Project Updates

No other technology has the potential to revolutionize human life like artificial intelligence. The year 2023 is a testament to the increasingly rise symbiotic relationship between humans and artificial intelligence. The advent of ChatGPT and Bard has sparked a small bull market in AI Token s, and the AI trend has continued with the hype. So far, no narrative has received such long attention on Bear Market and has not been successful on long Token. This excellent performance demonstrates investors' bullish sensitivity to the AI narrative. The total market capitalization of the AI field is only about $6 billion. This number is insignificant considering that AI will be widely adopted in the coming years. As more long companies consider integrating AI and web3 solutions, the AI narrative will be one of the top performers over time. Here are some AI projects to look out for: Bittensor(TAO) Market cap: $1.7 billion Bittensor (TAO) is a decentralized network that connects global machine learning models and works like a collective brain with distributed "neurons". These models work collaboratively to process information, similar to the synergy of neurons in the human brain. Bittensor uses a unique Blockchain architecture built on the Substrate framework, the same framework that powers Polkadot. Bittensor has created a Decentralization Machine Learning protocol that enables the creation of custom blockchains for seamless connectivity. Render(RNDR) Market cap: $1.7 billion Render (RNDR) is a pioneer in integrating artificial intelligence, Blockchain, and graphics rendering. Render is a Decentralization GPU rendering network built on Ethereum that gives users access to a global market for GPU resources. Render's solution sees it as a Blockchain counterpart to industry leaders like NVIDIA. SingularityNet(AGIX) Market capitalization: $421 million SingularityNET (AGIX) is a Decentralization Artificial Intelligence Services Marketplace that enables developers to build and sell AI applications. Leverage Blockchain and smart contracts to provide a secure and transparent AI service compute environment. As a native Token, AGIX facilitates transactions, encourages network participation, and rewards contributors, improving liquidation and core AI capabilities. Ocean Protocol (OCEAN) Market cap: $300 million OCEAN is a native Token that rewards active network participation and serves as a centralized incentive and payment method that facilitates transactions for data and AI services. Autonolas (OLAS) Market cap: $319 million Autonolas is an integrated network of off-chain services, including automation, Oracle Machine, and co-owned AI. It provides a modular stack for building such services, as well as protocols to promote their development. Autonolas' services are ideal for combining Crypto Assets and artificial intelligence, executing complex logic in a decentralized manner, and continuously interacting with on-chain and off-chain data autonomously. #ContentStar# #Gate post Highlights# #HotTopicDiscussion# #BountyCreator# #GateLive# #NewsMessenger#

The United States has shown the most interest in the AI-related token story in 2024, accounting for nearly 19% of global interest. According to CoinGecko's “15 Countries Most Interested in Crypto AI in 2024” report, the UK ranks second with a 9% share of interest, followed by

$OLAS is currently at an interesting level. $1 - $1.2 is a good accumulation zone with clear invalidation if close 1D below support. A few weeks of consolidation above $1 would be ideal for forming a bottom here. #OLAS #Autonolas

Written by: Davide

The Rise of AI Agents in the Web3 World Since 2024, AI Agents have rapidly emerged in the Web3 field, with numerous related experiments underway. From the perspective of the entire AI chain, AI Agents not only play the role of the "interaction and execution layer" but also serve as intelligent product forms oriented towards users. They act as a bridge between model capabilities and specific applications, encapsulating underlying AI models into intelligent agents with task-oriented and autonomous capabilities, directly executing tasks for users and generating economic activities. AI Agent Protocol Stack Level The AI Agent protocol stack can be divided into three main levels: 1. Infrastructure Layer: Provides underlying operational support for agents, including core modules such as Agent Framework, Agent OS, and Agent DID, Agent.