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Ava Labs CEO Thinks Coin-Operated Agents Will Bring Vibecoding to Blockchain

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James Morales
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Key Takeaways

  • Ava Labs is building an Avalanche subnet for “coin-operated agents”.
  • The basic premise of coin-operated agents is that built-in AI models will replace traditional blockchain programming with natural language interactions.
  • The futuristic technology will let anyone deploy complex blockchain transactions and smart contracts.

In 2023, Avalanche founder Emin Gun Sirer introduced the term “coin-operated agents” to describe on-chain AI agents that can be triggered or incentivized by crypto transactions.

While the technology remains experimental, in an interview with CCN, Gun Sirer expanded on how the concept has grown alongside advances in AI capabilities.

What are Coin-Operated Agents?

The premise of coin-operated agents on Avalanche is that specially-equipped blockchain validators will be capable of running Large Language Models (LLMs).

As Gun Sirer explained, at its heart, the concept is about enabling everyday users with little to no coding experience to program smart contracts—essentially vibecoding for blockchain.

“What coin-operated agents bring to the table is a blockchain system where the blockchain is programmed in a natural language,” he emphasized.

Expanding Smart Contract Use Cases

In Gun Sirer’s view, one of the things holding back wider blockchain adoption is that transactions that are easy to describe are often difficult to program.

Consider, for example, a basic agreement that X will pay Y a sum of money if they can first raise a predetermined amount elsewhere.

This is exactly the kind of deal that smart contracts should be able to facilitate. But the vast majority of businesses today still rely on multi-step, human actions to carry out such contract requirements.

Coin-operated agents could massively expand blockchain use cases and smart contract adoption.

However, developing the technology is “fraught with all kinds of issues,” Gun Sirer observed.

Addressing AI Risks

Creating a blockchain with LLMs built in at the infrastructural level throws up some unique challenges.

“What if AI starts to hallucinate? What if AI has other ideas? What if it decides to use the money for its own purposes?” These are some of the questions Ava Labs has been dealing with, Gun Sirer noted.

AI in the Avalanche Ecosystem

To realize Gun Sirer’s vision for coin-operated agents, Ava Labs is building a new Avalanche subnet that integrates LLMs at a fundamental level.

The ambitious project would expand Avalanche’s reach in the emerging decentralized AI space, where a few platforms like BitTensor currently dominate the conversation.

Although Avalanche isn’t necessarily the first blockchain protocol that comes to mind when thinking about decentralized AI, there are a growing number of subnets, including Kite AI, Loyalty+ and Turf.GG, that are specifically designed for machine learning tasks.

As Gun Sirer sees it, such initiatives are akin to developments happening across the digital universe, where blockchains are evolving from a niche solution to a widespread feature of the modern internet.

“What we’re seeing with blockchains is that they are the next step in the evolution of large, complex software systems,” he stated.

For AI applications and beyond, he predicted that client—and server-based models will increasingly be superseded by blockchain-based ones.

As this happens, the chains themselves will start to fade into the background as technologies like coin-operated agents abstract away the complexities currently associated with the technology.

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James Morales is CCN’s blockchain and crypto policy reporter. He has been working in the news media since 2020, writing about topics such as payments, banking and financial technology. These days, he likes to explore the latest blockchain innovations and the evolving landscape of global crypto regulation. With an educational background in social anthropology and media studies, James uses his platform as a journalist to explore how new technologies work, why they matter and how they might shape our future.
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