The ChatGPT plugin integrated into Solana is available as an open-source project on GitHub, allowing users to download it freely.

On May 23, the Solana Foundation, a non-profit organization committed to the maintenance and advancement of the Solana blockchain, made an announcement regarding the integration of artificial intelligence (AI) through the utilization of a ChatGPT plugin created by Solana Labs.

According to the developers, the ChatGPT plugin can now be downloaded from GitHub, providing users with a convenient way to comprehend Solana data and protocols. It also offers the ability to access information about Solana's computing infrastructure and DeFi projects, simplifying the process for users.

The plugin's current capabilities encompass a range of functionalities such as buying nonfungible tokens (NFTs), transferring tokens, examining transactions, analyzing public account data, and identifying NFT collections based on their floor price on the Solana blockchain.

"According to Anatoly Yakovenko, co-founder of Solana, developers focusing on consumer-oriented applications must consider how their apps will engage with AI models, as it represents a novel approach to instructing computers."

The Solana Foundation has recently revealed its plan to amplify funding for grants focusing on the convergence of the Solana blockchain and artificial intelligence (AI) to a total of $10 million. This commitment represents a significant increase from the initial pledge of $1 million. As part of the rolling grants program, developers have already submitted 50 applications, demonstrating considerable interest in this innovative field.

Furthermore, the Solana Foundation has launched a three-month accelerator initiative targeted at university students. This program aims to facilitate exploration and experimentation with blockchain and artificial intelligence (AI). Numerous applications were received from projects and contributors, and as a result of the AI cohort, a chatbot called "ask Solana U" has already been developed by the participating developers.

Hivemapper recently introduced AI Trainers, a new feature in its ecosystem, which utilizes real-world imagery to create accurate digital maps. These maps include essential details like speed limits, warning signs, and other street-related information. Solana developers have reported that over 5.7 million AI training reviews have been conducted by protocol contributors, resulting in a consensus on 500,000 objects.