According to a June 4 statement shared with Cryptoslate, the decentralized AI company of AI, a decentralized AI company, has introduced Dobby Plus.
This new model challenges unique AI systems from major high-tech companies such as Openai and humanity.
Dobby Plus
According to Centient, Dobby Plus is built on a decentralized AI framework shaped by input from over 2 million users.
Rather than relying on corporate commands, chatbots evolve through ongoing community contributions, improving their character, tone and decision-making to reflect shared values. This approach shifts the narrative from its own control to collective ownership.
Dobby’s design highlights a balanced blend of de facto precision and emotional intelligence. Sensory attributes belong to this unique “data overload” training method, enhancing technical abilities (such as mathematics and coding) with soft skills such as empathy and conversational nuances.
The company said this approach will improve the tone and user engagement of the model while maintaining performance and accuracy.
Pentient has revealed that its model now outperforms Claude, GPT-4O, and Deepseek R1 in personality, engagement, and creativity categories.
Additionally, Dobby’s open source framework allows for independent audits of risks such as memory manipulation and rapid injection.
These are key features of the project as the AI community is increasingly concerned about safety.
Decentralized Ownership
Meanwhile, the launch of Dobby Plus attracted over 660,000 users following the February release of the 70B model.
Each user received an encrypted fingerprint copy of the model and established a new method of open ownership that extends beyond open source access.
The sense sees this as a practical example of how to monetize a community-driven model fairly and transparently.
Himanshu Tyagi, co-founder of Centient, said:
“We believe that the AI model doesn’t just line up pockets of people who own GPU clusters. We’re building AI systems shaped by users and sharing it with worthy people.”
With a proactive approach, the sensible plan to develop protocols for comprehensive management of AI systems allows users to become stakeholders with voting rights and profit sharing benefits.
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