BlockGPT, a Web3 firm that emulates OpenAI's popular chatbot service, ChatGPT, has been exposed as a fraudulent project, resulting in the loss of $256,000 in pre-sale funds. CertiK, a blockchain security company, confirmed the rug pull, and PeckShield provided additional evidence by revealing that over 800 BNB raised in a presale contract were transferred to Tornado Cash.

The controversy escalated when a paid press release from BlockGPT made its way onto Bloomberg's website without a proper disclaimer. The article lacked clear indications that it was a sponsored content piece, raising concerns about Bloomberg's oversight. Blockfence, a security aggregation provider, criticized Bloomberg on Twitter, calling for more prominent disclaimers and due diligence to prevent the publication of scam projects.

BlockGPT issued a press release outlining its objective of developing a blockchain-based AI system akin to ChatGPT. The project introduced two tokens: the governance token, BGPT, intended to incentivize individuals contributing questions and data, and AIBGPT, a community-based governance token created by BlockGPT AI using the Solidity contract and deployed on the Binance Smart Chain network. Reports have emerged suggesting that the latter token may be unsellable or a honeypot.

The popularity of ChatGPT has attracted scammers seeking to exploit the AI technology's success. A recent investigation by Unit 42 researchers revealed a significant increase in domain registrations related to ChatGPT, with a 910% rise from November 2022 to early April 2023. Additionally, there was a staggering 7,818% growth in related squatting domains based on DNS Security logs during the same period. The researchers also detected 118 malicious URLs associated with ChatGPT on a daily basis, highlighting the alarming increase in potential threats.

#feed #Binancefeed #chatgpt4 #openai #aicrypto

Welcome to the realm of crypto profits powered by AI!

In this guide, I'll unveil five incredible ways I'm leveraging the magic of artificial intelligence (AI) to stack up the digital dough in the exciting world of cryptocurrencies.

Let's dive into the future of crypto together! 🚀💻🔥

AI-Powered Trading Bots🤖:

With AI-powered trading bots by my side, I've unlocked the ability to execute trades with lightning speed and precision. These bots analyze market trends, crunch numbers faster than you can say "crypto moolah," and strike when the iron's hot.

It's like having an army of AI assistants working tirelessly to boost my profits while I sit back and enjoy the show.

Predictive Analytics 📊:

Decrypting Crypto Trends🔍 Unlock the secrets of the crypto crystal ball! Thanks to AI's predictive analytics, I can peer into the future of crypto like a digital fortune-teller. By harnessing the power of advanced algorithms and data analysis, AI models forecast price movements and market trends. Armed with this digital divination, I make informed decisions and stay one step ahead of the crypto game. It's like having a personal AI oracle guiding me toward financial abundance.

Sentiment Analysis😄:

Ride the Wave of Market Emotions 😢 Crypto markets are a wild rollercoaster of emotions, my friend. But fear not! With AI's sentiment analysis, I'm equipped to ride the waves of market feelings like a pro surfer. By analyzing social media, news articles, and online chatter, AI algorithms gauge the collective sentiment of the crypto community. Whether it's euphoria or panic, I navigate the emotional tides to make strategic moves and maximize my gains. Embrace the power of emotional intelligence in the crypto realm!

Portfolio Optimization📈: Master the Art of Balance 🌟 Building a strong crypto portfolio is an art, my fellow enthusiasts. Luckily, AI is my artistic companion! With its sophisticated algorithms, AI evaluates different cryptocurrencies, assesses risks, and discovers correlations to create the ultimate balance in my portfolio. It's like having a digital curator arranging the perfect ensemble of coins, maximizing returns while minimizing exposure to volatility. Keep your crypto collection in tune with AI's harmony.

Fraud Detection🕵️‍♂️: Safeguard Your Crypto Kingdom 🔒 In the realm of crypto, scammers lurk in the shadows, ready to pounce on the unsuspecting. Fear not, for AI is my guardian against these mischievous villains. AI-powered fraud detection systems act as my vigilant protectors, sniffing out suspicious activities and safeguarding my digital treasure. With AI by my side, I can sleep soundly, knowing that my hard-earned crypto is shielded from the dark forces of fraud. Keep calm and let AI tackle the bad guys!

Conclusion:

In the exciting era of 2023, AI has become my trusted companion on the journey to crypto riches💪 . Through AI-powered trading bots, predictive analytics, sentiment analysis, portfolio optimization, and fraud detection, I've harnessed the power of AI to navigate the crypto landscape with confidence and success💰. So, embrace the AI revolution, my friends, and let it be your passport to a profitable crypto future.🤖

#crypto2023 #dyor #cryptocurrency #aicrypto #googleai

In today's rapidly advancing scientific and technological developments, Meta, one of the leading names among social media platforms, has been directed towards new frontiers. The company, which recently changed its name to Meta, is moving forward with a vision to lead the transformation of the future digital world by focusing on areas such as virtual reality and artificial intelligence.

Meta's Resolute Vision:

After announcing the company's new name and vision, CEO Mark Zuckerberg presented a new financial report to the public, providing insights into the company's current situation. The report stated that Meta would continue its investments in Metaverse and artificial intelligence despite the challenges. Particularly, investments in the concept of the Metaverse have contributed to the company's popularity and ushered in a new era in the digital world. However, it was also noted that virtual world investments faced a decline due to the devaluation of metaverse coins. #CEO

Zuckerberg emphasized that despite adversities, the company remains committed to its vision and will continue to progress with a focus on the Metaverse. He highlighted significant investments in artificial intelligence, stating that these two domains complement and intersect with each other, and the company has been working on them for many years. #metaversenews #aicrypto

Reality Labs' Situation:

Reality Labs, Meta's unit operating in the field of virtual reality, has experienced losses in recent times. Nevertheless, Zuckerberg emphasized that the company thinks long-term and underscored the importance of moving towards the direction of the metaverse and artificial intelligence. According to the financial report released last year, Reality Labs generated $2.2 billion in revenue but faced a net loss of $13.7 billion. #RealityLabs

New Financial Report and Future Hopes:

The new financial report of Meta showed a quarterly net income of $7.79 billion, demonstrating the positive results of the company's steadfast progress in the Metaverse and artificial intelligence domains. Zuckerberg acknowledged that he is unsure whether they will be proven right in the future, but he stated that the company will continue to draw attention with its determination and vision in this field.

Meta's Future:

In an era where scientific and technological advancements are rapidly progressing, it is believed that Meta's efforts in the Metaverse and artificial intelligence domains will further deepen the digital world and transform human experiences in the future. However, it should not be forgotten that long-term planning and patience are crucial for success. Meta's resolute vision and investments generate excitement and anticipation for their future breakthroughs.

In Summary:

As one of the world's leading social media platforms, Meta continues to focus on the future by directing its efforts towards the Metaverse and artificial intelligence. The company's long-term vision signals its potential to make significant contributions to the transformation of the digital world in a time when scientific and technological developments are constantly advancing. Meta's future breakthroughs and successes are eagerly awaited. #meta

AI (Artificial Intelligence) can be used in various ways within the crypto industry, such as:

Fraud Detection: AI can be used to detect fraudulent activities in crypto transactions, as it can analyze large amounts of data to identify patterns and anomalies.

Trading Strategies: AI can be used to analyze market data and create trading strategies based on historical patterns, sentiment analysis, and other factors.

Security: AI can be used to improve security in crypto by analyzing network traffic to identify potential security threats and vulnerabilities.

Market Predictions: AI can be used to analyze market trends and predict future prices of cryptocurrencies, which can help traders make informed investment decisions.

Mining Optimization: AI can be used to optimize cryptocurrency mining operations by analyzing data on energy consumption and performance to increase efficiency.

Overall, AI can help improve the efficiency, security, and profitability of crypto operations, making it an important tool in the industry.

#ai #aicrypto #crypto #rajeevanand #cryptomarg

Recently, I sought advice from ChatGPT to develop a trading strategy to turn $100 into $10,000 as quickly as possible. While the initial suggestions were generic, I decided to be more specific and requested a strategy using an AI-based trading view indicator called Machine Learning KNN. This article will provide a detailed step-by-step guide to setting up and testing the strategy to determine its effectiveness.

Step 1: Opening Charts and Adding Indicators Before testing the strategy, we need to add the necessary indicators to the trading chart. The strategy includes three free trading tools, which we will add one by one.

To begin, open a trading chart on your preferred trading platform or software. This could be a platform like TradingView or any other charting software that supports the indicators mentioned in the strategy.

Once you have opened the chart, locate the option to add indicators or tools to your chart. This is typically represented by an icon that resembles a chart or a plus sign (+). Click on this icon to access the indicator library.

Step 2: Adding the Machine Learning KNN Indicator The first indicator we will add is the Machine learning-based KNN strategy. This indicator analyzes historical market data and predicts future price movements based on patterns. It utilizes the K-nearest neighbors (KNN) classification algorithm to determine whether a stock price is likely to go up or down.

In the indicator library, search for the Machine Learning KNN indicator. This indicator may have been created by a specific developer or author, so it's important to know its exact name or the name of the author who developed it.

Once you have found the Machine Learning KNN indicator, click on it to add it to your chart. Depending on the platform or software you are using, there may be options to customize the settings or parameters of the indicator. Take a moment to familiarize yourself with these options and adjust them as necessary based on your preferences or the default settings recommended for the strategy.

The Machine Learning KNN indicator will now be displayed on your chart, analyzing historical market data and providing predictions about future price movements based on patterns it has identified. Pay attention to the signals or labels generated by the indicator, as these will guide your trading decisions.

Step 3: Understanding the EMA Ribbon Indicator To filter out false signals, we will add the EMA Ribbon indicator by Dominic or Selecti. The Exponential Moving Average (EMA) Ribbon consists of multiple EMAs with different time periods stacked on top of each other. This tool helps identify the direction and strength of a trend in the market.

Step 4: Adding Relative Strength Index (RSI) To further confirm valid trade entries, we will use the Relative Strength Index (RSI). The RSI measures the strength of a security's price action and ranges from 0 to 100. We will make the RSI more sensitive by adjusting the upper and lower bands to 60 and 40, respectively.

Step 5: Entry Conditions for Long Trades To open a long trade, the following conditions must be met:

The price must close above the 200 EMA.

The EMA Ribbon must be above the 200 EMA and green.

Price must pull back into the ribbon without closing below the long-term EMA.

The Machine Learning KNN strategy must print a blue label.

The RSI must be oversold prior to the buy signal.

Step 6: Setting Stop-Loss and Profit Targets for Long Trades Once the conditions for a long trade are met, set the stop loss below the recent swing low and target a profit of two times the risk. Once the trade has reached 1/4 of the profit target, adjust the stop loss to the break-even price.

Step 7: Entry Conditions for Short Trades To open a short trade, the following conditions must be met:

Price and the EMA The ribbon must fall below the 200 EMA, and the ribbon must turn red.

Price must pull back into the ribbon without closing above the 200 EMA.

The RSI must become overbought during the pullback.

Machine Learning KNN must provide a sell signal, excluding cases when the RSI is oversold.

Step 8: Setting Stop-Loss and Profit Targets for Short Trades For short trades, set the stop loss above the recent swing high and target a profit of two times the risk. Move the stop loss to the break-even point once 1/4 of the profit is made.

Step 9: Backtesting and Results With the setup complete, proceed to backtest the strategy using the price of Ethereum on a 3-minute timeframe. Execute the strategy 100 times and record the results. In this specific case, the starting account balance of $100 increased to $19,527 after 100 trades.

Requesting Specific Advice from ChatGPT: Initially, ask ChatGPT to provide a trading strategy to turn $100 into $10,000 as quickly as possible. You will receive some general tips, such as focusing on highly volatile assets, using technical analysis, and maintaining disciplined trading practices. However, you want more specific guidance.

Step 2: Refining the Question for ChatGPT To obtain more targeted advice, you need to be more specific in your question. So ask ChatGPT to create the best strategy using an AI-based trading view indicator called Machine Learning. This indicator is very popular and viral.

Conclusion: While this strategy involves higher risk due to the 5% risk per trade, it can help grow a small account rapidly. However, it is crucial to conduct forward testing on a paper account before implementing it with real funds. Remember, risk management and thorough testing are vital aspects of successful trading.

#crypto2023 #aicrypto