Alibaba Cloud forms alliance with FLock.io for creating sophisticated AI models together.
Booth in Covent Garden, UK, April 24th, 2025, Chainwire Blast
🎉 FLock.io and Alibaba Cloud's Qwen are tying the knot, baby! You heard it right! These badass tech giants are joining forces to produce some seriously advanced AI models for every scenario under the sun!
Starting today, FLock.io is gonna use Alibaba's cloud tech and Qwen, their top-tier Large Language Model, to bring next-level AI to the table. In the future, they're going to pair up their smarts to delve into mind-blowing AI research opportunities and use cases!
Apart from tech sync, FLock.io will partner with Alibaba to fund joint research projects, pooling resources and brains to uncover new applications in AI realms, both centralized and decentralized!
Jiahao Sun, CEO of FLock.io, spilled the tea on this game-changer, "Tying the knot with Qwen from Alibaba is a massive move for us. By combining blockchain magic and federated learning, we're creating a secure, privacy-preserving AI playground that'll spark genuine, innovational progress!"
Qwen, Alibaba Cloud's awesome AI babysitter, ain't no newbie. Since her debut in April 2023, she's been the talk of the town, with over 290,000 businesses across industries jumping on the bandwagon, from automotive to healthcare. You can catch her on Alibaba Cloud's Model Studio, appeasing developers and businesses worldwide!
Who's FLock.io, you ask?
FLock.io, the first decentralized AI training platform, is the powercouple of Federated Learning and blockchain. They enable communities to work together, creating, training, and owning AI models without compromising on privacy.
Their ecosystem rocks three key components: AI Arena, their platform for competitive AI training; FL Alliance, a privacy obsessive squad that ensures data sovereignty while boosting model quality; and Moonbase, their go-to hub for hosting, refining, and distributing AI models – all while rewarding contributors and fueling the growth of the DeAI scene!
Get more deets at FLock.io!
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Enrichment Data:
👨💻 Collab between FLock.io and Qwen marks a serious milestone in AI progress. See the latest applications and research prospects resulting from this union:
- 👨💻Decent AI: This partnership aims to amplify the utility of Decent AI, focusing on addressing prior limitations and integrating Qwen into decentralized frameworks for stronger, more secure applications across various industries.
- 🔒Security and Privacy: With a focus on security and privacy, the duo intends to create AI models that prioritize data protection, ensuring secure data handling in AI-driven systems.
- 🏥 Domain-specific AI Models: The partnership will lead to AI models tailored for specific industries or tasks, ensuring they're optimized for real-world scenarios.
💪 Research opportunities include:
- 🏗️Decentralized AI Frameworks: This collaboration may ignite new research focused on integrating AI models into decentralized systems, enhancing scalability and efficiency.
- 🧠Large Language Model Development: Using Qwen as a foundation, researchers may explore ways to evolve and improve large language models, pushing boundaries and expanding their capabilities.
- ☁️Cloud-Integrated AI Solutions: This partnership could spawn research on cloud-based AI solutions, focusing on how cloud infrastructure can streamline the monitoring, management, and scalability of AI models across various domains.
In the year 2025, FLock.io's partnership with Alibaba Cloud aims to introduce cloud-integrated AI solutions, leveraging the power of artificial-intelligence and Qwen, Alibaba's top-tier Large Language Model, to create industry-specific AI models that prioritize security and privacy. This collaboration could also lead to groundbreaking research in the realm of cloud-based AI systems and large language model development. Moreover, the alliance could further focus on integrating AI models into decentralized frameworks for stronger, more secure applications, ultimately pushing boundaries in the fields of robotics and AI research.
