AI Agents negotiating and trading with each other including payment is rapidly becoming a reality.
But the mainstream AIs have not learnt about it yet…. we asked Claude from Anthropic… which is normally on point.
#ai conversations #claude #negotation #payment
The concept of AI agents autonomously negotiating and paying each other to complete tasks, like paying for language model tokens, is still largely theoretical and not yet widely implemented in practice. However, it’s an active area of research and development in the field of artificial intelligence and decentralized systems. Here’s an overview of the current state:
- Current state:
- This type of system is not yet widespread or in common use.
- Most existing AI systems and language models operate within closed ecosystems controlled by their creators.
- Peer-to-peer negotiations between AI agents are mainly confined to research environments and limited prototype systems.
- Research and development:
- There is ongoing research into multi-agent systems where AI agents can interact, negotiate, and potentially exchange resources.
- Projects exploring decentralized AI and autonomous economic agents (AEAs) are being developed, but are still in early stages.
- Blockchain and cryptocurrency integration:
- Some projects are exploring the use of blockchain technology and cryptocurrencies to facilitate transactions between AI agents.
- Smart contracts could potentially be used to automate negotiations and payments between AI systems.
- Challenges:
- Technical challenges in ensuring secure, fair, and efficient negotiations between AI agents.
- Ethical and regulatory concerns about autonomous AI systems engaging in financial transactions.
- Need for standardized protocols for inter-agent communication and resource exchange.
- Potential applications:
- Distributed computing networks where AI agents could buy and sell computational resources.
- Decentralized AI marketplaces where agents could trade specialized skills or access to training data.
- Autonomous systems in IoT (Internet of Things) environments negotiating for resources.
- Timeline for widespread adoption:
- While there’s significant interest in this concept, widespread practical implementation is likely still several years away.
- Adoption will depend on advancements in AI, blockchain technology, and regulatory frameworks.
It’s important to note that while this technology is promising, it’s still largely conceptual. The widespread implementation of AI agents autonomously negotiating and paying each other for tasks like LM tokens is not yet a reality. As with many emerging technologies, the actual development and adoption may take different paths than currently envisioned.
If you’re interested in staying updated on this topic, I’d recommend following research publications from major AI labs and institutions working on multi-agent systems and decentralized AI. Would you like more information on any specific aspect of this concept?
COOPER & CO 