In a step that contemplates the Big Tech fist on artificial intelligence, the AI AGENT Thinkagents.AI has launched a new open -source frame for building ONSAIN agents, which works independently over decentralized networks.
While traditional systems aim to restrict data ownership and the capabilities of their users, Thinkagents.AI creates an operating ecosystem and its users control. For Mike Anderson, the primary contributor to Think, Think Standard is the future of artificial intelligence.
Anderson and his team developed Think Agent Standards to enable millions of independent AI agents for treatment and communication. The protocol now contains more than 70 companies, such as definition and Yuga Labs, on board for help.
The platform is now alive, allowing developers, institutions and web3 societies to experience the framework.
“There was always this idea that it is very difficult [build AI] Anderson said during an exclusive interview with Cointelegraph: “By uniting the demand – by uniting the demand – the way people who want to get artificial intelligence want – you can get the entire market because they want customers,” by uniting the demand – the way people want to obtain – you can get the entire market because they want customers. “
After Meta’s Llama 2 a few years ago, Anderson and his team decided that if the decentralized AI’s future was manifested at all, they needed to make sure that consumers can use fee processing units easily (GPU) without spending billions of dollars.
“We have seen this entire ecosystem that started to grow, as people say:” I will build this part of the stack, “and others say they will” build this part of the stack, “as if the Amazon (AWS) services have appeared with each section, where one of them said that they will do the data and their other saying will do the networks.”
We have found that the problem does not contain enough builders, it is their alignment about the state of actual use.
Developing the standard of artificial intelligence
Think Agent Standard was launched by Think Protocol, in partnership with the Independent AI case, with the issue of initial use about Anderson and his team that determines the artificial intelligence agent (a place on Blockchain can access the computer and can make decisions), and artificial intelligence agents play video game Street fighter 3 Against each other. The issue of use brought nine different companies to work together for an audience of 30,000 viewers last summer.
This has emphasized the idea that we can unify all these infrastructure companies, provide a better product for customers, and do so in a way that users have their information, data, keys and encryption.
Because if the possession and control of the artificial intelligence agents will remain in the hands of users, then the decentralized AI agent platforms must be simple and intuitive for the user, and its design well and delivering a user experience that can change the way we use and understand social media.
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Anderson said: “Imagine if we had insight in 2003 to see social media as a way to organize our lives,” Anderson said. “Instead of having accounts on myspace, Facebook and Twitter, what if we have a standard as you follow your accounts You– Where all your data and all you have published in the past is something you offer to they. It is completely different if users have their accounts and data and can choose to see ads where they It will benefit from them. This is what we build. “
The future of artificial intelligence agents
Just as the ERC-20 standard enables the distinctive economy, Think Agent Standard offers a normative system, not authorized and authorized, which allows artificial intelligence customers to work as sovereign digital entrepreneurs: possession of conservatives, interacting with smart contracts and dealing with all problems in all problems.
Each Think agent is run by Intelligence ™ (NFI), a digital identity layer that creates ownership, memory and authentication, with the basic genome panel on Root network The subsequent layers that are published in any network are already connected.
The agents consist of three basic elements: the soul (NFI), which provides an ongoing self -identity; The mind, which governs behavior and decision -making; The body, which allows interaction through platforms and environments.
The first platform built on Think Agent Standard is Souls, Personal AI Applied Applied Applicants can possess, train and customize. Souls connects thousands of open source applications and developed over time by integrating the best intelligence available without compromising the user or ownership privacy.
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The leading organizations in games, infrastructure, and AI Tolidi, including Yuga Labs, FutureVERSE, Alchemy, Render, Venice.ai and Magic Eden, actively integrate the standard in real world applications, which increases its capabilities through cases of use.
Anderson said: “Artificial intelligence agents are the new façade of technology,” Anderson said. “What we were able to do successfully is partnership with brands for consumers – such as Ape Yacht Club – to get a distribution at the end of the consumer, and we have been able to build all systems so that they can reality access Consumers. ”
We help people move to the era of artificial intelligence by owning their intelligence rather than renting it from another person.
For Anderson, the personal artificial intelligence agent is similar to the personal dashboard that works as an extension for your real self. If the information contained in your artificial intelligence agent will leak, the results may be disastrous. For this reason, he believes in thinking about uniting the system with which the agent can interact with, with the support of encryption, regardless of the agent chain. If there is a safe and successful standard in the user’s artificial intelligence agent, Big Tech will face more difficult time to control.
That is why users can possess their data through their thinking agent, eliminate the need to copy their data and live on some of the third -party exterior server. In this way, Think agents also hope to process the problem about data ownership by placing users who control their information.
Anderson said: “When a social company goes out of work, all these data are sold to the highest bidding,” Anderson said. “23andme is the most worrying example of it. It did not give you your DNA data and then delete it from their servers, and their business model was actually selling your data to others. Now, who knows who is the higher bidder. Is it an insurance company? The Chinese government? Who is your data exhaust more valuable than your DNA.”
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