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Theoriq

@theoriqai

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Wen Agents and Why Web3? - We’re often asked, so we wrote about it. https://bit.ly/3Aev3TG Check out our blog to explore the future of AI agents. By 2025, AI agents will become mainstream. Research in this field has surged, with published papers up 50% in the past year. 📈 AI is already part of our lives, from “co-pilot” features to virtual assistants. 🤖 As AI takes on more complex tasks, the need for specialized agents grows, making agent collectives crucial. With agents managing tasks like budgeting and workflows, a marketplace for discovering and integrating them is essential. 🔗 The future needs a protocol to assemble and manage tailored agent teams. Theoriq offers an evolution-proof solution for building and trading custom agents. Our partners @spaceandtimedb noted that the next billion Web3 users might be AI agents. 🤝 And the rabbit hole gets deeper. Discover where we're headed in our latest blog 👇🏼
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The first step in building an AI framework that adapts and improves over time is to create a foundation where AI Agents can operate autonomously. 🏗️🤖 The Theoriq protocol uses hierarchical abstraction to define Agents by their behaviors. And there’s more to it than that. 🧩 We’ve introduced four specialized types of Agents: 🕵️‍♂️ 1️⃣ Collectives 2️⃣ Aggregators 3️⃣ Evaluators 4️⃣ Optimizers Let’s take it one step further. 🔍 Each Agent receives a budget when invoked and is responsible for autonomous budget management, including allocation for its own services and task delegation to other Agents. 🔄 This structure standardizes a composable AI ecosystem where Agents with diverse capabilities can be seamlessly integrated. 🌐 We’re launching an educational series on our litepaper to highlight what sets us apart from other AI Agent platforms. In the meantime, read the litepaper and stay tuned! 👀 📄 https://bit.ly/theoriq-litepaper
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The buzz around AI agents is growing, and many are asking: when will we see widespread adoption? We believe 2025 will be the breakthrough year for AI agents, with the Web3 ecosystem leading the charge. AI agents, driven by advanced models and blockchain tech, promise to revolutionize how we interact with software, evolving from mere chatbots to powerful, autonomous tools. The rise of generative AI has supercharged chatbots like ChatGPT leading to integrated "co-pilots" in tools like Office and Slack. Top providers AI models are now focusing on enhancing planning and reasoning to handle even more intricate assignments. Likewise, Google DeepMind recently released a benchmark for AI agent planning showing that it is a priority research area. Google Cloud even has a Web3 division, subtly nudging startups to use their testnet and other resources to build using their resources. Stay tuned to hear about our upcoming partnership with Google Cloud, where we are using their tools to scale our AI solutions.
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