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Pluralis Research has raised $7.6 million in funding to develop decentralized AI models that can compete with industry giants like OpenAI. The funding round was led by CoinFund and Union Square Ventures, with participation from several other notable investors. This initiative aims to leverage blockchain technology to democratize access to AI capabilities, allowing smaller companies to innovate in the AI space.
The founder, Alexander Long, emphasizes the potential of decentralized networks to train AI algorithms without the need for massive computing resources. By focusing on training portions of models rather than entire ones, Pluralis aims to overcome the limitations faced by smaller firms in the AI arms race. Investors are optimistic about this approach, believing it could significantly alter the landscape of AI development.
• Pluralis aims to democratize AI development using decentralized models.
• Investors are betting on Pluralis's innovative approach to AI training.
Decentralized AI refers to AI systems that operate across distributed networks rather than centralized servers.
Blockchain is a decentralized technology that can support distributed computing for AI applications.
AI algorithms are computational methods used to process data and make predictions or decisions.
Pluralis is focused on developing decentralized AI models to challenge larger tech companies.
CoinFund is a venture capital firm that invests in blockchain and AI technologies, supporting Pluralis's funding round.
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