Exploring Decentralized Science (DeSci) with Aethir

The combination of AI innovation and blockchain technology is ushering in a new era of AI-powered solutions across various industries, from entertainment and gaming to software development, finance, and science. Decentralized science (DeSci) is the latest buzzword in the Web3 sector, signifying the evolution of science powered by blockchain technology and AI. Decentralization, speed, democratization, and efficiency are some of the key terms associated with DeSci, showcasing the potential of this new scientific era to circumvent many limitations related to traditional science (TradSci). Common blockers and bottlenecks such as the lack of funding, nontransparent peer review mechanisms, slow research progress, and scientific bias are among the critical issues DeSci aims to solve with the power of AI and blockchain. 

Aethir’s position as an enterprise-grade GPU-as-a-service platform for AI and gaming clients makes our 390,000+ GPU cloud computing infrastructure a valuable ally of decentralized science. Advanced AI-powered apps and platforms require tremendous amounts of GPU computing. Aethir’s DePIN stack can support the next iteration of scientific breakthroughs with premium cloud computing services needed to propel humankind toward a more efficient and productive era of scientific discovery and evolution. Our decentralized GPU cloud computing network can support DeSci platforms pioneering blockchain in science through DAO scientific funding, AI-powered research, decentralized data sharing, and blockchain peer reviews at scale.

How Blockchain is Redefining Science Through DeSci

DeSci carries a tremendous transformative potential for various aspects of modern science, including scientific research, neuroscience, scientific publishing, funding, collaboration, data classification, and more. 

Let’s examine some key areas where decentralization and the use of blockchain in science can lead to significant improvements and breakthroughs.

Unlocking Open Access: Decentralized Data Sharing in Science

In TradSci, research data is spread across a multitude of closed, centralized databases only accessible to individuals with appropriate institutional credentials, which limits how data is accessed and used. The DeSci proposition is to shift toward decentralized data repositories on immutable ledgers, and blockchains that transparently record data. By shifting databases from closed systems to blockchains, decentralized science is creating an environment where scientists can freely access, use, and independently verify data, thus eliminating centralized, nontransparent gatekeepers and democratizing access to research data. One of the ways how decentralized science is transforming research is by pioneering decentralized platforms for open-access research data and blockchain peer reviews.

How DAOs Are Solving Science’s “Valley of Death” Funding Gap

The “Valley of Death” problem refers to the common gap between a proposed scientific innovation, such as a new medical treatment or drug, and its actual market launch due to a lack of funding and other obstacles. In such situations, valuable time is wasted, and endangered patients are often left without the proper treatment that might save their lives. Instead of relying on private companies, VCs, or government institutions for funding through slow decision-making mechanisms, DeSci proposes using decentralized autonomous organizations (DAOs) to automate scientific funding and channel funds where they are most needed. By using DAOs to fund scientific breakthroughs, DeSci can effectively circumvent common funding issues using blockchain in science. 

Democratizing Scientific Publishing

Scientific publishing is based on meticulous peer review procedures. However, the current state of science is dominated by concentrated control over research funding, publishing, and distribution. It can be difficult for independent researchers without significant funding or institutional backing to publish their research in relevant scientific journals. DeSci democratizes scientific publishing with transparent, decentralized peer-review mechanics to ensure all scientific pieces get fair peer reviews unburdened by conflicts of interest and bias. In a decentralized blockchain environment, qualified individuals from around the world can become reviewers who critique and validate research in a transparent Web3 setting.

Interdisciplinary Collaboration

Decentralized science pioneers a collaborative scientific approach that encourages researchers from different scientific disciplines to collaborate through decentralized frameworks powered by blockchain technology and AI solutions. Decentralized collaboration can accelerate innovation using secure, transparent, and widely accessible DeSci platforms based on decentralized data sharing, AI-powered research, and blockchain peer reviews. The role of blockchain in scientific collaboration is to increase research efficiency and empower scientists with new ways of conducting research in a decentralized manner. DeSci platforms can speed up scientific progress in key areas such as medicine, neuroscience, biotechnology, and cognitive therapy. The goal is to transform the globally atomized scientific community into a massive, decentralized ecosystem of collaborators who can easily connect on world-changing projects.

The Intersection of DeSci and AI Agents: Real-World Use Cases

Leveraging AI solutions and combining them with blockchain technology will reap significant benefits for decentralized science. Furthermore, incorporating AI agents will propel scientific research and accomplishments to new heights by maximizing efficiency, speed, research potential, and discovery with the power of AI. The use of AI agents for science and AI-powered research is a key area in which Aethir’s decentralized GPU cloud computing infrastructure can support the adoption of blockchain in science.

Let’s look at some key areas where AI agents can supercharge the adoption of blockchain in science through DeSci platforms and solutions focused on AI-powered research.

Accelerating Scientific Discovery with AI Agents

AI agents can take on complex workloads involving billions of data parameters, enabling them to conduct meticulous research by leveraging vast databases, far surpassing the speed and efficiency of humans. Scientists can utilize AI agents as virtual assistants that can significantly accelerate scientific discovery by performing, directing, and improving upon nearly all tasks that human scientists do through AI-powered research. Decentralized science can use autonomous agents to generate hypotheses and conduct experiments. Furthermore, AI agents can analyze results, iterate on findings without human intervention, and uncover hidden patterns in analyzed data sets. AI-powered research and the use of AI agents for science can dramatically accelerate scientific discovery in key areas, such as medical procedures and treatments for all sorts of medical conditions, finally contributing to extended human longevity and improved life quality. 

AI Agents Will Supercharge Biological Advancements

Advancements in biological progress, tools, and techniques can be drastically improved with the help of autonomous agents working alongside human scientists to enhance the overall quality of people’s lives worldwide. In the field of biology, AI agents can rapidly develop new measurement tools and experimental techniques. As virtual biologists, they can design innovative methods to observe and manipulate biological systems at molecular and cellular levels. For example, AI agents could create advanced imaging technologies or molecular probes that provide unprecedented insights into cellular processes. AI-accelerated biology and medicine may compress 50-100 years of progress into just 5-10 years, resulting from AI agents systematically tackling complex biological challenges. 

Unlocking Breakthroughs in Neuroscience with the Power of AI

Evolution wired human brains to perform like supercomputers. They are primed for advanced calculations to make sense of the world through a process known as Bayesian inference. AI inference, on the other hand, uses billions of data sets, machine learning, and natural language processing to train AI models to perform specific tasks. Thanks to advanced AI training capabilities, AI agents may unlock massive breakthroughs in neuroscience, enabling scientists to unlock the secrets of human brains. AI agents might help us vastly improve treatments for, or even cure, most mental illnesses by advancing molecular biology, neural measurement, computational neuroscience, and behavioral interventions.

Why Aethir’s Decentralized GPU Cloud is Critical for DeSci and AI Development

The importance of GPU compute as a key resource has rapidly increased thanks to the exponential growth of the AI sector. DeSci’s use of AI solutions for accelerating scientific discoveries, such as AI agents for automating complex scientific processes and enhancing research, evidently shows how important GPU computing power is for the decentralized science era. To achieve historical scientific breakthroughs and introduce the scientific advancements of tomorrow, decentralized science needs access to reliable, secure, and scalable GPU computing power.

Aethir’s experience in supporting advanced AI workloads such as large language model (LLM) training, AI agent training, machine learning, generative AI, and other GPU-intensive AI tasks positions the Aethir DePIN stack as a sound choice for AI-powered decentralized science projects. Similarly to DeSci, Aethir’s decentralized GPU cloud computing network also leverages blockchain technology and decentralization as core pillars, with 91,000+ community-owned Checker Nodes responsible for maintaining the optimal quality of service of all GPU Containers in Aethir’s network. All compute power in Aethir’s decentralized GPU cloud computing network is settled on-chain, with ATH tokens, and is fully transparent with public visibility through Aethir’s GPU dashboard. 

DeSci and AI agents are a combination that has yet to reach its full potential. Judging by the current state of both sectors, they are still in their infancy, with tremendous opportunities for growth and innovation. Aethir will continue to support these sectors with our decentralized GPU cloud computing services all the way, fostering a fruitful environment for epic scientific innovations with GPU computing for blockchain and AI-powered science.