AI and Cryptography: A Growing Symbiosis

According to PANews, the intersection of artificial intelligence (AI) and cryptography is becoming increasingly prominent as more projects emerge in the Crypto x AI domain. The potential of this combination is evident in on-chain data. Most on-chain transactions are expected to be carried out by AI entities, a trend clearly demonstrated in the predictive market entities of Autonolas. Since the beginning of this year, the volume of transactions by these entities has doubled, with weekly transactions exceeding 38,000 in the past month. Approximately 63% of these transactions were Gnosis Safe transactions. Despite only about 453 entities operating on-chain, Autonolas entities indicate that their activity can generate more transactions than human activity from Gnosis Safe. These entities could facilitate a more efficient future of task collaboration, potentially surpassing human activity on-chain. Crypto is playing a significant role in incentivizing the development of AI. DeAI projects are leveraging cryptographic capabilities to guide new markets, attract talent, and research funds. For instance, Morpheus, with about 6,000 addresses and deposits amounting to 93,000 stETH, is enhancing liquidity and stimulating AI development. Token incentives are being used to fund new applications/projects, create superior models through competition, and improve model quality through RLHF. In addition to talent and skills, they are attracting high-value assets such as computational resources and data. The value of AI depends on its training data. Crypto can enhance data collection through token incentives. For instance, Hivemapper uses its network of over 63,000 users to collect map data while driving. Since the beginning of 2024, Hivemapper has burned tokens worth over $174,000 due to data requirements. Another example is rDAO, which incentivizes individual data. Reddit authorized user data to AI companies at a price exceeding $200 million, possibly without compensating users. In contrast, rDAO compensates users who provide data. So far, over 154,000 users have provided their personal data to rDAO for AI training. AI inference is driving on-chain transactions, particularly: Ora's AI oracle conducted 1,700 transactions through opML Io.Net's BC8 had over 30,000 paid inference transactions on Aptos in the past month As AI makes smart contracts smarter, inference-related transactions are expected to increase. The increasing on-chain activity of AI suggests a future where: Entities will dominate on-chain transactions New methods will emerge to incentivize AI development Compensation for new data Growth in on-chain inference