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🚀 Sentient Releases White Paper On AI Entrepreneurship Era

According to BlockBeats, on September 14, the open-source AI platform Sentient released a white paper titled 'OML: Opening the Era of AI Entrepreneurship.' The white paper discusses the current paradigms of AI model deployment, which include open and closed models. Open models foster community-driven innovation and resist the trend of centralized AI companies controlling the world. In contrast, closed models, accessed through APIs, allow these centralized AI companies to profit directly through monetization and usage control.

Sentient introduces a new paradigm where models can be open, monetizable, and loyal (OML). This new approach to AI model deployment opens up new possibilities for open-source AI development and AI entrepreneurship. The white paper summarizes research on different methods of OML and provides detailed information on OML1.0. This version incentivizes users to report and pay for the use of publicly distributed models through data pollution attacks and collateral methods.


#AI #Entrepreneurship #OpenSource #Sentient #WhitePaper #Innovation #ModelDeployment #CommunityDriven #CentralizedAI #OML #DataPollution #OpenModels #ClosedModels
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🚀 OpenTensor Foundation Co-Founder Highlights DeepSeek's Impact on Centralized AI

According to Odaily, Ala Shaabana, co-founder of the OpenTensor Foundation, highlighted that the release of DeepSeek was achieved at a fraction of the cost required for leading models, reinforcing the position of open-source AI as a significant challenge to centralized projects. Shaabana noted that DeepSeek questions the centralized AI model, which involves development and training costs running into tens of billions of dollars. He stated, "DeepSeek has established a truly high-performance model in a more open and collaborative manner. It demonstrates that factors like efficiency, collective intelligence, and innovation can indeed rival sheer financial power."

Shaabana attributed the rapid advancement of open-source AI and the narrowing gap with centralized systems to a procedural shift in academia, which now requires researchers to include their code in papers submitted for journal publication. He further mentioned that increased regulation of centralized systems, including potential geographic data restrictions due to geopolitical tensions, could impose additional burdens on centralized AI projects. The regulatory costs and burdens resulting from strengthened oversight are expected to widen the gap between centralized and open-source systems, as open-source systems are less susceptible to these constraints.


#OpenTensor #DeepSeek #CentralizedAI #OpenSourceAI #Innovation #CollectiveIntelligence #Regulation #AIModels #CostEfficiency #AcademicResearch
🚀 Tether CEO Discusses Future of AI in Financial Systems

According to PANews, Tether CEO Paolo Ardoino recently shared insights on the X platform regarding the role of centralized artificial intelligence companies. Ardoino noted that these companies currently act as an 'Artificial Intelligence Treasury.' However, he emphasized that AI will not remain confined within closed systems for long.

#Tether #CEO #AI #FinancialSystems #ArtificialIntelligence #CentralizedAI #AITreasury
🚀 Tether CEO Advocates for Open AI Development

Tether CEO Paolo Ardoino has expressed his views on the development of artificial intelligence, stating that AI should be as open as freedom. According to Odaily, Ardoino criticized the centralized approach to AI development, describing it as a 'dead end.' In contrast to the closed AI systems being developed by major tech companies, Tether is exploring alternative methods through QVAC, which focuses on running AI models on local devices. This approach aims to give users control over their data and computing power, aligning with the crypto industry's core principle of self-custody, where users maintain autonomy over their data and computational resources.

#Tether #CEO #AIdevelopment #openAI #freedom #centralizedAI #selfcustody #crypto #localdevices #dataprivacy