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When you think about the leading narratives in this bull run, AI comes to mind first. Every protocol is different, but Solana takes the lead. This is why I researched $TAI. What are the factors driving it forward? Simple. TARS AI is pushing boundaries in AI accessibility and Web3 infrastructure. @tarsprotocol offers a comprehensive AI suite integrated within the blockchain, acting as an aggregation layer and a hub for AI model deployment. $TAI is at the center of all, bringing decentralized, high-performance AI tools to projects and institutions that demand scale and stability. The AI power that $TAI manages on-chain is: $TAI: 8,200 AI model deployments Other platforms: <2,500 @tarsprotocol infrastructure efficiently delivers scalable, modular AI solutions in this fast-growing sector with over 1M TARS prompt. Why This Matters With Solana as its orchestration layer, $TAI achieves streamlined access to GPU resources and a diverse array of pre-trained AI models at a fraction of the cost of traditional compute providers, creating a highly efficient, permissionless AI marketplace accessible to everyone, from developers to enterprises. What are the demand factors? - Access to AI Services: TAI is used to access various AI tools and applications offered by @tarsprotocol, including the AI Console, AI Hub, and Tars Search Engine. - Staking and Rewards: Stake TAI to access unlimited GPU power and other benefits, such as validator nodes and revenue from the AI Hub. - Developer Incentives: Developers contributing to and optimizing AI models within the Hub are rewarded with TAI. - Buyback and Burn Mechanism: This involves the following: 1. Revenue Generation: Users incur fees when taking loans in TAI. 2. Surplus Buffer: The collected fees are first used to maintain a 'surplus buffer' of TAI, which covers operational expenses such as system maintenance and collateral price updates. 3. Surplus Auctions: The excess TAI is auctioned in exchange for RATE once the surplus buffer exceeds a certain threshold. 4. Burning RATE: The RATE acquired is permanently removed from circulation by sending them to an 0x000..00 address, reducing the total supply. The AI industry is faced with sky-high traditional cloud costs. This is why @tarsprotocol was built to democratize AI resources, enabling scalability without prohibitive costs. This extends $TAI’s utility across sectors. Thanks for reading! Don't forget to DYOR.

According to Scam Sniffer, 5 hours ago, someone lost 15,079 fwDETH (about $35m) by signing a "permit" phishing signature. Hacker: 0x06...16eC sold fwDETH, causing DETH to plummet by more than 90% in the past 24h, and may put protocols such as PAC Finance and Orbit Finance in danger.

$0X0 breaking out of the falling channel on daily time frame and already 69% up from our entry

$0X0 one of my favourite #AI gems on bitget ready to go hard just buying the dips and waiting for a potential 2×

According to a report by PANews on August 20, a savvy cryptocurrency investor has capitalized on the recent market dip in Ethereum. On-chain analyst aai_9684xtpa revealed that a smart money address, 0x00B...152b8, sold 3,843 ETH in a single hour, yielding a profit of approximately $1.27 million. This strategic investor had purchased the ETH at an average price of $2,331 during the market downturn on August 5, holding onto it for 16 days before selling. This calculated move demonstrates the investor's ability to navigate the volatile cryptocurrency market and reap significant rewards. The sale highlights the opportunistic nature of smart money investors, who are willing to take calculated risks to capitalize on market fluctuations. As the cryptocurrency market continues to evolve, it will be interesting to see how these investors adapt and thrive in the ever-changing landscape.