The article discusses the concentration of power in the hands of a few big tech companies in the field of artificial intelligence (AI) and the potential risks associated with this centralization. It highlights the lack of competition and innovation, privacy and security concerns, and the lack of transparency that arise when a few companies control most of the AI resources.

To address these issues, the article proposes decentralized AI as an alternative. Decentralized AI aims to distribute control and resources across multiple players by using blockchain technology. This would democratize AI and make it more accessible to smaller companies, researchers, and individuals, leading to increased competition and faster progress.

The benefits of decentralized AI include more transparency, fairness, and privacy in AI development and usage. It also creates a more robust system that is less susceptible to failures or cyber attacks. The article mentions Qubic as a company pioneering decentralized AI by creating a system where people worldwide can contribute resources to run and train AI models.

The author suggests that if decentralization takes hold, the future of AI could become more equal and transparent. It can lead to more competition, better data privacy, and more innovation in the industry. The article concludes by stating that decentralized AI is not just a theory but a real solution that can change the way AI is developed and used.



Other News from Today