Press Release Archives - ASI | Artificial Superintelligence Alliance https://superintelligence.io/category/press-release/ Artificial Superintelligence Alliance: Research and Infrastructure for Decentralized AGI Thu, 24 Apr 2025 00:21:04 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.1 https://superintelligence.io/wp-content/uploads/2025/01/cropped-favicon-32x32.png Press Release Archives - ASI | Artificial Superintelligence Alliance https://superintelligence.io/category/press-release/ 32 32 Functionland Integrates ASI-1 Mini with to Enable an Autonomous AI Ecosystem https://superintelligence.io/functionland-integrates-asi-1-mini-with-to-enable-an-autonomous-ai-ecosystem/ Mon, 10 Mar 2025 07:49:36 +0000 http://localhost:10053/?p=7282 March 10, 2025 – Fetch.ai and Functionland (fx.land) are excited to announce a strategic partnership that pioneers a new era of decentralized artificial intelligence. This collaboration integrates Fetch.ai’s ASI-1 Mini...

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]]> March 10, 2025 – Fetch.ai and Functionland (fx.land) are excited to announce a strategic partnership that pioneers a new era of decentralized artificial intelligence. This collaboration integrates Fetch.ai’s ASI-1 Mini (asi1.ai)—the world’s first Web3-native Large Language Model (LLM) optimized for agentic workflows—with Functionland’s NPU-powered decentralized hardware, creating a fully autonomous AI ecosystem that operates entirely at the edge.

By combining ASI-1 Mini’s advanced Mixture of Models and Mixture of Agents architecture with Functionland’s edge computing devices, this partnership eliminates reliance on cloud infrastructure, delivering enterprise-grade AI capabilities with enhanced privacy, efficiency, and user control. The decentralized AI stack enables local AI execution, ensuring complete data ownership and autonomy for users and businesses alike.

ASI-1 Mini is designed to be more hardware efficient than conventional AI models, making it the perfect match for Functionland’s high-performance NPUs. This synergy brings an unprecedented level of performance and accessibility, allowing users to deploy powerful AI agents on decentralized infrastructure—without compromising speed or functionality.

This collaboration represents more than just a technological advancement—it is a paradigm shift in AI accessibility. By eliminating cloud dependencies, Fetch.ai and Functionland enable individuals, enterprises, and developers to fully own and control their AI models and data. This partnership also fosters a shared token economy, ensuring that communities benefit directly from the AI revolution they help drive.

“Our partnership with Fetch.ai represents a fundamental shift in AI deployment. By integrating ASI-1 Mini with our decentralized hardware, we’re empowering users to fully own both their AI and data—eliminating the false choice between powerful AI capabilities and privacy. This is how we democratize access to AI technology.” said Ehsan Shariati, founder of Functionland.

The Fetch.ai and Functionland partnership paves the way for the next wave of decentralized applications (dApps) that are smarter, more autonomous, and deeply integrated with community-driven AI models. This innovation marks a new chapter where AI is no longer confined to centralized entities but is instead a collective resource, owned, operated, and improved by its users.

About Fetch.ai

Fetch.ai inc, a Delaware AI company and founding member of ASI Alliance, is redefining the possibilities of an intelligent and connected world through its AI agent-based technology. Fetch.ai‘s infrastructure technology enables developers and businesses to build, deploy & monetize through an agent-based modular platform for the new generation of AI applications. The company’s core product, Agentverse, fuses Language Models (LLMs) and AI Agents to create an open and dynamic marketplace that connects users to services and reimagines the current search experience.

For additional information visit: fetch.ai

About The Artificial Superintelligence Alliance

The Artificial Super Intelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET (SNET), Ocean Protocol and CUDOS. As the largest open-sourced, independent entity in AI research and development, this alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI).

For additional information on ASI, visit: superintelligence.io

About Functionland

Functionland’s flagship product, Fula Platform, revolutionizes data infrastructure by enabling individuals to monetize their devices’ idle storage capacity as decentralized data centers. It slashes storage costs by 60% while safeguarding data sovereignty, while extending the usage of valuable decentralized compute resources, and empowering users to create an ecosystem poised to redefine the future of AI development.

For additional information visit: fx.land

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]]> Fetch.ai Inc. Introduces ASI-1 Mini: The World’s First Web3 LLM, Designed for Agentic AI https://superintelligence.io/fetch-ai-inc-introduces-asi-1-mini-the-worlds-first-web3-llm-designed-for-agentic-ai/ Tue, 25 Feb 2025 06:30:55 +0000 https://staging.superintelligence.io/?p=6255 The post Fetch.ai Inc. Introduces ASI-1 Mini: The World’s First Web3 LLM, Designed for Agentic AI appeared first on ASI | Artificial Superintelligence Alliance.

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February 25, 2025 –  Fetch.ai Inc., a founding member of the Artificial Superintelligence Alliance, has launched ASI-1 Mini, marking the debut of the first Web3-native large language model (LLM), specifically built and optimized for supporting complex agentic workflows. Benchmarking results demonstrate that ASI-1 Mini delivers performance on par with leading LLMs currently available in the market with significantly lower hardware costs. With seamless Web3 integration, ASI-1 Mini will enable users to interact with AI securely and autonomously. 

Powered by $FET through the ASI wallet integration, ASI-1 Mini is the first model in the ASI:<Train/> family, an ASI Alliance initiative set to expand with the upcoming launch of the Cortex group of models – centered around use of large language models and generalized intelligence. This pioneering approach democratizes access to foundational AI models, allowing the Web3 community to invest, train and own them. By doing so, it enables individuals to directly benefit from the growth of these models that could unlock multi-billion-dollar valuations, creating a new era of decentralized ownership and shared value in AI technology.

ASI-1 Mini introduces next-level adaptive reasoning, context-aware decision-making. It features native reasoning support with four dynamic reasoning modes, intelligently selecting from Multi-Step, Complete, Optimized, and Short Reasoning, balancing depth, efficiency, and precision. Whether tackling complex, multi-layered problems or delivering concise, high-impact insights, ASI-1 Mini ensures reasoning is always tailored to the task at hand. 

“ASI-1 Mini is the first major product from the ASI Alliance’s innovation stack, marking the beginning of the ASI:<Train/> rollout and a new era of community-owned AI. This launch sets the foundation for a decentralized ecosystem where the Web3 community can invest, train, and directly benefit from cutting-edge AI models,” said Humayun Sheikh, CEO of Fetch.ai and chairman of the ASI Alliance. “ASI-1 Mini is just the start—over the coming days, we will be rolling out advanced agentic tool-calling, expanded multi-modal capabilities, and deeper Web3 integrations. With these enhancements, ASI-1 Mini will drive agentic automation while ensuring that AI’s value creation remains in the hands of those who fuel its growth.”

ASI-1 Mini: Advanced Model Architecture

ASI-1 Mini introduces a next-generation AI architecture by extending the Mixture of Experts (MoE) framework into a Mixture of Models (MoM) and Mixture of Agents (MoA) approach. This enables a more decentralized, efficient, and scalable system, optimizing speed, resource allocation, and autonomous decision-making across diverse tasks.

  • Mixture of Models (MoM): Instead of a monolithic structure, ASI-1 Mini dynamically selects from multiple specialized models, each optimized for specific tasks or data types. A gating mechanism ensures that only the most relevant models are activated, enhancing efficiency, speed, and scalability. This is particularly beneficial for multi-modal AI, federated learning, and task-specific pipelines.
  • Mixture of Agents (MoA): Autonomous agents, each with independent reasoning, knowledge, and decision-making, collaborate seamlessly to solve complex tasks. A coordination mechanism ensures efficient task distribution, making the system resilient, decentralized, and adaptive. MoA is critical for multi-agent systems, decentralized AI, and collaborative intelligence in dynamic environments. Agents act as the intelligent I/O and execution components of the architecture.

The architecture envisions a three-layered system:

  • Foundational Layer (ASI-1 Mini): This layer acts as the central intelligence and orchestration point. ASI-1 Mini, with its MoE architecture and optimization for agent/tool calling
  • Specialization Layer (MoM Marketplace): This layer houses a collection of AI models (MoMs) with various specializations, created and offered through the ASI:<Train/> platform. Each MoM is designed for a specific domain or task, providing expert-level inference within its area of specialization.
  •  Action Layer (Agents on Agentverse): This layer consists of a variety of agents, each with specific capabilities:

These layers interact to enable complex, multi-step tasks by combining the reasoning power of ASI-1 Mini with the specialized knowledge offered by MoMs and the execution capabilities of diverse agents.

By integrating MoM and MoA, ASI-1 Mini achieves unparalleled adaptability and efficiency, activating only the necessary models and agents for any given task—ensuring optimal performance with precision, speed, and scalability.

Performance and Scalability

ASI-1 Mini revolutionizes AI efficiency by delivering high-performance execution with significantly lower hardware requirements. ASI-1 Mini operates seamlessly on just two GPUs, making enterprise-grade AI more accessible and cost-effective. This results in 8x greater hardware efficiency, reduced infrastructure costs, and increased scalability—allowing businesses to integrate AI without prohibitive investment.

ASI-1 Mini is a highly versatile performer on Massive Multitask Language Understanding (MMLU) benchmarks, often matching or surpassing industry leaders in domain-specific tasks. It excels in medical sciences, history, logical reasoning, and business applications, consistently competing with top LLMs across multiple domains. This strong foundation establishes ASI-1 Mini as a well-rounded model capable of excelling in high-stakes decision-making, research-intensive fields, and enterprise-level AI applications.

Expanding Context Window for Complex AI Tasks

ASI-1 Mini will soon process exponentially larger amounts of information through its expanded context window, rolling out in two phases:

  • Up to 1 million tokens – Enabling AI to manage highly complex, multi-layered tasks such as analyzing long documents or detailed technical manuals.
  • Up to 10 million tokens – Facilitating large-scale data analysis, including legal records, financial transactions, and comprehensive enterprise datasets.

These advancements will unlock new capabilities in decision-making and automation, making AI more effective for high-stakes applications.

Overcoming the Black-Box Problem

The black-box problem refers to situations where AI systems, particularly deep learning models, generate outputs without offering understandable explanations for how they arrived at those conclusions. For example, a healthcare AI tool might predict the risk of a certain disease but fail to clarify which factors influenced its decision-making process.

Unlike models that reason only at the start of a task, ASI-1 takes a step further in addressing the black-box problem by employing continuous multi-step reasoning. This allows for real-time corrections, optimized decision-making, and greater reliability. While it doesn’t entirely eliminate the opacity, ASI-1 significantly enhances transparency by providing more explainable outputs—critical for high-stakes applications in healthcare, finance, and other industries.

Through its multi-expert model architecture, ASI-1 fosters intelligent collaboration among specialized AI agents, optimizing complex workflows across diverse sectors. Whether managing live databases, integrating external APIs, or overseeing real-time business operations, ASI-1 outperforms traditional models in both speed and accuracy, providing clearer insights into how decisions are made.

ASI-1 Mini and ASI:<Train/>

ASI-1 Mini, part of the Cortex collection, ushers in a new era of community-driven AI innovation. With ASI:<Train/>, the Web3 community can now directly participate in the training and development of advanced AI models. By decentralizing the training process, ASI:<Train/> empowers individuals to contribute to the creation of cutting-edge LLM and specialist modelswithin the Cortex collection, reshaping how AI is developed and owned.
This collaborative ecosystem allows the community to stake, train, and own AI models, ensuring that the financial rewards from AI-driven advancements are more equitably distributed. By providing access to curated model collections, ASI:<Train/> enables users to not only invest in but also share in the revenue generated by these transformative technologies.
With an emphasis on community contributions, ASI:<Train/> accelerates innovation through its decentralized compute network (ASI Compute), creating opportunities for members to refine and build AI models together. This approach fosters shared resources, democratizing AI development, and driving solutions that revolutionize industries while enabling new business models.

The Future of Agentic AI

ASI-1 will redefine agentic AI with unmatched capabilities:

  • Real-time execution for immediate decision-making and adaptability
  • Agentic workflows, eliminating the need for human micromanagement
  • Scalable deployment on smaller hardware, reducing computational overhead
  • Transparent AI outputs, addressing the black-box problem
  • Advanced knowledge representation, surpassing traditional RAG systems

Pricing and Upcoming Features

ASI-1 Mini will be connected to AgentVerse, Fetch.ai’s agent marketplace, enabling users to build and deploy autonomous agents capable of executing real-world tasks with simple language commands. Once fully integrated, ASI-1 Mini will empower users to request complex tasks—such as booking hotels or dinner reservations—using plain language. These requests will be compiled into micro-agents, hosted within AgentVerse, that seamlessly execute tasks. Developers can monetize these micro-agents, pioneering a new open-source ecosystem where customized AI functionality is easily accessible, and the agentic economy thrives.

ASI-1 Mini is available today as a tiered freemium product for $FET holders, giving users immediate access to its powerful capabilities. In the coming weeks, agentic tool-calling capabilities will be rolled out, enabling even more advanced functionality. Additionally, users can connect their Web3 wallets for a seamless and personalized experience.

With ASI-1 Mini, Fetch.ai is delivering the future of intelligent, autonomous AI—ready to transform businesses and Web3 ecosystems alike.

ASI-1 Mini is built for multi-modal understanding and will soon expand its ability to process and generate insights across multiple data types. As its agentic workflows evolve, ASI-1 Mini will achieve more precise and context-aware decision-making, ensuring seamless adaptability across structured text, images, and complex datasets. 

About Fetch.ai

Fetch.ai inc, a Delaware AI company and founding member of ASI Alliance, is redefining the possibilities of an intelligent and connected world through its AI agent-based technology. Built on Cosmos, Fetch.ai’s infrastructure technology enables developers and businesses to build, deploy & monetize through an agent-based modular platform for the new generation of AI applications. The company’s core product, Agentverse, fuses Language Models (LLMs) and AI Agents to create an open and dynamic marketplace that connects users to services and reimagines the current search experience. For additional information visit: fetch.ai

About The Artificial Superintelligence Alliance

The Artificial Super Intelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET (SNET), Ocean Protocol and CUDOS. As the largest open-sourced, independent entity in AI research and development, this alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). For additional information on ASI, visit: superintelligence.io

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]]> Iridia Partners with Arweave, ASI Alliance and LifeShip to Launch Humanity’s First Molecular Data Archive and Digital Asset Infrastructure to the Moon https://superintelligence.io/iridia-partners-with-arweave-asi-alliance-and-lifeship-to-launch-humanitys-first-molecular-data-archive-and-digital-asset-infrastructure-to-the-moon/ Wed, 15 Jan 2025 23:31:15 +0000 http://localhost:10053/?p=6440 The post Iridia Partners with Arweave, ASI Alliance and LifeShip to Launch Humanity’s First Molecular Data Archive and Digital Asset Infrastructure to the Moon appeared first on ASI | Artificial Superintelligence Alliance.

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]]> Artificial Superintelligence Alliance Proposes Addition of Cloud Compute Infrastructure Provider CUDOS https://superintelligence.io/artificial-superintelligence-alliance-proposes-addition-of-cloud-compute-infrastructure-provider-cudos/ Wed, 11 Sep 2024 09:00:18 +0000 https://staging.superintelligence.io/?p=6264 The post Artificial Superintelligence Alliance Proposes Addition of Cloud Compute Infrastructure Provider CUDOS appeared first on ASI | Artificial Superintelligence Alliance.

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September 11, 2024 – The Artificial Superintelligence Alliance, a collective recently formed by SingularityNET, Fetch.ai, and Ocean Protocol, today announced the inclusion of CUDOS, a leader in distributed AI computing, as the newest member of the Alliance, subject to community vote. As part of this integration, the CUDOS token (CUDOS) would be merged into the Artificial Superintelligence Alliance token (FET), unifying the networks under a single ecosystem. This development is pending approval by both communities with voting scheduled to commence on September 19, 2024 and closes on September 24, 2024. 

Earlier this year, Fetch.ai and SingularityNET announced a combined investment of $153 million in GPU hardware, establishing a crucial foundation for the Alliance’s mission by supplying the computational power needed for large-scale AI and machine learning applications. By integrating CUDOS’ global distributed computing network, the Alliance gains access to thousands of the latest AI GPUs, including the latest Nvidia Blackwell GB200’s, significantly boosting its computing power for decentralized AI innovations. This integration enhances scalable computing across the Alliance, decentralizing the infrastructure to increase efficiency and reduce bottlenecks, security vulnerabilities and other risks.

CUDOS’s cloud model offers significant advantages over traditional centralized approaches, such as enhanced scalability, cost-efficiency and flexibility. With CUDOS, premium AI infrastructure like NVIDIA H100 GPUs can be accessed at approximately 50% of the cost of Amazon AWS, effectively amplifying the impact of Fetch.ai and SingularityNET’s $153 million hardware investment. By leveraging a global network of independently operated suppliers, CUDOS ensures resilient, scalable solutions that are not reliant on a single provider. This collaboration has strong potential to accelerate product development across the Alliance and boost the utility of the unified Artificial Superintelligence Alliance token (FET) as the Alliance advances toward Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).

“The Artificial Superintelligence Alliance is the largest AI blockchain alliance, and CUDOS is the most advanced real-world and blockchain computer network; together we have an unprecedented opportunity to build the largest vertically integrated decentralized AI technology stack,” said Matt Hawkins, founder of CUDOS. “This partnership is not just about combining our resources; it’s about creating a seamless ecosystem where AI and blockchain technology can thrive together, pushing the boundaries of what decentralized AI can achieve. By leveraging CUDOS’ powerful computing network within the ASI framework, we’re setting the stage for groundbreaking advancements in AI that will redefine the future of technology and pave the way for decentralized AGI and ASI.”

“Integrating CUDOS into the Artificial Superintelligence Alliance represents a significant leap forward in our mission to commercialize AI,” said Humayun Sheikh, CEO of Fetch.ai and chairman of the Artificial Superintelligence Alliance. “This collaboration, pending community approval, will unlock unprecedented computing power and innovation potential, enabling us to build robust revenue models and capitalize on the equipment we’ve developed. By joining forces, we are taking a crucial step towards the Alliance’s mission of achieving Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI), offering a viable alternative to centralized solutions and bringing us closer to realizing the full potential of a truly autonomous and profitable global ecosystem.”

“Our aims with ASI Alliance are not especially modest,” notes Ben Goertzel, CEO of SingularityNET and the Artificial Superintelligence Alliance.  “Alongside and synergizing with our immediate commercial goals, our medium-term roadmap is oriented toward rolling out the next landmark advance in the AI field – AGI systems with general intelligence at the human level, and then onward toward actual ASI systems, superintelligences.   Pulling these historical achievements off in an efficient and beneficial way will require a number of correlated aspects, including cognitive architectures, AI algorithms, ethically sourced data and decentralized software and hardware infrastructure.  The integration of CUDOS into the Alliance will move us forward dramatically in the area of computing hardware infrastructure, one of the critical ingredients we need to fulfill our mission.”

The conversion ratios between $CUDOS and $FET (ASI) tokens are set at: 

    • Conversion Ratio: CUDOS 112.427:1 FET – $CUDOS tokens migrate to $FET, at this conversion rate.
    • Token Merge Fee: 5%
    • Token Merger Rate: CUDOS 118.344:1 FET calculated as a 5% adjusted rate  (112.427 / 95%) ->  if a user has 119 CUDOS this would be converted into ~1 FET
    • Average Price: 30 Day Window
    • Vesting (public): 3 Months
    • Vesting (treasury): 10 Months
  • Supply Increase: 88,946,755.672 FET (i.e. 10,000,000,000 / 112.427)

Disclaimer: As a non-founding member of the Alliance, CUDOS have agreed that all token merge transactions be vested between 3-10 months, and include a 5% transaction fee. This fee is provided to the ASI Alliance for marketing, research and development, integration and legal fees, as well as any other costs associated with the token merger. This fee is pre-calculated within the conversion ratio.

The price of each token was fixed before the announcement of the merger to avoid the valuation being impacted by sudden post-announcement market activity.

The integration of CUDOS into the ASI Alliance enhances computing power and advanced AI tools, fostering greater collaboration among developers, researchers, and enthusiasts. This token merger strengthens the Alliance’s mission to become the largest open-source, independent entity in AI research and development, accelerating the advancement of decentralized AGI and ASI.

By decentralizing AI development and deployment, the integration empowers members to operate independently of centralized entities. This shift promotes innovation and supports a more democratic and inclusive technological landscape. The Alliance is building a future where AI’s benefits are universally accessible and invites the broader community to join in shaping this inclusive vision.

The token merge is contingent on majority approval from both the CUDOS and Alliance communities. If approved, a subsequent governance proposal will be initiated on the CUDOS platform to begin the token merge process and incentivize CUDOS token holders to convert their holdings to the Artificial Superintelligence Alliance (FET) token. The CUDOS Blockchain will continue to operate until further notice, allowing ample time for all participants to transition and swap their tokens.

For more information on the upcoming vote and the future of the Artificial Superintelligence Alliance, please visit www.superintelligence.io.

About The Artificial Superintelligence Alliance

The Artificial Super Intelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET (SNET) and Ocean Protocol. As the largest open-sourced, independent entity in decentralized AI research and development, this alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). For additional information on ASI, visit: superintelligence.io

About CUDOS

CUDOS is a leading Decentralised Physical Infrastructure Network (DePIN) for AI compute, providing advanced computational solutions for a range of applications. Specializing in AI-driven projects and large-scale data analysis, CUDOS leverages decentralized technology to deliver powerful, scalable, and cost-efficient compute resources. Our network empowers developers, enterprises, and researchers to push the boundaries of innovation, harnessing the full potential of AI and big data. Through our commitment to transparency, efficiency, and sustainability, CUDOS is at the forefront of the Web3 revolution, transforming the landscape of computational technology.

About SingularityNET

SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence (AGI). According to Dr. Goertzel, AGI should be independent of any central entity, open to anyone and not restricted to the narrow goals of a single corporation or a single country. The SNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. The core platform and the SNET AI teams are complemented by specialized teams devoted to various application areas such as robotics, biomedical AI, finance, media, arts and entertainment. For additional information visit: singularitynet.io.

About Fetch.ai

Fetch.ai, a Cambridge-based AI company, is redefining the possibilities of an intelligent and connected world through its AI agent-based technology. Fetch.ai’s infrastructure technology enables developers and businesses to build, deploy & monetize through an agent-based modular platform for the new generation of AI applications. The company’s core product, DeltaV, fuses Language Models (LLMs) and AI Agents to create an open and dynamic marketplace that connects users to services and reimagines the current search experience. For additional information visit: fetch.ai

About Ocean Protocol

Ocean was founded to level the playing field for AI and data. Ocean tools enable businesses and individuals to trade tokenized data assets seamlessly to manage data all along the AI model life cycle. Ocean-powered apps include enterprise-grade data exchanges, data science competitions and data DAOs. The Ocean Predictoor product has over $800M in monthly volume six months after launch with a roadmap to scale foundation models globally. For additional information visit: oceanprotocol.com

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]]> What is the Artificial Superintelligence Alliance (ASI)? https://superintelligence.io/what-is-the-artificial-superintelligence-alliance-asi/ Thu, 08 Aug 2024 23:39:19 +0000 http://localhost:10053/?p=6458 The post What is the Artificial Superintelligence Alliance (ASI)? appeared first on ASI | Artificial Superintelligence Alliance.

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]]> Artificial Superintelligence Alliance Unveil Token with Migration dApp Tools Now Live https://superintelligence.io/artificial-superintelligence-alliance-unveil-token-with-migration-dapp-tools-now-live/ Mon, 01 Jul 2024 06:59:48 +0000 https://staging.superintelligence.io/?p=6260 The post Artificial Superintelligence Alliance Unveil Token with Migration dApp Tools Now Live appeared first on ASI | Artificial Superintelligence Alliance.

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Zug and Singapore –  July 1, 2024 –The Artificial Superintelligence Alliance, comprising SingularityNET, Fetch.ai, and Ocean Protocol, has today announced the launch of the multi-coin merger, forming the unified token. This merger of AGIX, OCEAN, and FET tokens marks a significant step towards creating a fully decentralized AI ecosystem. By aligning incentives, the Artificial Superintelligence Alliance drives the vision of a decentralized, efficient, and transparent AI landscape, polling resources and expertise from its members to accelerate advancements in the ethical and transparent development of AI solutions. 

Today, SingularityNET’s $AGIX and Ocean Protocol’s $OCEAN tokens merge into $FET. FET trading remains uninterrupted as the project rebrands to Artificial Superintelligence Alliance across platforms including CoinMarketCap and CoinGecko. The migration platform is now open on the SingularityDAO dapp, and $AGIX and $OCEAN are starting to delist from exchanges. This phase aims to onboard exchanges and data aggregators for a smooth transition.

Phase II will focus on community onboarding and $ASI deployment, prioritizing self-custody holders and deploying ASI tokens across multiple chains. The transition includes new migration contracts for $AGIX and $OCEAN tokens not yet converted to $FET and for EVM-based FET. All FET Mainnet Tokens will automatically convert to ASI during Fetch.ai’s mainnet upgrade. The migration contracts will be open for years, allowing ample time for all conversions. Detailed guides and tutorials are being provided to support a smooth transition. The timing of this phase is still underway, ensuring all necessary preparations are completed.

“Today’s token merger underscores our commitment to advancing safe artificial intelligence,” said Humayun Sheikh, chairman of the Artificial Superintelligence Alliance and CEO of Fetch.ai. “By merging our tokens, we aim to enhance operational efficiency and seamlessly integrate decentralized AI systems, ensuring broad access to cutting-edge AI technologies. This merger marks the beginning of an ambitious journey to foster unparalleled collaboration and openness, setting new standards for the industry.”

“We’re excited to have reached this milestone along the path to realizing our vision of an Artificial Superintelligence Alliance capable of winning the AGI and ASI race for the decentralized ecosystem,” stated Ben Goertzel, CEO of the Artificial Superintelligence Alliance and SingularityNet. “This tokenomic merger paves the way for a series of R&D and product collaborations combining Alliance technologies toward beneficial superintelligence.”

“We’re grateful to the community, exchanges and other partners for accommodating this token merge. We’re really looking forward to focusing on our users and products that increase adoption.” said Bruce Pon, Council Board Director of Artificial Superintelligence Alliance and founder of Ocean Protocol.

This milestone reflects the alliance’s commitment to accelerating AI research and development by combining Fetch.ai’s autonomous agent technology, Ocean Protocol’s data exchange frameworks, and SingularityNET’s decentralized AI services. The three technology partners will develop products leveraging each project’s diverse solutions to ensure ethical AI development. This open collaboration invites others to join the alliance, fostering an inclusive environment that promotes cutting-edge advancements while emphasizing responsible and transparent AI practices.

LINK TO ASI MIGRATION GUIDELINES

About The Artificial Superintelligence Alliance
The Artificial Super Intelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET (SNET), and Ocean Protocol. As the largest open-sourced, independent entity in AI research and development, this alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). For additional information on ASI, visit: superintelligence.io

About SingularityNET
SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence (AGI). According to Dr. Goertzel, AGI should be independent of any central entity, open to anyone and not restricted to the narrow goals of a single corporation or a single country. The SNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. The core platform and the SNET AI teams are complemented by specialized teams devoted to various application areas such as robotics, biomedical AI, finance, media, arts and entertainment. For additional information visit: singularitynet.io

About Fetch.ai
Fetch.ai, a Cambridge-based AI company, is redefining the possibilities of an intelligent and connected world through its AI agent-based technology. Fetch.ai’s infrastructure technology enables developers and businesses to build, deploy & monetize through an agent-based modular platform for the new generation of AI applications. The company’s core product, DeltaV, fuses Language Models (LLMs) and AI Agents to create an open and dynamic marketplace that connects users to services and reimagines the current search experience. For additional information visit: fetch.ai

About Ocean Protocol
Ocean was founded to level the playing field for AI and data. Ocean tools enable businesses and individuals to trade tokenized data assets seamlessly to manage data all along the AI model life cycle. Ocean-powered apps include enterprise-grade data exchanges, data science competitions and data DAOs. The Ocean Predictoor product has over $800M in monthly volume six months after launch with a roadmap to scale foundation models globally. For additional information visit: oceanprotocol.com

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