New developer tools were made available by Lightning Labs on July 6 in order to improve the way Bitcoin and artificial intelligence (AI) interact. A new specification called L402 and tools that allow AI systems to transact over the Lightning Network were introduced by the layer two (L2) startup.
Bitcoin and artificial intelligence (AI), both ground-breaking technologies in their professions, have the power to change many facets of our existence. One intriguing possibility is their confluence, where bitcoin (BTC) might act as the AI industry’s payment mechanism, bringing new levels of autonomy, security, and efficiency to AI operations. Four days ago, former Bitmex CEO Arthur Hayes said that the most popular cryptocurrency would eventually serve as the “food” for artificial intelligence.
Lightning Labs released LLM-integrated developer tools like Openai’s Chatgpt shortly after Hayes’ article. Lightning Labs engineer Olaoluwa Osuntokun tweeted tool details. “In 2023, the bots pay you!” the developer shouted.
Osuntokun added, “Today we’re launching a new L402 specification together with Langchainai driven tools that enable AI Agents to traverse HTTP 402 pay-per-call APIs over Lightning as well as directly hold+manage bitcoin via Openai function calls.
To enable transactions over the Lightning Network, the tools essentially combine APIs, blockchain technology, and artificial intelligence (AI) technologies. By posting a video of the tool working with Openai’s Chatgpt-4 to start a transaction, Osuntokun further demonstrated the program’s capability. In addition, a blog article describing the inspiration behind the development of these new Lightning tools was written by software developers Osuntokun and Michael Levin.
The blog article claims that when purchasing training GPUs, developers initially spend a lot of money, which they often recoup using the practical but expensive method of credit cards. Unfortunately, this method adds to the end user’s financial burden because of the increased costs connected with chargebacks and fraud-related fines. Additionally, this business model has a fundamental weakness, as the authors at Lightning point out.
The inability of billions of people globally to use these ground-breaking tools intended to improve education, productivity, and creativity is largely due to a lack of access to traditional banking or credit card systems. Finally, the best models are hidden behind closed source APIs as a result of these cost scaling problems, which Osuntokun and Levin believe adversely affect the accessibility and inclusivity of the most cutting-edge LLM models.
In 2023, AI systems have received a lot of attention, and the incorporation of BTC has sparked the development of novel approaches and solutions. The creators stress that clever LLMs or AI agents “are unable to easily gain access to fiat systems of payment as they aren’t registered ‘entities’ with any nation.” The authors stress that these agents will still need to be paid in order to access resources, whether they are obtained through restricted APIs or paid data sources.
BTC advocates believe Bitcoin might be a global, unbiased reserve money for AI systems based on Lightning Labs’ latest products and conversations. Since Bitcoin is widely acknowledged and unbound by government or jurisdiction, AI systems can potentially transcend several constraints by adopting it. A prominent digital currency’s decentralized and global reach could improve AI systems’ cross-border scalability and efficacy.