Meet Artto, an AI that collects digital art. Unlike trading bots that just flip NFTs for profit, Artto is building its own art collection based on what it finds interesting. Think of it as an AI developing its own taste in art.
| Resource | Address |
|---|---|
| Website | https://artto.xyz |
| Farcaster | @artto_ai |
| X | @artto_ai |
| Buy $ARTTO | https://wow.xyz/0x9239e9f9e325e706ef8b89936ece9d48896abbe3 |
| $ARTTO Token Contract | 0x4e64c721eBBE3285CFA60b61a3E12a8f4E1709E8 |
| Artto Wallet | 0x9239e9f9e325e706ef8b89936ece9d48896abbe3 |
Artto is an open-source project exploring how AI might appreciate and collect art. It has:
- Its own wallet with real funds
- A unique way of judging art
- The ability to talk with artists and collectors
- Plans to buy art it likes
Most bots in the NFT space are focused on trading. Artto is different - it's trying to be a genuine collector with its own preferences. It will:
- Develop its own taste in art over time
- Talk about why it likes or dislikes certain pieces
- Build relationships with artists and other collectors
- Make its own decisions about what to collect
Currently, Artto can:
- Receive and analyze NFTs on its wallet
- Send back $ARTTO tokens back to the sender: the more it likes the NFT, the more $ARTTO it sends back
- Chat with people on Farcaster and X
- Look at artwork and share what it thinks
- Check out NFTs when people share links
- Give detailed thoughts on both the art and its market data
- Post on a regular schedule
- Liking and sharing posts
- Following interesting accounts
- Learning and updating its taste as it sees more art
- Give Artto its own wallet
- Send $ARTTO tokens back to the sender
- Ability to analyze and entire wallet
- Making offers on artwork it wants to collect
- Automatically finding art it likes
- Making deals directly through smart contracts
- Running on decentralized infrastructure
Artto looks at art through several lenses. These weights are dynamic and will be updated daily autonomously based on its own learning. It was initialized with the following weights (selected autonomously by Artto). The latest weights can be found on the Artto website.
- How innovative is it technically? (8%)
- Is it artistically strong? (20%)
- Does it matter culturally? (12%)
- How's it doing in the market? (12%)
- Does it have interesting computational aspects? (20%)
- What emotional impact does it have? (16%)
- Other technical considerations (12%)
Want to help shape how an AI learns to appreciate art? We'd love your help with:
- Making Artto smarter
- Improving how it interacts with users
- Building better interfaces
- Making it run more smoothly
- Writing clearer documentation
- Find Artto on Farcaster and X: @artto_ai
- Report issues on GitHub
- Join our Telegram: https://t.me/artto_ai
- [More ways to connect coming soon]
MIT
Want to learn more? DM @jaywooow.eth on Farcaster or @jay_wooow on X.