خرید PaLM AI (PALM) در Mexico

PaLM AI (PALM) is a crypto/Web3 project focused on integrating artificial intelligence solutions into decentralized applications and exchanges. The project aims to democratize AI access and bridge current AI use cases with the emerging Web3 ecosystem. It emphasizes accessibility, innovation, and a revenue-sharing model for its community. The core technology behind PaLM AI leverages advanced AI capabilities, including Google's suite of AI tools, alongside its own in-house algorithms. The project states it is not affiliated with Google. The PALM token serves as the utility token within the PaLM AI ecosystem. It supports the project's development, facilitates decentralized ownership, and powers various holder benefits, notably a revenue-sharing program. A significant portion, often cited as 50%, of the revenue generated from PaLM AI's developments is distributed to PALM token holders. This revenue is typically distributed in Ethereum, and holders can track these distributions through a dedicated platform. Key features and products of PaLM AI include a multi-platform AI chatbot that handles tasks like conversation, coding, image generation, and vision, accepting various inputs. Other offerings comprise an NFT Studio on the SKALE Network's Titan AI blockchain, a DEX Aggregator built on the 0x protocol, an AI Voice Call Assistant, and an AI Oracle for on-chain data feeds. The project also develops Web3 hardware solutions and a play-to-earn (P2E) game called PaLM Island. PaLM AI also provides customizable, white-labeled bot solutions. All of these products and services are accessible through a single decentralized application, referred to as a hub. The project was launched on the Ethereum mainnet in November 2023. It partners with networks like SKALE Network and 0x Protocol to enable cost-efficient and gas-free transactions on Ethereum. PaLM AI operates within the DeFAI space, which merges decentralized finance and artificial intelligence technologies. The founding team includes Hela Atmani, Marc Pesah, Stefan Lechere, and Jonathan Pritchard. بیشتر بدانید