- The price of the Aptos blockchain token APT increased by 18% post-announcement.
- Aptos Labs will provide Microsoft with verified blockchain data for AI model training.
To deepen its artificial intelligence (AI) efforts and enter the web3 market, Microsoft has partnered with blockchain platform Aptos Labs. The latter will provide Microsoft with verified blockchain data for AI model training and will operate validator nodes on the Azure cloud. The parties involved hope that by using blockchain technology, they can increase the trustworthiness, consistency, and openness of data created by AI.
Aptos Labs’ chief executive officer, Mo Shaikh, said the collaboration’s main goal is to solve problems that both companies face in their respective fields. According to Microsoft’s Global Director of Business Development for AI and web3, Daniel An, AI integration into web3 applications will become more common in the next months and years.
Rise in Demand for Quality-data
Moreover, the price of the Aptos blockchain token APT increased by 18% immediately after the announcement. However, after a brief pullback, it is now trading at $7.33 as per data from CMC.
Furthermore, the demand for auditable and verifiable AI-generated information is on the rise, and blockchain technology provides a way to address this problem. It promotes trustworthiness in a decentralized digital economy by highlighting the importance of blockchain in identifying data to its source and time-stamping.
According to Shaikh, blockchains work as markers for transparency and trust, while large language models (LLMs) function as strong content generators. Also, this combination increases trust in AI-created content and guarantees the ethical development of AI.
The high-throughput blockchain developed by Aptos Labs, which can process up to 160,000 transactions per second, is a promising option for AI development. Companies like Microsoft, which is developing AI-related goods and services, are attracted to the sector because of its quick settlement times and low costs.
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