WELCOME TO THE CCAI ERA
A new generation of Al leaders
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What is CCAI
We gather a global community with a strong belief in CITADEL AI, aiming to provide guidance, support, and management for enterprises in blockchain technology and emerging technologies.
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Our mission
Drive innovation in the financial industry through technology, ensuring equal financial opportunities for everyone by empowering individuals with cutting-edge solutions.
CCAl-SUPER Model
Powered by the GPT-o1-preview power engine CCAl-SUPER
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Exceptional Reasoning and Analysis
CCAI excels in multi-step reasoning tasks, analyzing financial data like news and trends to help users develop accurate investment strategies.
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Efficient Data Processing
CCAI processes unstructured data, analyzing text and images for market signals, improving investment decisions with superior recognition capabilities in TextVQA (82.3%) and VQA v2 (77.8%).
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Mathematics and Code Generation
CCAI excels in math tasks, helping users build financial models and automate trading strategies, leveraging strong performance in GSM8K (94.4%) and MATH (53.2%), and HumanEval(74.4%).
Optimize the highest performance standards
CCAI is designed to meet the highest performance benchmarks by leveraging cutting-edge AI models and blockchain integration.
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850%
Execution efficiency -
500%
Accuracy -
76%
Scalability
Explores the future of AI assistants.
Building on our CCAl-SUPER(evolution by ) models, we’ve developed AI agents that can quickly process multimodal information, reason about the context you’re in, and respond to questions at a conversational pace, making interactions feel much more natural.
Responsibility
We want AI to benefit the world, Must be thoughtful about how it’s built and used.
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Build AI responsibly to benefit humanity
We live in an exciting time when AI research and technology are delivering extraordinary advances.
In the coming years, AI — and ultimately artificial general intelligence (AGI) — has the potential to drive one of the greatest transformations in history.
We’re a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly.
By solving some of the hardest scientific and engineering challenges of our time, we’re working to create breakthrough technologies that could advance science, transform work, serve diverse communities — and improve billions of people’s lives.
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Why we’re developing AI
We believe that AI, including its core methods such as machine learning (ML), is a foundational and transformational technology. AI enables innovative new uses of tools, products, and services, and it is used by billions of people every day, as well as businesses, governments, and other organizations. AI can assist, complement, empower, and inspire people in almost every field, from everyday tasks to bold and imaginative endeavors. It can unlock new scientific discoveries and opportunities, and help tackle humanity’s greatest challenges—today and in the future.
As many have highlighted, we believe that AI has the potential to benefit people and society through its capacity to:
- • Make information more useful and available to more people, everywhere, often helping overcome barriers including access, disabilities and language
- • Assist people and organizations to make decisions, solve problems, be more productive and creative in their daily and work lives
- • Enable innovation that leads to new, helpful products and services for people, organizations, and society more broadly
- • Help tackle current and pressing real world challenges, such as public health crises, natural disasters, climate change, and sustainability
- • Help identify, and mitigate societal biases and structural inequities (e.g. socio-economic, socio-demographic and regional inequities)
- • Enable scientific and other breakthroughs to address humanity’s greatest future opportunities and challenges (e.g. medical diagnosis, drug discovery, climate forecasting)
The foundational nature of AI means that AI will also power and transform existing infrastructure, tools, software, hardware, and devices—including products and services not normally thought of as AI. Examples in our case that are already being transformed by AI include AISWAP, CCAI Robot ,CCAI CHAIN,CCAI Wallet,UNIPay. It will significantly enhance their usefulness and multiply their value to people. It will also lead to new categories of assistive tools, products, and services, often with breakthrough capabilities and performance made possible only through AI. This includes more powerful and inclusive language translators, conversational AI and assistants, generative and multi-modal AI, robotics and driverless cars. And this is just the beginning.
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Why a collective approach to Responsible AI is needed
We believe that getting AI right requires a collective effort. We don’t have all the answers, but our experience so far suggests that everyone involved in AI (researchers, developers, deployers, academics, civil society, governments, and users, including individuals, businesses, and other organizations) must work together to get AI right including in the following areas:
- • Responsible approaches to AI development and deployment of AI systems
- • Data and privacy practices that protect privacy and enable benefits for people and society (e.g. sharing traffic and public safety data)
- • Robust AI infrastructure and cybersecurity to mitigate security risks
- • Regulations that encourage innovation and safe and beneficial uses of AI and avoid misapplications, misuse, or harmful uses of AI
- • Cross-community collaboration to develop standards and best practices
- • Sharing and learning together with leaders in government and civil society
- • Practical accountability mechanisms to build trust in areas of societal concern
- • Investment in AI safety, ethics, and sociotechnical research
- • Growing a larger and more diverse community of AI practitioners to fully reflect the diversity of the world and to better address its challenges and opportunities
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AI applications we will not pursue
In addition to the above objectives, we will not design or deploy AI in the following application areas:
- 1. Technologies that cause or are likely to cause overall harm. Where there is a material risk of harm, we will proceed only where we believe that the benefits substantially outweigh the risks, and will incorporate appropriate safety constraints.
- 2. Weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people.
- 3. Technologies that gather or use information for surveillance violating internationally accepted norms.
- 4. Technologies whose purpose contravenes widely accepted principles of international law and human rights.
As our experience in this space deepens, this list may evolve.