1. The AI track is soaring in popularity
Recently, with the release of OpenAI's Sora and the outstanding performance of NVIDIA's financial report, NVIDIA's market value has approached US$2 trillion, bringing huge attention to the AI track in the Crypto industry. Projects such as WLD, AGIX, and FET have emerged one after another, showing impressive gains.
While the overall market is improving, the convening of the Nvidia AI Conference further boosted the explosion of the AI track, making it the focus of market attention.
2. The rise and layout of AI+Web3
At present, AI+Web3 concept projects have sprung up, involving infrastructure, data, computing power and other fields. Top institutions such as a16z, Binance, etc. have already laid out relevant tracks, indicating that AI+Web3 will become an important narrative throughout this bull market.
AI+Web3 and the Metaverse have a similar development trajectory, both are extensions from Web2 to Web3. Both have sparked widespread discussion and concern in the Crypto industry.
3. The rise and fall of the concept of the metaverse and the similarities between the AI track
The concept of the Metaverse was initially sparked by the popularity of Roblox, and then Facebook changed its name to Meta, which further boosted its popularity. However, with the sharp decline in Roblox's market value and the increase in related negative reports, the concept of the Metaverse has gradually faded away in the Crypto industry.
The development trajectory of the AI track is surprisingly similar to that of the Metaverse. The release of ChatGPT and OpenAI's Sora respectively triggered two waves of climax in the AI track, making projects such as FET and AGIX attract much attention. However, the current development of the AI track still mainly relies on OpenAI, and most projects are still in the conceptual stage or are gaining popularity, lacking practical applications.
4. Classification and characteristics of AI tracks
Decentralized computing power (GPU): As the complexity of AI models increases, the demand for high-performance hardware such as GPUs is increasing. Decentralized computing systems have improved the utilization efficiency of computing resources through competitive pricing and easy accessibility. However, most current projects are still stuck in the follow-up stage, with serious homogeneity.
zkML (zero-knowledge machine learning): Integrating AI into smart contracts enhances functionality, security, and efficiency. However, the cost of smart contracts running complex AI models is high. As a solution, zkML reduces on-chain computing requirements by performing calculations off-chain and only submitting proofs of verification results, providing the possibility for the application of AI in smart contracts.
AI agent: AI agent can autonomously receive, understand and perform tasks, taking advantage of the permissionless and trustless payment infrastructure provided by cryptocurrency, bringing new opportunities to the combination of AI and cryptocurrency.
Bittensor: the leader in decentralized machine learning networks
Open source protocols and the goal of decentralization
Bittensor, as a decentralized machine learning network based on blockchain, aims to democratize AI by building a platform that serves multiple decentralized commodity markets (or "sub-networks"). Through this platform, Bittensor unifies multiple sub-networks under a single Token system, thereby promoting the widespread application and sharing of AI technology.
System architecture and incentive mechanism
Bittensor's system architecture efficiently transfers AI capabilities to the chain and is jointly managed by two key participants, miners and verifiers. Miners are responsible for submitting pre-trained AI models to the network and receiving rewards for their contributions; while verifiers ensure the validity and accuracy of the model output. This setting not only incentivizes miners to continuously improve model performance, but also promotes the development of the entire network through a competition mechanism.
Decentralized training and model evaluation
Unlike traditional large AI companies, Bittensor does not directly train models, but relies on decentralized training mechanisms. Validators evaluate miner-generated models using specific datasets and score the models on criteria such as accuracy and loss function. This decentralized evaluation approach ensures continued improvement in model performance and makes the entire network more robust and reliable.
Market performance and future development
According to data from Coingecko, Bittensor’s current market value is approximately US$3.6 billion. Thanks to its advantages in the two fields of PoW and AI, Bittensor performed relatively well last year. However, the issue of poor overall liquidity still needs to be addressed. In the future, with the continuous advancement of technology and the expansion of application scenarios, Bittensor is expected to play a greater role in the AI field and promote the development of the entire industry.
Arkham: The leader in cryptographic intelligence analysis platform
The bridge between blockchain and the real world
As a cryptographic intelligent analysis platform, Arkham provides users with detailed data and analysis by connecting blockchain addresses and real-world entities. It uses the concept of token economics to create an intelligence trading platform that enables users to buy and sell blockchain address owner information, thereby achieving deep insights into blockchain activities.
Core technologies and product applications
Arkham uses an AI algorithm engine called Ultra to connect blockchain addresses with real-world entities. Its main product, Profiler, provides a comprehensive view of entity or address activity, including transaction history, positions, balance history, profit and loss, trading platform usage, top counterparties and other information. Profiler allows users to easily obtain detailed information about entity activities and perform in-depth analysis.
Promote transparency and efficiency in the crypto market
Arkham's goal is to systematically analyze and de-anonymize blockchain transactions and establish a decentralized intelligence-based money-making economy. By providing high-quality data and analytical services, it helps promote transparency and efficiency in the crypto market, providing investors and practitioners with more reliable and accurate information support.
High-profile investor support
It is worth mentioning that OpenAI co-founder Sam Altman is one of Arkham’s investors, further proving the project’s potential and value in the fields of encryption and AI. The joining of Sam Altman not only brings financial support to Arkham, but also brings him rich industry experience and resources, which will help promote the rapid development and growth of the project.
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