’ rights and respect. Blockchain integration into AI training processes might lead to the creation of a new standard that strikes a balance between the rights of people and organizations and the necessity for innovation.
The post The Perfect Solution for Ethical AI Training Lies in Blockchain Technology appeared first on Metaverse Post.
koinmilyoner
--
Bullish
Bitcoin Falls As Market Awaits US Election Results
Bitcoin may have crashed pre-election. It fell about 3.64% in a few days and is presently below $70,000. Many are calling this steep decrease to $68,000 the “biggest Bitcoin crash,” signifying the start of Bitcoin's worst slump.
Market analytics platform Santiment highlighted the Bitcoin drop and investors' diminishing non-empty wallets. The analytical platform shows 211,540 fewer addresses than three weeks previously. This enormous drop is an indication of extreme Fear, Uncertainty, and Doubt (FUD) usually linked with bullish performance and a pressured market.
As retail and institutional investors await US Presidential election results, the crypto market is in uncertainty. Even huge Bitcoin investors, known as "Whales," have taken a "Wait-And-See" approach as they carefully monitor how the US election affects the market.
Santiment says that Bitcoin whales have reduced transaction activity, indicating market sentiment has changed. Bitcoin whales are eagerly awaiting the US Presidential election results as their activity subsides following last week's rise at crypto's peak, according to market intelligence.
Many crypto traders and investors are bracing for market volatility and uncertainty as the US elections results begin to roll in today. X (previously Twitter) mentions of presidential candidate Donald Trump, who has crypto community backing, have increased.
US Presidential Elections Could Impact BTC Price
Many crypto specialists have different expectations for the crypto market following the US presidential elections. Investors and crypto specialists are monitoring the market for developments as Kamala Harris and Trump run for president.
Bitcoin rose 2,714% after former President Trump won the US election, according to Crypto Rover. If Trump wins the election and Bitcoin price rises, the expert predicts that Bitcoin may be worth $2 million by 2025.
Bitcoin may have crashed pre-election. It fell about 3.64% in a few days and is presently below $70,000. Many are calling this steep decrease to $68,000 the “biggest Bitcoin crash,” signifying the start of Bitcoin's worst slump.
Market analytics platform Santiment highlighted the Bitcoin drop and investors' diminishing non-empty wallets. The analytical platform shows 211,540 fewer addresses than three weeks previously. This enormous drop is an indication of extreme Fear, Uncertainty, and Doubt (FUD) usually linked with bullish performance and a pressured market.
As retail and institutional investors await US Presidential election results, the crypto market is in uncertainty. Even huge Bitcoin investors, known as "Whales," have taken a "Wait-And-See" approach as they carefully monitor how the US election affects the market.
Santiment says that Bitcoin whales have reduced transaction activity, indicating market sentiment has changed. Bitcoin whales are eagerly awaiting the US Presidential election results as their activity subsides following last week's rise at crypto's peak, according to market intelligence.
Many crypto traders and investors are bracing for market volatility and uncertainty as the US elections results begin to roll in today. X (previously Twitter) mentions of presidential candidate Donald Trump, who has crypto community backing, have increased.
US Presidential Elections Could Impact BTC Price
Many crypto specialists have different expectations for the crypto market following the US presidential elections. Investors and crypto specialists are monitoring the market for developments as Kamala Harris and Trump run for president.
Bitcoin rose 2,714% after former President Trump won the US election, according to Crypto Rover. If Trump wins the election and Bitcoin price rises, the expert predicts that Bitcoin may be worth $2 million by 2025.
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#pepe, #spot
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📢 Share Your Trades to Unlock 5,000 USDC Rewards!
The #TradeStories Trade Sharing Challenge is live. Showcase your trading skills, share your strategies, and earn your share of 5,000 USDC in rewards!
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