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🚀Top Project From Recent Funding Round 💰 Nillion 🚀🎉 Nillion has just secured $25.00M in its latest funding round! 🎉 🔹About: Nillion aiming to decentralize trust for sensitive data in the same way that blockchains decentralized transactions. The project introduces the concept of "Blind Computation," which uses privacy-enhancing technologies (PETs) like multi-party computation (MPC), fully homomorphic encryption (FHE), and zero-knowledge proofs (ZKP) to process data securely and confidentially. Nillion's decentralized network of nodes enables secure and private data processing, making it ideal for applications in AI, healthcare, decentralized trading, and identity management. The platform's native token, NIL, powers the network and facilitates various transactions and interactions. Headquartered in Brussels, Belgium, Nillion has raised significant funding and partnered with over 35 companies to build on its network.🚀🌐 🔹 Lead Investors: Hashkey Capital, Distributed Global, Arthur Hayes, Hack VC, AU21 Capital and many more. 🔹 Total Raised: $65.00M. 🔹 Project Category: AI, DePIN, Social. 🌟If You find this useful Repost, Save, Share it with friends & Follow us for More Latest Crypto Analysis, News, Updates & Crypto Insights @crypto_fossa 🦁🙏🏻 #BinanceTurns7 #WeAreAllSatoshi #ArtificialInteligence #DePIN #data $IO {spot}(IOUSDT) $RENDER {spot}(RENDERUSDT) $TAO {spot}(TAOUSDT)

🚀Top Project From Recent Funding Round 💰 Nillion 🚀

🎉 Nillion has just secured $25.00M in its latest funding round! 🎉
🔹About: Nillion aiming to decentralize trust for sensitive data in the same way that blockchains decentralized transactions. The project introduces the concept of "Blind Computation," which uses privacy-enhancing technologies (PETs) like multi-party computation (MPC), fully homomorphic encryption (FHE), and zero-knowledge proofs (ZKP) to process data securely and confidentially. Nillion's decentralized network of nodes enables secure and private data processing, making it ideal for applications in AI, healthcare, decentralized trading, and identity management. The platform's native token, NIL, powers the network and facilitates various transactions and interactions. Headquartered in Brussels, Belgium, Nillion has raised significant funding and partnered with over 35 companies to build on its network.🚀🌐
🔹 Lead Investors: Hashkey Capital, Distributed Global, Arthur Hayes, Hack VC, AU21 Capital and many more.
🔹 Total Raised: $65.00M.
🔹 Project Category: AI, DePIN, Social.
🌟If You find this useful Repost, Save, Share it with friends & Follow us for More Latest Crypto Analysis, News, Updates & Crypto Insights @Crypto Simbha 🦁🙏🏻
#BinanceTurns7 #WeAreAllSatoshi #ArtificialInteligence #DePIN #data $IO
$RENDER
$TAO
Top 5 Undervalued AI x Crypto Projects in 2024As of October 2024, the AI x Crypto narrative gained insane momentum, getting more than 45% of the total crypto narrative. This, paired with the fact that AI is the hottest narrative in all tech, with VCs spending one-third of every dollar on AI startups, makes AI x Crypto projects the most interesting on the market.  In today’s article, we’ll give you the most popular AI crypto projects of 2024. Enjoy!   Why is AI x Crypto So Popular?  AI x Crypto is gaining popularity as we move into 2025, primarily due to the combination of the hottest technologies in the world right now. This combination of AI and blockchain technology has created a thriving market that attracts both tech enthusiasts and investors. The emergence of advanced language models, like GPT-5, Gemini, and Claude, has further strengthened the AI narrative in crypto. These models demonstrate AI’s capabilities and potential, increasing interest in projects combining AI and blockchain.  The popularity of AI x Crypto is also fueled by the market’s potential for growth. As integration deepens, demand for AI-based tokens is expected to increase, with some speculating a lasting rally for AI crypto coins.  For more than 3 months, AI x Crypto has been the most profitable narrative in crypto. As for November 2024, AI tokens showed an average of +24%, which is well above the trailing narratives like memecoins and RWAs.  Top 5 AI x Crypto Projects Here are the top 5 most interesting AI x Crypto projects on the market right now:  Kolz Kolz is an innovative Web3 platform that connects cryptocurrency and blockchain influencers, known as Key Opinion Leaders (KOLs), with their followers. With the help of Sensay’s advanced AI replication technology, Kolz allows influencers to create digital replicas that embody their knowledge, expertise, and personality.  These AI-powered replicas provide followers with unique, personalized interactions, offering insights and strategies directly from the KOLs.  With Kolz, subscribers gain one-on-one access to their favourite influencers' expertise, fostering deeper engagement, education, and growth within the Web3 space, while empowering influencers to expand their impact. Kolz’s ecosystem is powered by $KOLZ, their native and utility token. The $KOLZ token offers several utilities within the Kolz ecosystem. Users can enjoy up to 50% discounts when paying for services with $KOLZ.  Additionally, engaging with AI replicas on the platform can earn users $KOLZ tokens through reward mechanisms. The token also plays a key role in community engagement, with airdrops, rewards, and other activities incentivizing participation.  $KOLZ serves as the primary currency, enhancing both user experience and interaction within the Kolz platform. PAAL AI PAAL AI is an innovative AI-powered chatbot ecosystem built on the Ethereum blockchain. It enables users to create, train, and deploy custom chatbots for various applications, offering businesses, developers, and individuals a versatile solution in the chatbot landscape. One of PAAL AI’s main features is the customization of chatbots. Users can design and train chatbots tailored to their specific needs, seamlessly integrating them into existing workflows or communication channels. This flexibility makes PAAL AI valuable for customer service, sales, marketing, and more. Blockchain integration is another essential aspect. PAAL AI uses blockchain to ensure transparency, security, and immutability of data associated with chatbot interactions, fostering trust within the ecosystem. The native $PAAL token incentivizes user activity, allowing users to earn tokens through chatbot interactions, referrals, and contributions to the community. The platform is designed to benefit several user groups: Businesses can improve customer engagement and streamline operations with custom chatbots.Developers gain tools and infrastructure to create AI chatbots, unlocking new opportunities.Individuals can create personalized chatbots for productivity, language learning, or entertainment. While PAAL AI’s vision for the future is ambitious, it faces challenges from established chatbot platforms and rapid advancements in AI technology. Autonolas Autonolas is building a platform to develop innovative autonomous services that feature independent decision-making, cross-blockchain interactions, and native crypto attributes. The project’s ecosystem is centred around three main components: Open Autonomy, the Autonolas Protocol, and a range of development toolkits. Open Autonomy is a framework for creating off-chain autonomous services that operate as multi-agent systems, bringing advanced on-chain capabilities that extend beyond the limitations of standard smart contracts. The Autonolas Protocol, a set of smart contracts, provides a secure and organized system for managing and verifying software on public blockchains. It incentivizes developers based on their contributions to the ecosystem’s growth. Initially launched on Ethereum, the protocol now also operates on Solana, Polygon, Arbitrum, and other blockchains. At the core of this ecosystem is $OLAS, Autonolas’s native token. Users can stake $OLAS to run off-chain services and gain governance rights, actively influencing network development. Additionally, $OLAS fuels a unique developer incentive system aimed at expanding the ecosystem’s autonomous services. ChainGPT ChainGPT is a powerful AI model tailored for blockchain and crypto applications. Running on the BNB Smart Chain, ChainGPT offers comprehensive tools for AI-driven trading, risk management, and analytics, supporting businesses, developers, and individual users.  Designed for maximum versatility, it features a chart and technical analysis tool, smart contract generator, AML tools, and a documentation creator, giving users a reliable edge in crypto. An intuitive AI Chatbot, available on both the web and Telegram, leverages natural language processing to answer questions, conduct market analysis, and guide users through blockchain-related tasks.  Additionally, ChainGPT’s staking and farming programs allow users to earn rewards with its CGPT tokens, while a burn mechanism reduces token supply over time, helping to support its value. ChainGPT’s toolkit includes an AI NFT generator that creates digital art in seconds, and a smart contract auditor that scans for vulnerabilities.  Security is enhanced with CryptoGuard, an anti-phishing and fraud detection tool, while a “Prompt Market” lets users instruct the AI to complete specific tasks, such as market analysis, bot scripting, and contract development.  Xally Xally is a blockchain-based platform that simplifies AI access and development. Built on Bitcoin Layer 2, Xally ensures that AI applications are transparent, scalable, and secure.  Through its ecosystem, Xally addresses critical challenges in AI by providing user-friendly interfaces, standardized evaluation methods, and enhanced GPU access for training and running AI models. The Xally platform has four primary layers. Infrastructure: Xally leverages Bitcoin's security with an efficient infrastructure, integrating high-performance GPUs to power advanced AI functions.AI Resources: Xally’s AIaaS allows organizations to access and customize AI models for their needs without the high costs of infrastructure. It also includes tools tailored to crypto applications, like a specialized LLM for crypto research.AI Agents for Crypto: Xally provides pre-built AI agents for specific tasks in cryptocurrency, such as market analysis and smart contract auditing, improving efficiency and accuracy in decision-making.Application Layer: Here, developers can build AI-powered dApps, including Xally’s launchpad for funding new projects. The platform uses its native $XALLY token for transactions, staking, and operations. Token holders can participate in governance, earn staking rewards, and access reduced fees on Xally’s dApps.  With its structured ecosystem, Xally empowers developers, businesses, and users to seamlessly leverage AI and blockchain, pushing innovation in cryptocurrency and Web3. #AiNarratives #ArtificialInteligence #CryptoAIRevolution #CryptoAI2024

Top 5 Undervalued AI x Crypto Projects in 2024

As of October 2024, the AI x Crypto narrative gained insane momentum, getting more than 45% of the total crypto narrative.

This, paired with the fact that AI is the hottest narrative in all tech, with VCs spending one-third of every dollar on AI startups, makes AI x Crypto projects the most interesting on the market. 
In today’s article, we’ll give you the most popular AI crypto projects of 2024. Enjoy!  
Why is AI x Crypto So Popular? 
AI x Crypto is gaining popularity as we move into 2025, primarily due to the combination of the hottest technologies in the world right now. This combination of AI and blockchain technology has created a thriving market that attracts both tech enthusiasts and investors.
The emergence of advanced language models, like GPT-5, Gemini, and Claude, has further strengthened the AI narrative in crypto. These models demonstrate AI’s capabilities and potential, increasing interest in projects combining AI and blockchain. 
The popularity of AI x Crypto is also fueled by the market’s potential for growth. As integration deepens, demand for AI-based tokens is expected to increase, with some speculating a lasting rally for AI crypto coins. 
For more than 3 months, AI x Crypto has been the most profitable narrative in crypto. As for November 2024, AI tokens showed an average of +24%, which is well above the trailing narratives like memecoins and RWAs. 
Top 5 AI x Crypto Projects
Here are the top 5 most interesting AI x Crypto projects on the market right now: 
Kolz
Kolz is an innovative Web3 platform that connects cryptocurrency and blockchain influencers, known as Key Opinion Leaders (KOLs), with their followers.
With the help of Sensay’s advanced AI replication technology, Kolz allows influencers to create digital replicas that embody their knowledge, expertise, and personality. 
These AI-powered replicas provide followers with unique, personalized interactions, offering insights and strategies directly from the KOLs. 
With Kolz, subscribers gain one-on-one access to their favourite influencers' expertise, fostering deeper engagement, education, and growth within the Web3 space, while empowering influencers to expand their impact.
Kolz’s ecosystem is powered by $KOLZ, their native and utility token. The $KOLZ token offers several utilities within the Kolz ecosystem. Users can enjoy up to 50% discounts when paying for services with $KOLZ. 
Additionally, engaging with AI replicas on the platform can earn users $KOLZ tokens through reward mechanisms. The token also plays a key role in community engagement, with airdrops, rewards, and other activities incentivizing participation. 
$KOLZ serves as the primary currency, enhancing both user experience and interaction within the Kolz platform.
PAAL AI
PAAL AI is an innovative AI-powered chatbot ecosystem built on the Ethereum blockchain. It enables users to create, train, and deploy custom chatbots for various applications, offering businesses, developers, and individuals a versatile solution in the chatbot landscape.
One of PAAL AI’s main features is the customization of chatbots. Users can design and train chatbots tailored to their specific needs, seamlessly integrating them into existing workflows or communication channels. This flexibility makes PAAL AI valuable for customer service, sales, marketing, and more.
Blockchain integration is another essential aspect. PAAL AI uses blockchain to ensure transparency, security, and immutability of data associated with chatbot interactions, fostering trust within the ecosystem. The native $PAAL token incentivizes user activity, allowing users to earn tokens through chatbot interactions, referrals, and contributions to the community.
The platform is designed to benefit several user groups:
Businesses can improve customer engagement and streamline operations with custom chatbots.Developers gain tools and infrastructure to create AI chatbots, unlocking new opportunities.Individuals can create personalized chatbots for productivity, language learning, or entertainment.
While PAAL AI’s vision for the future is ambitious, it faces challenges from established chatbot platforms and rapid advancements in AI technology.
Autonolas
Autonolas is building a platform to develop innovative autonomous services that feature independent decision-making, cross-blockchain interactions, and native crypto attributes.
The project’s ecosystem is centred around three main components: Open Autonomy, the Autonolas Protocol, and a range of development toolkits.
Open Autonomy is a framework for creating off-chain autonomous services that operate as multi-agent systems, bringing advanced on-chain capabilities that extend beyond the limitations of standard smart contracts.
The Autonolas Protocol, a set of smart contracts, provides a secure and organized system for managing and verifying software on public blockchains. It incentivizes developers based on their contributions to the ecosystem’s growth. Initially launched on Ethereum, the protocol now also operates on Solana, Polygon, Arbitrum, and other blockchains.
At the core of this ecosystem is $OLAS, Autonolas’s native token. Users can stake $OLAS to run off-chain services and gain governance rights, actively influencing network development. Additionally, $OLAS fuels a unique developer incentive system aimed at expanding the ecosystem’s autonomous services.
ChainGPT
ChainGPT is a powerful AI model tailored for blockchain and crypto applications. Running on the BNB Smart Chain, ChainGPT offers comprehensive tools for AI-driven trading, risk management, and analytics, supporting businesses, developers, and individual users. 
Designed for maximum versatility, it features a chart and technical analysis tool, smart contract generator, AML tools, and a documentation creator, giving users a reliable edge in crypto.
An intuitive AI Chatbot, available on both the web and Telegram, leverages natural language processing to answer questions, conduct market analysis, and guide users through blockchain-related tasks. 
Additionally, ChainGPT’s staking and farming programs allow users to earn rewards with its CGPT tokens, while a burn mechanism reduces token supply over time, helping to support its value.
ChainGPT’s toolkit includes an AI NFT generator that creates digital art in seconds, and a smart contract auditor that scans for vulnerabilities. 
Security is enhanced with CryptoGuard, an anti-phishing and fraud detection tool, while a “Prompt Market” lets users instruct the AI to complete specific tasks, such as market analysis, bot scripting, and contract development. 
Xally
Xally is a blockchain-based platform that simplifies AI access and development. Built on Bitcoin Layer 2, Xally ensures that AI applications are transparent, scalable, and secure. 
Through its ecosystem, Xally addresses critical challenges in AI by providing user-friendly interfaces, standardized evaluation methods, and enhanced GPU access for training and running AI models.
The Xally platform has four primary layers.
Infrastructure: Xally leverages Bitcoin's security with an efficient infrastructure, integrating high-performance GPUs to power advanced AI functions.AI Resources: Xally’s AIaaS allows organizations to access and customize AI models for their needs without the high costs of infrastructure. It also includes tools tailored to crypto applications, like a specialized LLM for crypto research.AI Agents for Crypto: Xally provides pre-built AI agents for specific tasks in cryptocurrency, such as market analysis and smart contract auditing, improving efficiency and accuracy in decision-making.Application Layer: Here, developers can build AI-powered dApps, including Xally’s launchpad for funding new projects.
The platform uses its native $XALLY token for transactions, staking, and operations. Token holders can participate in governance, earn staking rewards, and access reduced fees on Xally’s dApps. 
With its structured ecosystem, Xally empowers developers, businesses, and users to seamlessly leverage AI and blockchain, pushing innovation in cryptocurrency and Web3.
#AiNarratives #ArtificialInteligence #CryptoAIRevolution #CryptoAI2024
🚀Top Project From Recent Funding Round 💰 Sapien 🚀🎉 Sapien has just secured $10.50M in its latest funding round! 🎉 🔹About: Sapien is a pioneering project launched in 2024, aiming to build the world's first sovereign digital nation, a Republic of DAOs powered by Sapien's first-of-its-kind NFT passport. The platform incentivizes people to supply data for AI use, gamifying data labeling with blockchain rewards. Sapien's mission is to create a decentralized social protocol that empowers communities, from friends to cooperative DAOs to digital nations. The project has raised significant funding and is led by a team with extensive experience in blockchain and AI, committed to revolutionizing social media and data monetization.🚀🌐 🔹 Lead Investors: Variant, Animoca Brands, Yield Guild Games, Gabby Dizon and many more. 🔹 Total Raised: $15.50M. 🔹 Project Category: Blockchain Infrastructure, AI. 🌟If You find this useful Repost, Save, Share it with friends & Follow us for More Latest Crypto Analysis, News, Updates & Crypto Insights @crypto_fossa 🦁🙏🏻 #BinanceTurns7 #WeAreAllSatoshi #ArtificialInteligence #web3 $AI {spot}(AIUSDT) $TAO {spot}(TAOUSDT) $RENDER {spot}(RENDERUSDT)

🚀Top Project From Recent Funding Round 💰 Sapien 🚀

🎉 Sapien has just secured $10.50M in its latest funding round! 🎉
🔹About: Sapien is a pioneering project launched in 2024, aiming to build the world's first sovereign digital nation, a Republic of DAOs powered by Sapien's first-of-its-kind NFT passport. The platform incentivizes people to supply data for AI use, gamifying data labeling with blockchain rewards. Sapien's mission is to create a decentralized social protocol that empowers communities, from friends to cooperative DAOs to digital nations. The project has raised significant funding and is led by a team with extensive experience in blockchain and AI, committed to revolutionizing social media and data monetization.🚀🌐
🔹 Lead Investors: Variant, Animoca Brands, Yield Guild Games, Gabby Dizon and many more.
🔹 Total Raised: $15.50M.
🔹 Project Category: Blockchain Infrastructure, AI.
🌟If You find this useful Repost, Save, Share it with friends & Follow us for More Latest Crypto Analysis, News, Updates & Crypto Insights @Crypto Simbha 🦁🙏🏻

#BinanceTurns7 #WeAreAllSatoshi #ArtificialInteligence #web3 $AI
$TAO
$RENDER
🚀 #TAO Buy Setup 🚀TAO has broken above the long-term descending trendline and Accumulation Box, signaling a strong uptrend continuation! 📈 After a successful rally, the price has retested the $470 support level and bounced back, confirming buyers are defending this zone. 🔹 Buy Zone: Enter at the current price to ride the momentum! 💥 🔹 DCA Opportunity: DCA down to the $470 support level if the market offers another chance. 🌊🔥 #BinanceTurns7 #WeAreAllSatoshi #TAO/USDT #TAO #ArtificialInteligence $TAO {spot}(TAOUSDT)

🚀 #TAO Buy Setup 🚀

TAO has broken above the long-term descending trendline and Accumulation Box, signaling a strong uptrend continuation! 📈 After a successful rally, the price has retested the $470 support level and bounced back, confirming buyers are defending this zone.
🔹 Buy Zone: Enter at the current price to ride the momentum! 💥
🔹 DCA Opportunity: DCA down to the $470 support level if the market offers another chance. 🌊🔥
#BinanceTurns7 #WeAreAllSatoshi #TAO/USDT #TAO #ArtificialInteligence $TAO
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95% get it wrong! 5 Proven Benefits of #ArtificialInteligence or #AI in Crypto Trading and 5 Missteps to Avoid (Check the picture below). Join me for more insights on crypto trading & innovations and Follow to my Post and Article for exclusive tips to take your trading to new heights. (Click Follow) #TrendingTopic #BTC $BTC $ETH $BNB
95% get it wrong!

5 Proven Benefits of #ArtificialInteligence or #AI in Crypto Trading and 5 Missteps to Avoid (Check the picture below).

Join me for more insights on crypto trading & innovations and Follow to my Post and Article for exclusive tips to take your trading to new heights. (Click Follow)
#TrendingTopic #BTC $BTC $ETH $BNB
Relation's Nvidia Partnership: A Bullish Sign for WEB3 Token (RELATION)? Relation, a Web3 social protocol building an AI-powered open social network, just made a move that could fuel its native token, RELATION (source: Foresight News). By joining the prestigious Nvidia Developer Program, Relation gains access to cutting-edge AI tools and platforms, potentially propelling the project forward and impacting the value of its token. A Powerful AI Infusion: This collaboration unlocks a treasure trove of resources for Relation, including: Unmatched Processing Power: Nvidia's industry-leading GPUs provide the horsepower to run complex AI algorithms, the backbone of Relation's intelligent social network. Advanced Deep Learning Frameworks: These frameworks are essential for building and training sophisticated AI models, allowing Relation to develop innovative features for its platform. AI Optimization Technologies: Optimizing AI models ensures efficient resource use and faster processing times, contributing to a smooth user experience on the Relation network. A Potential Boost for RELATION Token: Here's how this partnership could positively impact the RELATION token: Increased Project Visibility: The association with a tech giant like Nvidia brings significant attention to Relation, potentially attracting new users and investors to the platform. Enhanced Network Functionality: The integration of advanced AI features could lead to a more engaging and user-friendly social network experience, driving user adoption and potentially increasing the value proposition of the RELATION token. Token Utility Potential: The AI-powered features might require RELATION tokens for access or participation, creating direct utility for the token and potentially influencing its demand. #ArtificialInteligence #Web3Investing
Relation's Nvidia Partnership: A Bullish Sign for WEB3 Token (RELATION)?
Relation, a Web3 social protocol building an AI-powered open social network, just made a move that could fuel its native token, RELATION (source: Foresight News). By joining the prestigious Nvidia Developer Program, Relation gains access to cutting-edge AI tools and platforms, potentially propelling the project forward and impacting the value of its token.

A Powerful AI Infusion:
This collaboration unlocks a treasure trove of resources for Relation, including:

Unmatched Processing Power: Nvidia's industry-leading GPUs provide the horsepower to run complex AI algorithms, the backbone of Relation's intelligent social network.

Advanced Deep Learning Frameworks: These frameworks are essential for building and training sophisticated AI models, allowing Relation to develop innovative features for its platform.

AI Optimization Technologies: Optimizing AI models ensures efficient resource use and faster processing times, contributing to a smooth user experience on the Relation network.

A Potential Boost for RELATION Token:
Here's how this partnership could positively impact the RELATION token:

Increased Project Visibility: The association with a tech giant like Nvidia brings significant attention to Relation, potentially attracting new users and investors to the platform.

Enhanced Network Functionality: The integration of advanced AI features could lead to a more engaging and user-friendly social network experience, driving user adoption and potentially increasing the value proposition of the RELATION token.

Token Utility Potential: The AI-powered features might require RELATION tokens for access or participation, creating direct utility for the token and potentially influencing its demand.
#ArtificialInteligence #Web3Investing
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Meta and AI: How Does The Company Plan To Fight Disinformation?The rapid development of artificial intelligence has long been a cause for concern in various fields. The film and animation industry has been on strike for a year now due to the uncertainty of the impact of artificial intelligence on their work and safety. While the entertainment industry is the most concerned about the possible impact of AI on their work, other sectors, such as politics, have also begun to voice their concerns. Due to fears that artificial intelligence could be used to disrupt elections, Meta will create a team to combat disinformation and misuse of AI during the EU elections. Meta And Their Disinformation Plan Meta has unveiled a plan to create a special team to combat disinformation and harm caused by artificial intelligence (AI) ahead of the European Parliament elections. The company believes that due to the rapid development of the technology and its ability to generate text, images, and videos in seconds in response to requests, AI can interfere in elections by creating misleading content. Marco Pancini, Head of EU Affairs at Meta, said that the “EU Election Operations Center” will bring together experts from across the company to focus on combating disinformation, influence operations, and the risks associated with the misuse of artificial intelligence. “Ahead of the elections period, we will make it easier for all our fact-checking partners across the EU to find and rate content related to the elections because we recognize that speed is especially important during breaking news events. We’ll use keyword detection to group related content in one place, making it easy for fact-checkers to find.” — said Pancini. The head emphasized that the company’s efforts to eliminate risks will also include the addition of a feature for labeling AI-generated content. People will add a special mark to show that audio or video is generated by artificial intelligence. In case of non-compliance with this rule, Meta will impose fines. Earlier in February, Meta teamed up with other tech companies to sign an agreement to combat AI interference in elections. “Since AI-generated content appears across the internet, we’ve also been working with other companies in our industry on common standards and guidelines. We’re a member of the Partnership on AI, for example, and we recently signed on to the tech accord designed to combat the spread of deceptive AI content in the 2024 elections. This work is bigger than any one company & will require a huge effort across industry, government, & civil society.” he remarked. The influence of AI has already been the subject of attention during several elections. Former Pakistani Prime Minister Imran Khan used AI to deliver a victory speech in prison. With the help of this technology, Khan created a stand-in to deliver the message to his supporters. And in January, a fake automated call imitating Joe Biden’s voice urged voters not to participate in early voting. Controversial Position Of Influential People Elon Musk, the CEO of Tesla Inc, has long been known for his open support of the neural network. The investor believes that AI will increase efficiency in various spheres of life, minimize human errors, and automate routine tasks, allowing people to focus on more complex tasks. In addition, Musk has been involved in the development of artificial intelligence through his companies and launched his own AI startup called xAI. He has also repeatedly financially supported projects that use artificial intelligence. However, even such an ardent supporter of artificial intelligence technology expresses concerns about its impact on society. Musk advocates the need to regulate artificial intelligence. He has expressed concern about the risks that artificial intelligence poses to humanity, suggesting that AI could be more dangerous than nuclear weapons. Recently, an investor even filed a lawsuit against OpenAI and its CEO Sam Altman. He believes that they are allegedly developing general artificial intelligence (AGI) technology to increase Microsoft’s profits, not for the benefit of humanity. Musk calls on the company to return to open-source AGI and prohibit OpenAI from making money on this technology. Elon Musk is not the only one who is concerned about artificial intelligence technologies. Vitalik Buterin, the founder of the Ethereum blockchain, believes that the combination of artificial intelligence and cryptocurrencies has several advantages. In January, he published an article on the prospects and problems of such a combination, referring to the intersection of technologies and adding all the pros and cons of each area. Moreover, Buterin recently shared his experience of using AI. He described the successful integration of AI into the Ethereum blockchain to fix technical errors in the code base. Although the expert is optimistic about the combination of AI and blockchain, he also warns of potential problems with the balance between cryptographic transparency and the vulnerability of AI systems. “In cryptography, open source is the only way to make something truly secure, but in AI, a model (or even its training data) being open greatly increases its vulnerability to adversarial machine learning attacks.”, said Buterin. AI In The Modern World Although most people still have a negative attitude toward artificial intelligence, AI technologies have been used in various fields for quite some time. Here are some of the most well-known applications of AI: AI technologies, such as machine learning and visual perception systems, are used in autonomous cars to recognize and navigate the environment;Used in manufacturing for quality control, logistics process optimization, and robotics;It plays an important role in medicine, helping to make diagnoses, personalize treatment plans, find medicines, and much more;Used in finance for fraud detection, algorithmic trading, and risk assessment;Artificial intelligence technologies are an integral part of robotics for tasks such as object recognition, route guidance, and autonomous navigation. Artificial intelligence technologies make people’s lives easier by allowing them to perform repetitive tasks in the manufacturing sector. This allows employees to focus on more complex tasks. In addition, artificial intelligence makes it possible to personalize product recommendations. AI helps businesses in marketing and commerce by providing personalized recommendations that can improve the customer experience. How Do Crypto Exchanges Integrate AI Technologies? Numerous companies are using artificial intelligence (AI) in various areas of their industry. For example: WhiteBIT, one of the largest crypto exchanges in Europe, as an innovative company, actively uses and integrates artificial intelligence into all areas of their business. They are also constantly actively collaborating with AI blockchains. For example, they recently announced that on their exchange, $USDT and $USDC are now available on NEARProtocol. WhiteBIT added that thanks to this integration, withdrawing stablecoins via Near Protocol has become free. Kraken is using artificial intelligence in various ways to improve its operations in the crypto industry. Their new CTO Vishnu Pathankar emphasizes the growing importance of artificial intelligence (AI) in the crypto industry. In addition, the exchange offers OTC trading services for Fetch.ai (FET) through its OTC service and provides a trading API for algorithmic trading of Fetch.ai orders. Coinbase uses artificial intelligence technology in a variety of ways to improve its operations and security measures in the cryptocurrency sector. They use AI, specifically Amazon Web Services (AWS) tools, to effectively fight fraud on their platform. In addition, the exchange has partnered with Coinrule, a platform that offers automated strategies for the digital asset market. This collaboration offers advanced trading tools and strategies to expand investment portfolios Summary Artificial intelligence has become an important aspect that can fundamentally change the industry and help solve complex problems. Modern technologies make AI not only a tool for improving algorithms but also a part of human life. It is only a matter of time before AI technologies become a mandatory requirement for businesses and other industries. So it’s time to start learning more about artificial intelligence and how to use it in your area of life. #News #MetaAIRevolution #ArtificialInteligence #NEARProtocol $NEAR

Meta and AI: How Does The Company Plan To Fight Disinformation?

The rapid development of artificial intelligence has long been a cause for concern in various fields. The film and animation industry has been on strike for a year now due to the uncertainty of the impact of artificial intelligence on their work and safety. While the entertainment industry is the most concerned about the possible impact of AI on their work, other sectors, such as politics, have also begun to voice their concerns.
Due to fears that artificial intelligence could be used to disrupt elections, Meta will create a team to combat disinformation and misuse of AI during the EU elections.
Meta And Their Disinformation Plan
Meta has unveiled a plan to create a special team to combat disinformation and harm caused by artificial intelligence (AI) ahead of the European Parliament elections.
The company believes that due to the rapid development of the technology and its ability to generate text, images, and videos in seconds in response to requests, AI can interfere in elections by creating misleading content.
Marco Pancini, Head of EU Affairs at Meta, said that the “EU Election Operations Center” will bring together experts from across the company to focus on combating disinformation, influence operations, and the risks associated with the misuse of artificial intelligence.
“Ahead of the elections period, we will make it easier for all our fact-checking partners across the EU to find and rate content related to the elections because we recognize that speed is especially important during breaking news events. We’ll use keyword detection to group related content in one place, making it easy for fact-checkers to find.” — said Pancini.
The head emphasized that the company’s efforts to eliminate risks will also include the addition of a feature for labeling AI-generated content. People will add a special mark to show that audio or video is generated by artificial intelligence. In case of non-compliance with this rule, Meta will impose fines.
Earlier in February, Meta teamed up with other tech companies to sign an agreement to combat AI interference in elections.
“Since AI-generated content appears across the internet, we’ve also been working with other companies in our industry on common standards and guidelines. We’re a member of the Partnership on AI, for example, and we recently signed on to the tech accord designed to combat the spread of deceptive AI content in the 2024 elections. This work is bigger than any one company & will require a huge effort across industry, government, & civil society.” he remarked.
The influence of AI has already been the subject of attention during several elections.
Former Pakistani Prime Minister Imran Khan used AI to deliver a victory speech in prison. With the help of this technology, Khan created a stand-in to deliver the message to his supporters.
And in January, a fake automated call imitating Joe Biden’s voice urged voters not to participate in early voting.
Controversial Position Of Influential People
Elon Musk, the CEO of Tesla Inc, has long been known for his open support of the neural network. The investor believes that AI will increase efficiency in various spheres of life, minimize human errors, and automate routine tasks, allowing people to focus on more complex tasks. In addition, Musk has been involved in the development of artificial intelligence through his companies and launched his own AI startup called xAI. He has also repeatedly financially supported projects that use artificial intelligence.
However, even such an ardent supporter of artificial intelligence technology expresses concerns about its impact on society. Musk advocates the need to regulate artificial intelligence. He has expressed concern about the risks that artificial intelligence poses to humanity, suggesting that AI could be more dangerous than nuclear weapons.
Recently, an investor even filed a lawsuit against OpenAI and its CEO Sam Altman. He believes that they are allegedly developing general artificial intelligence (AGI) technology to increase Microsoft’s profits, not for the benefit of humanity. Musk calls on the company to return to open-source AGI and prohibit OpenAI from making money on this technology.
Elon Musk is not the only one who is concerned about artificial intelligence technologies. Vitalik Buterin, the founder of the Ethereum blockchain, believes that the combination of artificial intelligence and cryptocurrencies has several advantages.
In January, he published an article on the prospects and problems of such a combination, referring to the intersection of technologies and adding all the pros and cons of each area. Moreover, Buterin recently shared his experience of using AI. He described the successful integration of AI into the Ethereum blockchain to fix technical errors in the code base.
Although the expert is optimistic about the combination of AI and blockchain, he also warns of potential problems with the balance between cryptographic transparency and the vulnerability of AI systems.
“In cryptography, open source is the only way to make something truly secure, but in AI, a model (or even its training data) being open greatly increases its vulnerability to adversarial machine learning attacks.”, said Buterin.
AI In The Modern World
Although most people still have a negative attitude toward artificial intelligence, AI technologies have been used in various fields for quite some time. Here are some of the most well-known applications of AI:
AI technologies, such as machine learning and visual perception systems, are used in autonomous cars to recognize and navigate the environment;Used in manufacturing for quality control, logistics process optimization, and robotics;It plays an important role in medicine, helping to make diagnoses, personalize treatment plans, find medicines, and much more;Used in finance for fraud detection, algorithmic trading, and risk assessment;Artificial intelligence technologies are an integral part of robotics for tasks such as object recognition, route guidance, and autonomous navigation.
Artificial intelligence technologies make people’s lives easier by allowing them to perform repetitive tasks in the manufacturing sector. This allows employees to focus on more complex tasks. In addition, artificial intelligence makes it possible to personalize product recommendations. AI helps businesses in marketing and commerce by providing personalized recommendations that can improve the customer experience.
How Do Crypto Exchanges Integrate AI Technologies?
Numerous companies are using artificial intelligence (AI) in various areas of their industry. For example:
WhiteBIT, one of the largest crypto exchanges in Europe, as an innovative company, actively uses and integrates artificial intelligence into all areas of their business. They are also constantly actively collaborating with AI blockchains.
For example, they recently announced that on their exchange, $USDT and $USDC are now available on NEARProtocol. WhiteBIT added that thanks to this integration, withdrawing stablecoins via Near Protocol has become free.
Kraken is using artificial intelligence in various ways to improve its operations in the crypto industry. Their new CTO Vishnu Pathankar emphasizes the growing importance of artificial intelligence (AI) in the crypto industry. In addition, the exchange offers OTC trading services for Fetch.ai (FET) through its OTC service and provides a trading API for algorithmic trading of Fetch.ai orders.
Coinbase uses artificial intelligence technology in a variety of ways to improve its operations and security measures in the cryptocurrency sector. They use AI, specifically Amazon Web Services (AWS) tools, to effectively fight fraud on their platform. In addition, the exchange has partnered with Coinrule, a platform that offers automated strategies for the digital asset market. This collaboration offers advanced trading tools and strategies to expand investment portfolios
Summary
Artificial intelligence has become an important aspect that can fundamentally change the industry and help solve complex problems. Modern technologies make AI not only a tool for improving algorithms but also a part of human life. It is only a matter of time before AI technologies become a mandatory requirement for businesses and other industries. So it’s time to start learning more about artificial intelligence and how to use it in your area of life.
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You probably missed the AI trend, like, $FET and $AGIX isnt ? I will give you two GMs that are not listed yet in Binance and have the potential to be x10.

AI Power Grid (AIPG)

Market Cap: $13,310,770 
Circulating Supply: 52,387,649

Blockchain technology and artificial intelligence (AI) are combined by AIPG to allow AI to deconcentrate and centralize. Initially, it was a Proof of Work (PoW) and ASIC-focused version of the Ravencoin project, but it will eventually transition to Proof of Useful Work (PoUW).

-EnqAI

Market Cap: $47,669,317
Circulating Supply: 969,454,848

It is a decentralized GPT dialog model in addition to a decentralized LLM language paradigm. AI networks that are coded and targeted are also included.
In order to prepare for the rebranding to ENQAI, the development team constructed NoiseGPT for more than a year before tackling this project.
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What Impact Will AI Have on Drug Safety and Regulatory Practices?
Until now, the business rationale has been undermined by the sheer amount of labor needed to validate and bring intelligent automation systems up to full functionality for life sciences R&D purposes, such as transforming adverse event (AE) reporting. 

These obstacles are now being removed, and compliance is being strengthened by the LLMs (large language models) that drive generative artificial intelligence.

Pharma businesses may have a once-in-a-century chance with this AI technology—but only if they can scale it and deal with the particular difficulties faced by the sector.

What can be made possible?

Machine learning and large language models have made quick searches for new drugs possible, along with more effective clinical studies and faster clearances from regulators, which produces extremely focused marketing collateral. 

Nearly every aspect of the pharmaceutical sector is changing because of generative AI, which is also changing the norms of business operations and possibly unleashing billions of dollars in value.

Source: McKinsey.

According to estimates from the McKinsey Global Institute (MGI), the technology could bring in between $60 billion and $110 billion annually for the pharmaceutical and medical product industries. 

This is primarily because the technology can increase productivity by accelerating the process of finding compounds that could be new drugs, expediting the development and approval of those drugs, and enhancing their marketing.

The possibility lies in using “in context” learning, narrative extrapolation, and spontaneous data discovery in a way that regulators can understand. AI specialists at ArisGlobal, Ramesh Ramani and Ravikanth Valigari, discussed potential applications at a pharmaceutical manufacturer.

AI for efficient data transformation in drug safety

When large amounts of data are present in various formats and come from many sources, like in the case of safety monitoring, for example, it takes a lot of administrative work to compile any noteworthy discoveries and make them useful. 

Source: McKinsey.

This is where there is significant potential for process transformation offered by the most recent developments in machine learning and AI. Not only in terms of efficiency but also markedly increased accuracy—provided the software understands what it is searching for.

In order to close these gaps and make advanced automation a safe and dependable reality in important life sciences R&D processes—and importantly, without requiring constant, laborious oversight—LLMs, the vast data banks that GenAI tools refer to, and advanced natural language processing (NLP) techniques like retrieval-augmented generation (RAG) are now being applied. 

To put it simply, by enabling LLMs to combine confidential data with information that is accessible to the public, RAG makes it easier to fine-tune AI models by providing them with a larger knowledge base and context.

Improving data compilation through LLM-RAG solutions

The training burden has been the issue with ML solutions thus far. But now, a single technological solution can handle all variants of incoming with the help of LLMs, which eliminates the need to teach AI models or algorithms what to look out for and/or what something implies. 

When it comes to guiding an LLM through a standard operating procedure in plain English, RAG patterns can be quite helpful. This way, the system will be able to handle thousands of different forms without requiring unique settings for each one.

It has been demonstrated that applying LLM-RAG technology to change AE case input can result in efficiency gains of up to 65% and 90%+ data extraction quality and accuracy in early trials. It has an amazing potential impact. This very same system is currently exhibiting 80–85% consistency in the summaries it generates for safety case story development. And that’s without any past exposure, starting from scratch.

It does, in fact, provide the groundwork for pharmaceutical companies to significantly simplify some of their most difficult data-driven operations. 

Fears about compliance or dependability that earlier held back the adoption of smarter automation have given way to a strong desire to adopt new versions of the technology that directly address these issues and provide measurable improvements in productivity and efficiency.

“To build momentum for change, organizations should create teams of early-adopter champions to shape the deployment of generational AI use cases and prove their value.” McKinsey.
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