We have heard lots about AI agents -tools which might be operated by generative AI models that may perform actions without loads of human surveillance or intervention.
But they still remain a brand new curiosity for most individuals, and so far as we will assess, only a few people trust AI agents to purchase or complete contracts on their name.
GenlayerA startup only from Stealth is of the opinion that it has a technology that offers the AI ​​agent economy the shortage of “trust” component.
The idea of ​​Genlayer is a blockchain-driven infrastructure with which AI agents can design contracts, conclude payments and autonomously perform agreements.
Last autumn the corporate announced 7.5 million US dollars Remarkable investors, including Arthur Hayes (Melstrom), Arrington Capital and North Island Ventures, to bring this vision to life.
How to trust AI agents for people – and to trust one another
AI agents already prove their ability to investigate data, do business and manage assets, but there may be a fundamental problem: they don’t trust in nature. In contrast to humans, AI agents don’t fear complaints or status damage – how can they implement agreements?
Albert Castellana, CEO of Yeagerai (the corporate constructing Genlayer), sees this as a critical mistake in today's AI development.
“Even in a situation wherein they’ve agents who can do the trade between themselves, how do they trust one another?” Castellana recently said in an interview with venturebeat. “Ai does stay awake, AI works worldwide, AI cannot go to prison. The legal system may have a serious problem with this sort of situation. “
Conventional smart contracts that operate blockchain-based transactions are too rigid for an AI-controlled trade.
You cannot process structured data, understand complex language or adapt to changes in the actual world.
Genlayer desires to upgrade intelligent contracts in “intelligent contracts” upgraded, flexible agreements operated with AI that work similarly to human contracts.
In contrast to traditional blockchains, wherein external oracles need to access off-chain data, Genlayer AI integrates directly on the protocol level. Intelligent contracts can access live web data natively, process natural language inputs and reason for complex, real conditions-without counting on the services of third-party providers.
“Blockchains enable self -reinforcement contracts, but have restrictions,” said Castellana. “You cannot hook up with the skin world, you can’t understand structured data. But AI needs contracts which might be way more like human contracts – fast, low cost and adaptable. “
Genlayer solves this with “optimistic democracy, an AI-controlled consensus model, wherein several validator jewels coordinate different major language models (LLMS) -Thar about whether a contract or a choice is valid with AI producers. This ensures that not a single AI model has control and prevents manipulation.
“We have created a blockchain wherein validators, even in the event that they receive different answers from AI or Internet, can still achieve consensus,” said Castellana. “It is largely a court system for the long run of trade.”
How Genlayer's approach works
In its core, Genlayer acts as a native of trust-and-independent system, which ensures that AI agents work fairly in financial transactions, contract execution and dispute resolution.
The most significant functions include:
- Intelligent contracts: AI-operated agreements, process the natural language and access live web data.
- AI-controlled decision making: A consensus model wherein several AI models coordinate the outcomes to make sure reliability.
- Optimistic democracy: A blockchain-based governance model that forestalls AI manipulation through the use of decentralized decision-making.
- Interoperability on chains and chain: The possibility of mixing intelligent contracts with real data and web sources.
- ZKSync integration: Scalability, low costs and security at Ethereum level.
At the middle of Genlayer is the “optimistic democracy”, an improved DPOS model (Delegated Proof of Stake), which integrates AI directly into the blockchain validation. Instead of counting on deterministic logic, Validators establish a connection to LLMS to process natural language, interpret data and perform complex decisions on chains.
When a transaction is submitted:
- A pacesetter Validator processes the request and suggests a result.
- A lot of validators record the transaction independently of each other and make sure the leader's proposal.
- If the bulk agrees, the transaction is complete. If not, a brand new ladder is chosen and the method is repeated.
This mechanism prevents manipulation and ensures that the selections of AI-generated and more by the judgment of a single company are supported by consensus.
Inspired by Condorcet's jury theorem -A mathematical and political science theory of the 18th century of the Marquis de Condorcet, which says that a jury is more more likely to make an accurate decision with more participants, the AI ​​spending on several validators, which ensure non-detective-minist tasks corresponding to the interpretation of legal contracts and the review of fairness and reliability, also for non-detower checked legal contract contracts, or to convey the refinement of dynamic price models.
The approach is described in a white paper, which was published by Genlayers three co -founders, Castellana, JosĂ© MarĂa Lago and Edgars Nemše. You can find it embedded below.
Why Genlayer believes that his moment has arrived
The race to create autonomous AI firms accelerates. Companies corresponding to Openaai organize AI agents who can work independently, but they still depend on slow, human-controlled legal and financial systems.
“AI won't wait for lawyers,” emphasized Castellana. “If we would like AI take part in the economy, we want an infrastructure that corresponds to its speed.”
Other startups cope with transactions with AI-Agent-like Skyfire and Pin Ai but Genlayer follows a distinct approach. Instead of concentrating on constructing AI agents themselves, Genlayer creates the layer of trust that permits them to finish.
“There are 100 startups on AI agents,” said Castellana. “But trust requires a 3rd party. We construct this third – the infrastructure that permits an AI trade. “
Genlayer introduces a native gas token called gen. Users pay transaction fees in genes, that are then distributed as a reward for his or her services to the validators.
This approach ensures that AI-controlled transactions remain quickly, inexpensive and self-supporting. In addition, Genlayer's token-based push-up model is aligned with rewarding honest validators and punishing bad actors through slashing mechanisms.
What's next?
The Genlayer tests starts early projects which might be on:
- AI guided supply chains This negotiates logistics autonomously.
- AI-operated influencer marketing Where payments are performance -based.
- Decentralized financial applications This uses AI for the trade version.
- Autonomous decentralized autonomous organizations (Daos) This adaptation of governance based on real-time community feedback.
- AI-operated insurance and lending This adapts the terms based on external risk aspects.
The company will introduce its technology Ethereum Community Conference (ETHCC8) takes place on June thirtieth to July 3. in Cannes, France.
The AI ​​economy comes – but without trust it’s going to not scale it. Genlayer depend on the proven fact that AI-controlled contracts which might be enforced on the blockchain shall be the premise for a mechanical marketplace for trillion dollar.
“We construct the legal framework for global AI trade,” said Castellana. “This is about enabling AI, working together, not only faster, but additionally with trust.”
