FLock.io 2023 Annual Review: A Year of Innovation and Collaboration
2023 has been a transformative year for FLock, marked by significant product launches, engaging community events, and impactful collaborations. Here’s a look back at our journey this year and a glimpse into what lies ahead.
😃Consumer Product Releases & Campaigns
FLock Researcher
We launched FLock Researcher, a multi-agent, domain-specific LLM platform that revolutionises how researchers interact with information, powered by our advanced Federated Learning technology. Version 2.0 brought wallet integration, enhancing its functionality. Accompanying this was the engaging FLock Guess-Off Campaign.
BTC GPT
Our BTC GPT campaign, a standout project, demonstrated the power of community co-creation in developing an expert chatbot specifically for the Bitcoin ecosystem.Together with B² Network, we launched the first-ever BTC GPT co-creation event in the entire Web3 space, in collaboration with 26 partners including BRC20 Daily, Taskon, Web3Go, and others.
💻Developer Tools, Workshops, and Hackathons
FLock TestNet
The launch of FLock TestNet marked a pivotal moment, providing developers with a sandbox to test and deploy their applications securely and efficiently.
Client and SDK
Our Client and SDK were released, offering robust tools for developers to integrate FLock’s technology seamlessly into their projects.
Workshops
Our global workshops in cities like Beijing, Shanghai, London, Shenzhen, and Singapore fostered a vibrant community of developers and enthusiasts.
Hackathons
The London FLock AIxWeb3 Tool Bounty Hackathon was a highlight, where innovators came together to push the boundaries of blockchain and AI.
🛄Collaborations and Research
Our collaborations with various sectors have been fruitful:
HealthCare:Partnerships with institutions like Beijing Tsinghua Changgeng Hospital and University College London Hospitals focused on developing decentralised health tracking and alert systems, coupled with algorithms that enhance performance while prioritising data protection.
IPFS & FileCoin: Our collaboration aimed at leveraging decentralised storage solutions and is pivotal in enhancing data security and accessibility,
Request Network: We developed ID SBTs linked to real-world IDs. This initiative integrates a hybrid (off-/on-chain) credit scoring system driven by machine learning, representing a significant advancement in secure and efficient credit assessment.
🏅Hackathon Achievements and Public Chain Grants
We are honoured to have received numerous Awards and Recognitions from prestigious organisations and communities:
- METASTONE: 2nd Prize of BuildForMiracle competition during ETH Singapore 2023
- Ethereum Singapore Hackathon: Wins in both the Defi and Infrastructure categories.
- The Lee Kuan Yew Global Business Plan Competition: YIT Haina Innovation Prize recipient.
- Gnosis Sponsored DAATA and AI Hackathon: Secured the 2nd Prize in the Best Mech Tool category.
- Elite Accelerator SpringX: One of the First Batch Winners.
- Inaugural Taiko Community Grant Program: Proud to be one of the grant recipients, showcasing our commitment to the blockchain community.
💡Looking Ahead: The 2024 Roadmap
Please stay tuned for our new product launches and partnerships in the upcoming year:
Partnerships with Web 3 protocols: Co-creating more specialised AI agents for communities to discover projects and engage with protocols more easily.
AI Co-Creation platform: Slated for launch, this platform enables no-code customisation of LLMs and text-to-image models. Multiple parties can cooperate in creating new agents in an asynchronous manner. We will roll out the features in phases:
2023 has been a year of growth, learning, and community engagement at FLock. As we move into 2024, we’re excited to continue our journey, driving innovation at the intersection of AI and blockchain. Stay engaged, stay inspired, and stay with us as we step into an exciting future.
About FLock.io
FLock.io is a decentralized and permissionless platform for co-owned AI models and Dapps. By harnessing the synergies of Federated Learning and blockchain technologies, we address the growing demands of models and potential data breach threats, guaranteeing secure model training without revealing underlying source data, and fair rewards to data contribution and community collaboration.
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