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The Artificial Superintelligence Alliance (ASI) is a coalition of three leading decentralized AI projects: Fetch.ai, Ocean Protocol, and SingularityNET. The alliance was formed to accelerate the development of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). The ASI Alliance is focused on creating a more open, transparent, and inclusive AI ecosystem. By pooling their resources and expertise, the three projects aim to foster innovation, collaboration, and ethical AI development. The alliance uses the $FET token as its primary currency. This token is used to incentivize participation in the ASI ecosystem, including data sharing, model training, and computation. The ASI Alliance is still in its early stages, but it has already made significant progress. The alliance has launched several initiatives, including: * The ASI Foundation, a non-profit organization dedicated to promoting the development of safe and beneficial AI. * The ASI Research Lab, a research lab focused on developing cutting-edge AI technologies. * The ASI Developer Network, a network of developers building applications on the ASI platform. The ASI Alliance is a promising project with the potential to revolutionize the field of AI. By fostering collaboration and innovation, the alliance can help to ensure that AI is developed in a way that benefits all of humanity. Here are some of the key benefits of the ASI Alliance: * Increased innovation: By bringing together the best minds in AI, the alliance can accelerate the development of new AI technologies. * Greater transparency: The alliance is committed to transparency and open-source development. This will help to ensure that AI is developed in a way that is beneficial to society. * Ethical AI: The alliance is committed to developing AI in an ethical and responsible manner. This will help to ensure that AI is used for good, not evil.

The Artificial Superintelligence (ASI) Alliance, a collaborative organization focused on advancing decentralized artificial intelligence development, has launched Cortex, a decentralized AI model designed to address industry challenges. Cortex marks the first model launched under the “ASI: Train initiative,” which is focused on creating domain-specific AI solutions for industries like robotics, biotechnology and healthcare. Unlike general-purpose AI models, Cortex is designed for precision, scalability and adaptability to meet the specific needs of various industries. It focuses on tasks requiring advanced, context-aware problem-solving. Humayun Sheikh, CEO of Fetch.ai and chairman of the ASI Alliance, told Cointelegraph that this development could reduce the reliance on centralized AI solutions, allowing entities to “train, own and build solutions with decentralized AI-trained models.” Related: SingularityNET, ASI alliance launch self-learning proto-AGI in Minecraft Addressing industry-specific needs Cortex is designed to provide an alternative to current general-purpose AI models, offering high relevance in manufacturing, autonomous delivery and data-driven research. Sheikh told Cointelegraph that the robotics industry is a “very interesting area at the moment,” adding that the alliance has “several partners who are willing and able to use the Cortex model for inferences.” “Bio-technology, healthcare, gig economy and research. All these areas require data coming from various research organizations which could, in a combined way, result in step changes in discovery and utilization.” Related: AI will save us all, but only if it’s decentralized — SingularityNET CEO Decentralized approach to AI ownership Cortex will use a decentralized framework to encourage collaboration across various industries and organizations, employing governance-based models to provide an alternative to centralized AI solutions. The decentralized structure it offers aims to distribute the benefits of AI development more equitably to ensure concentrations of power for AI development do not accumulate and restrict free innovation for developers. By addressing the limitations of centralized AI systems, this first launch of the ASI: Train initiative could offer specific industries a more inclusive option for collaborative AI development tailored to their specific needs. Related: Fetch.ai, Imperial College partner to launch AI lab Self-learning proto-AGI on Minecraft The ASI Alliance recently launched the first self-learning proto-AGI within Minecraft in coalition with SingulatirtyNET, a decentralized AI network. The new proto-AGI, dubbed Autonomous Intelligent Reinforcement Inferred Symbolism (AIRIS), could boost the development potential for artificial general intelligence (AGI). Deploying the new AI technology in Minecraft allows the coalition to witness the capabilities of the proto-AGI as it learns and adapts autonomously, broadening the potential for AI in robotics, automation and smart systems designed to solve real-time problems. $ASI

The Artificial Superintelligence (ASI) Alliance, a collaborative organization focused on advancing decentralized artificial intelligence development, has launched Cortex, a decentralized AI model designed to address industry challenges. Cortex marks the first model launched under the “ASI: Train initiative,” which is focused on creating domain-specific AI solutions for industries like robotics, biotechnology and healthcare. Unlike general-purpose AI models, Cortex is designed for precision, scalability and adaptability to meet the specific needs of various industries. It focuses on tasks requiring advanced, context-aware problem-solving. Humayun Sheikh, CEO of Fetch.ai and chairman of the ASI Alliance, told Cointelegraph that this development could reduce the reliance on centralized AI solutions, allowing entities to “train, own and build solutions with decentralized AI-trained models.” Related: SingularityNET, ASI alliance launch self-learning proto-AGI in Minecraft Addressing industry-specific needs Cortex is designed to provide an alternative to current general-purpose AI models, offering high relevance in manufacturing, autonomous delivery and data-driven research. Sheikh told Cointelegraph that the robotics industry is a “very interesting area at the moment,” adding that the alliance has “several partners who are willing and able to use the Cortex model for inferences.” “Bio-technology, healthcare, gig economy and research. All these areas require data coming from various research organizations which could, in a combined way, result in step changes in discovery and utilization.” Related: AI will save us all, but only if it’s decentralized — SingularityNET CEO Decentralized approach to AI ownership Cortex will use a decentralized framework to encourage collaboration across various industries and organizations, employing governance-based models to provide an alternative to centralized AI solutions. The decentralized structure it offers aims to distribute the benefits of AI development more equitably to ensure concentrations of power for AI development do not accumulate and restrict free innovation for developers. By addressing the limitations of centralized AI systems, this first launch of the ASI: Train initiative could offer specific industries a more inclusive option for collaborative AI development tailored to their specific needs. Related: Fetch.ai, Imperial College partner to launch AI lab Self-learning proto-AGI on Minecraft The ASI Alliance recently launched the first self-learning proto-AGI within Minecraft in coalition with SingulatirtyNET, a decentralized AI network. The new proto-AGI, dubbed Autonomous Intelligent Reinforcement Inferred Symbolism (AIRIS), could boost the development potential for artificial general intelligence (AGI). Deploying the new AI technology in Minecraft allows the coalition to witness the capabilities of the proto-AGI as it learns and adapts autonomously, broadening the potential for AI in robotics, automation and smart systems designed to solve real-time problems. $ASI

How DeSci Will Affect the Traditional Science Funding Model: A Deep Dive Decentralized Science (DeSci) is poised to reshape the traditional science funding model by introducing a decentralized, transparent, and more equitable approach to financing research. Traditional science funding has long been plagued by inefficiencies, gatekeeping, and biases, which have hindered innovation and accessibility. DeSci, leveraging blockchain technology, offers a radical shift that addresses these challenges while democratizing access to resources. This article delves into how DeSci is transforming the way scientific research is funded, highlighting the opportunities and challenges along the way. The Current State of Science Funding The traditional science funding model heavily relies on: Government Grants: Public institutions like the NIH, NSF, and ERC allocate substantial funding for research projects, often through a competitive and bureaucratic process. Private Sector Investments: Corporations and private entities fund research aligned with their commercial interests, which can bias outcomes. Philanthropic Contributions: Nonprofits and charitable organizations support specific causes but often lack scalability. Academic Institutions: Universities fund internal research, but resources are limited and frequently tied to tenure or institutional priorities. Key Issues in Traditional Funding: Bureaucratic Delays: Lengthy application processes discourage researchers and delay critical projects. Centralized Decision-Making: A small group of reviewers determines funding allocation, often leading to favoritism or bias. Lack of Transparency: Funding decisions and resource allocation are rarely transparent, fostering mistrust among researchers. Underfunding of Innovative Research: Risky, unconventional, or interdisciplinary projects struggle to secure funding due to their perceived unpredictability. How DeSci Transforms Science Funding DeSci disrupts the traditional funding model through blockchain-powered tools and decentralized governance. Here’s how: 1. Tokenized Crowdfunding How It Works: Researchers can tokenize their projects, creating crypto assets that represent a stake in the research. These tokens are sold to individuals or organizations that believe in the project’s potential. Impact: Democratizes access to funding, allowing anyone to invest in and support scientific endeavors. Bypasses traditional gatekeepers like grant committees and institutional boards. Creates an active community of stakeholders who are incentivized to see the research succeed. 2. Decentralized Autonomous Organizations (DAOs) How It Works: DAOs enable community-governed funding platforms where members vote on research projects to receive funding. Impact: Enhances transparency and accountability in decision-making. Empowers diverse voices, reducing bias and ensuring funding aligns with collective priorities. Supports underrepresented researchers and unconventional ideas through community-driven initiatives. 3. Smart Contracts for Conditional Funding How It Works: Blockchain-based smart contracts automate funding disbursement based on predefined milestones or outcomes. Impact: Ensures funds are allocated efficiently and tied to performance. Reduces misuse of resources by enforcing accountability. Encourages focused and goal-driven research. 4. NFTs for Intellectual Property (IP) Monetization How It Works: Researchers can tokenize their IP into NFTs, selling fractional ownership to investors or licensing rights to industry stakeholders. Impact: Provides an additional revenue stream for researchers. Encourages commercialization of innovations while maintaining IP control. Attracts investors who seek returns through royalties or licensing fees. 5. Global Access to Resources How It Works: Blockchain networks operate globally, allowing researchers from underfunded regions to access international funding sources. Impact: Bridges the funding gap between developing and developed nations. Promotes global collaboration and knowledge sharing. Levels the playing field for researchers regardless of geography or institutional affiliation. Case Studies: DeSci in Action Molecule What It Does: A DeSci platform enabling researchers to tokenize and crowdfund biomedical research through DAOs. Impact: It connects researchers with patient advocacy groups, investors, and individuals passionate about funding rare disease research. VitaDAO What It Does: A decentralized collective funding longevity research, where members vote on projects and collectively own resulting IP. Impact: Democratizes access to longevity science and accelerates breakthroughs in aging research. LabDAO What It Does: A decentralized network facilitating access to lab resources and expertise for researchers worldwide. Impact: Reduces reliance on traditional institutional funding and promotes collaboration across borders. Benefits of DeSci Funding Models Inclusivity: Opens funding opportunities to researchers from all backgrounds and disciplines. Efficiency: Reduces bureaucratic overhead and accelerates the funding process. Transparency: Blockchain ensures traceability of funds and decision-making processes. Accountability: Smart contracts tie funding to milestones, ensuring resources are used effectively. Innovation: Encourages high-risk, high-reward projects that traditional models often overlook. Challenges and Considerations Regulatory Hurdles: Compliance with securities laws and tax regulations for tokenized funding remains a gray area. Public Awareness: Educating researchers and investors about DeSci tools and benefits is critical for adoption. Scalability: Ensuring that decentralized platforms can handle large-scale research initiatives is an ongoing challenge. Security Risks: Protecting platforms from hacking and ensuring the integrity of tokenized assets are essential. Ethical Concerns: Balancing community-driven funding with ethical oversight is vital to prevent misuse. (@Lucidious) DeSci is revolutionizing the traditional science funding model by introducing transparency, equity, and efficiency. By leveraging blockchain technology, researchers gain access to global funding, bypass bureaucratic hurdles, and retain greater control over their IP. However, challenges such as regulatory compliance and public awareness must be addressed to unlock DeSci’s full potential. As DeSci projects mature and gain traction, they promise to democratize science funding, fostering a new era of innovation and collaboration in research.

These tokens incentivize participation, democratize funding, and facilitate the tokenization of intellectual property. But as the DeSci ecosystem matures, the question arises: what will these tokens be worth in 2025? Factors Influencing DeSci Token Valuation The future value of DeSci tokens will depend on several interrelated factors: 1. Adoption of DeSci Platforms The utility of DeSci tokens is closely tied to the adoption of decentralized platforms by researchers, institutions, and investors. Increased Adoption: If major universities, private labs, and funding agencies begin integrating DeSci platforms, demand for tokens will rise. Public Awareness: Growing awareness of DeSci’s benefits, such as transparent funding and equitable research access, could drive adoption among retail investors and scientists. For example, widespread use of DeSci platforms for peer review or crowdfunding could significantly boost token utility, translating into higher valuations. 2. Utility and Use Cases DeSci tokens must provide real utility to sustain long-term value. Tokenized Funding: Tokens used to fund research projects directly will gain intrinsic value from their role in the ecosystem. Intellectual Property (IP) Rights: Tokens that represent fractional ownership of patents, discoveries, or datasets will attract institutional interest. Incentivization: Researchers rewarded in tokens for contributions (e.g., data sharing or peer review) will create a steady demand for the tokens. Successful implementation of these use cases will set certain tokens apart, making them more valuable. 3. Market Sentiment and Investor Interest The valuation of DeSci tokens will also depend on investor confidence and broader market trends. Bullish Sentiment: As blockchain projects with real-world applications gain traction, investor sentiment could turn bullish on DeSci. Speculative Interest: Like other tokens, speculative trading will play a role in short-term price movements. High-profile partnerships or major breakthroughs in DeSci applications could trigger price rallies, even in the short term. 4. Regulatory Environment Regulatory clarity will play a crucial role in determining the trajectory of DeSci tokens. Favorable Regulations: Governments that support blockchain-based innovation in science could encourage institutional investments in DeSci. Challenges: On the flip side, unclear or restrictive regulations could hinder adoption, impacting token valuations negatively. Countries embracing open science principles, such as the European Union, may lead the way in fostering a regulatory environment conducive to DeSci growth. 5. Competing Technologies DeSci tokens must compete with traditional funding and data-sharing mechanisms, as well as other blockchain projects. Integration with AI and IoT: Tokens that integrate with emerging technologies like AI or IoT to enhance scientific research will have an edge. Competitive Differentiation: Projects with unique use cases and strong communities will likely outperform generic or redundant tokens. Promising DeSci Tokens to Watch Some of the top DeSci tokens already gaining attention in 2024 could play a dominant role by 2025. LabDAO ( $LAB ): Focused on providing decentralized tools for scientific research, its token value could grow as more labs adopt its platform. VitaDAO ($VITA): With a focus on longevity research, $VITA is likely to benefit from the increasing interest in health sciences. SCINET: A token driving open-access publishing and research funding, positioned for long-term growth. The performance of these tokens will depend on how well they address specific pain points in the scientific ecosystem. Predictions for 2025 While exact price predictions are speculative, we can make informed projections based on the above factors: High Adoption Scenario If DeSci platforms achieve widespread adoption, DeSci tokens could see exponential growth in market capitalization. Tokens with strong utility and governance models could experience price increases of 300%-500% from their current levels. Moderate Growth Scenario In a more conservative scenario, where adoption is steady but not explosive, tokens could grow by 50%-150%, driven by gradual integration with scientific institutions. Low Adoption Scenario If adoption stagnates due to regulatory issues or competition, token valuations may only see marginal growth, ranging from 10%-30%, or even decline. Challenges to Consider The path to success is not without obstacles: Volatility: Like other crypto assets, DeSci tokens may experience high volatility, influenced by market speculation. Skepticism: Scientists unfamiliar with blockchain may resist adoption, slowing down the ecosystem's growth. Technology Hurdles: Ensuring seamless integration with existing scientific workflows remains a challenge. Long-Term Outlook By 2025, DeSci tokens will likely represent a significant niche within the broader blockchain space, with the potential to disrupt traditional funding and research models. Their valuation will reflect their role in democratizing science and enabling innovation. (@Lucidious) While short-term fluctuations are inevitable, the long-term trajectory of DeSci tokens depends on their ability to solve real-world problems in the scientific community. For investors and researchers alike, the future of DeSci offers a compelling blend of financial opportunity and transformative impact. $RIF $RIFSOL