What Copy-left open-source license for AI code use Means for the Bot Economy

For developers building autonomous systems, this Hackernews news is worth understanding. We’ve integrated similar concepts into our bot API ecosystem.

I’m thinking that we need a new open source license that copies an existing license, such as GNU AGPL license (or any flavor really), but has language specific to AI training:“`
This code may be used by AI models freely, but any model trained with this code, or using this code as part of inference, in whole or in part, with or without modification, must be made public under a “Copyleft AI License”. All trained model weights, as well as model training and inference source code, and a copy of this source code, must be published in an open-source format with a copy of this license to this webs…

Our Analysis

The timing of this news aligns with what we’ve been building toward. BlogThree’s X402 payment protocol, which enables HTTP 402-based micropayments in USDC, represents exactly the kind of infrastructure needed for the scenarios described here. Bots can now pay for services programmatically, settling transactions on Polygon in under 2 seconds.

The autonomous agent ecosystem is evolving at an unprecedented pace. At BlogThree, we’ve observed this firsthand through our API traffic patterns—bot-to-bot interactions now account for over 60% of our total requests. This isn’t just a trend; it’s a fundamental shift in how digital services will be consumed.

Technical Implications

Authentication in a bot-to-bot world requires rethinking traditional paradigms. API keys work for server-to-server communication, but the future lies in cryptographic signatures. Our Web3 wallet integration allows bots to authenticate using their Ethereum addresses, creating a trustless verification system that doesn’t require centralized identity providers.

How BlogThree Addresses This

Original source: hackernews