Originally published on: November 29, 2024
In a recent release of the Manifesto for Decentralized AI by artificial intelligence researchers from the Dfinity Foundation and executives at Onicai, the focus is on putting power back into the hands of users. The manifesto emphasizes seven key points to ensure that AI is beneficial for individuals, promoting the concept of self-sovereign AI that prioritizes user control over institutions.
In a conversation with Cointelegraph, Patrick Friedrich, the CEO of Onicai, highlighted the risks associated with centralized AI, pointing out the potential for misuse by large entities to manipulate and control populations. Friedrich suggested a solution to combat this through decentralized AI running on permissionless networks using smart contracts. By employing immutable, open-source systems, users can customize their AI parameters, choose storage methods, and take charge of the entire software stack governing their AI.
Arjaan Buijk, CTO at Onicai, stressed the importance of shifting focus towards niche and customized AI models rather than generic ones. Buijk believes that this approach fosters innovation and allows for unique implementations that could drive growth potential in the AI sector. To address this need, The Artificial Superintelligence Alliance launched Cortex decentralized AI, enabling businesses to tailor AI models to suit their specific requirements.
In a bid to support alternative funding avenues for AI projects, Michael Casey, co-founder of the Decentralized AI Society, is advocating for options beyond traditional venture capital funding. This move aims to diversify resources and empower a wider range of AI initiatives to flourish.
Looking ahead, Anthropic CEO Dario Amodei predicts that human-level AI could become a reality as early as 2026 or 2027, far earlier than previously anticipated by AI experts. This accelerated timeline hints at the rapid evolution and potential breakthroughs in the field of artificial intelligence.
The exploration of decentralized AI promises to revolutionize the landscape, offering users greater autonomy and control over AI systems. With a focus on self-sovereignty, the future of AI looks promising, driven by innovation and decentralized principles.