OORT Launches Deimos II to Democratize AI and Tackle the Black Box Problem

OORT, a trailblazing company focused on decentralized artificial intelligence, recently caused a stir with their latest launch. They unveiled “Deimos II,” a pioneering technology that powers on-device large language model (LLM) interference. This new development allows users to run small AI models locally, eliminating the need to send data to the cloud. OORT confronts the…

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OORT Launches Deimos II to Democratize AI and Tackle the Black Box Problem

OORT, a trailblazing company focused on decentralized artificial intelligence, recently caused a stir with their latest launch. They unveiled “Deimos II,” a pioneering technology that powers on-device large language model (LLM) interference. This new development allows users to run small AI models locally, eliminating the need to send data to the cloud. OORT confronts the AI “black box” problem directly, integrating community expertise and wisdom throughout the process. This initiative seeks to transform how AI functions and is accessible globally.

Founded and led by Dr. Max Li, OORT has developed a decentralized cloud infrastructure that incentivizes community participation, enabling data handling that transcends geographical limitations. Through its incredible development, the enterprise has impressively constructed a Web3 AI ecosystem unparalleled. This cutting-edge platform allows users to donate computational resources and it increases the transparency of AI’s inner workings. To help demystify the opaque “black box” of AI, OORT has developed “Deimos II.” They hope to build an open “glass box” that encourages a more democratic development of artificial intelligence.

The Need for Decentralization in AI

OORT’s initiative is a response to increasing concern about the risk of centralized AI systems that are opaque and not publicly accessible. Further, most enterprises, particularly for smaller firms, find it difficult to obtain the data they need to effectively train AI/ML models. Dr. Li emphasizes that “when we talk about AI’s development, it’s always three key pillars: data, algorithms (models), and computing power.” He adds that data is today the most difficult element for many businesses to acquire.

Dr. Li joins us to explain how businesses are challenged today. “The growing scarcity of ethical, high-quality data poses a dilemma for businesses of all sizes, from giants like Google and Microsoft to smaller companies struggling to access training datasets,” he states. Unlike smaller companies, big corporations have the technical and financial means to tap into data from aggregated sources. Conversely, smaller employers have been left with few and prohibitively expensive choices.

OORT aims to address these challenges by powering community-sourced datasets through its decentralized platform. The company’s last effort, “Deimos I”, performed outstandingly. It broke records with more than 51,000 devices across 22 countries, demonstrating the exciting global demand to collaboratively share data for the greater good.

The Role of Deimos II in AI Development

Deimos II double as personal edge nodes, letting users run AI applications directly on their devices. This new development greatly increases privacy protections. It reduces latency by analyzing data on-site rather than relying on remote cloud-based analytics. OORT also addresses a significant limitation of conventional AI models. It lessens the likelihood of costly data breaches and enables individuals to have more control over the personal information they choose to share with others.

Dr. Li notes that developing the latest AI models typically requires access to costly hardware. This DC requirement can be a crushing barrier for far too many orgs. He believes that “while the chip war focused on producing the most powerful hardware, the data war hinges on acquiring the right datasets to train AI.” One of OORT’s distinct and unique approaches to democratizing access to data and computational resources creates a true level playing field for innovative businesses of all shapes and sizes.

Dr. Li acknowledges the challenges ahead: “OORT’s solution may take a few years to break up the monopoly of tech titans.” In spite of everything, he remains hopeful about the future of AI. He claims that OORT is committed to bringing artificial intelligence that is free and independent from the constraints of centralized authorities.

Building a Community-Driven Ecosystem

OORT’s decentralized cloud model invites users around the globe to contribute organic data and earn incentives in return for participation. This creative way forward has opened doors and encouraged partnership. That’s because it gives you the tools to proactively drive your company’s AI development and usage.

“The blockchain allows everyone to contribute organic data from anywhere in the world while receiving incentives,” Dr. Li states. This aspect is especially beneficial for smaller enterprises that have often been at a major disadvantage when it comes to accessing high-quality datasets. Through mobilizing community support, OORT is committed to making their process as inclusive as possible. In this space, data-sharing becomes a collaborative effort as opposed to a competitive race.

As OORT continues to expand its initiatives and technologies, it remains steadfast in its mission to ensure that artificial intelligence evolves into a fully democratic entity. By leveraging community resources and promoting greater transparency, OORT aims to redefine what is possible in the realm of AI.

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