The capability of artificial intelligence (AI) has expanded once again, as it can now send bitcoin. Lightning Labs, a Lightning infrastructure firm, recently unveiled a suite of new tools that enable AI applications like OpenAI’s GPT series to hold, send, and receive bitcoin (BTC). This development allows for the creation of Lightning⚡and #bitcoin-powered AI products with a global reach.
Lightning Labs introduced L402, a standard for API authentication using LN payments, and @langchainAI, a simplified AI app framework, to open up #AI4All. By leveraging these tools, the limitations of existing large language models (LLMs), such as the lack of an internet-based payment mechanism, can be overcome. Currently, AI platforms rely on outdated payment methods like credit cards, which pass on additional costs to end users and restrict the use cases and accessibility of AI software.
This is where Lightning, a second-layer payment network for faster and more affordable bitcoin transactions, comes into play. Lightning Labs recognizes bitcoin as the native currency of the internet and has developed tools that integrate high-volume bitcoin micropayments via Lightning with popular AI software libraries like LangChain. The incorporation of Lightning into widely used LLMs not only reduces software deployment costs but also expands the possibilities for AI applications.
According to Lightning Labs CEO Elizabeth Stark, this advancement enables the realization of previously unattainable use cases. One intriguing use case proposed by the company involves creating software capable of charging for API access. APIs facilitate communication between different software components.
In their post, Lightning Labs provides an example of an AI software or agent that can query another agent on a paid basis. The querying agent would pay for API access to the agent being queried, and additional payments would only occur after receiving a satisfactory response.
Despite the tremendous success of ChatGPT, an advanced chatbot developed by OpenAI, Michael Levin from Lightning Labs predicts that chatbots and their user interfaces (UIs) are just the beginning. He believes that the majority of use cases will emerge in yet-to-be-discovered enterprise and software-as-a-service (SaaS) applications.
Levin further states that while chat UIs represent only a fraction of the potential, LLM usage extends far beyond them. The true value lies in SaaS, enterprise, and API products built on LLMs to address unique user problems.