Today, with the launch of Phoenix‘s Indonesia community, the country's biggest crypto media has given us a welcome introduction on home page. With 28M crypto users in 2025, we are working with local partners to rapidly grow our reach in Indonesia within the next 1-2 months. Phoenix's Regional Initiative will cover over 10+ specific regional communities in 2025. #PhoenixAI $PHB
Introducing Phoenix AI Growth Points – a transformative rewards system set to maximize the social value of agentic generative AI and rapidly accelerate growth and utility of PhoenixONE and Phoenix AI Ecosystem. Read more in post below:
PhoenixONE is taking value creation of AI-driven knowledge and intelligence one step further – by introducing conversation and deep research sharing. After researching into a topic via Phoenix Deep Research or Phoenix Crypto Research and continuing deep diving into the context using the “Ask More” functionality, the user effectively creates a rich full conversation regarding a specific topic.
Now they are able to share conversations with friends, community, and social media to demonstrate data-backed points, for learning and knowledge, or to make a statement or argument. See examples below:
Comparative & competitive analysis of Hyperliquid vs top CEXs: https://t.co/aKLgMfOf1d
In-depth analysis of creating a market regime model for a trading strategy: https://t.co/HNoW5HAuJO
And it gets even better – social sharing is an important component of our upcoming Phoenix AI Growth Points system, an engagement and loyalty points system for users. More details about the Phoenix AI Growth Points system is to be unveiled this week – but in simple terms it’s a loyalty and rewards points system focused on value-creation, content-creation, and user engagement, and is designed for community, social interaction, and overall growth to be taken to next level. Stay tuned.
The launch of PhoenixONE marks for Phoenix a new era of creating unprecedented value via agentic intelligence for Web 3 – tackling problems with novel technical solutions in high value-add tasks from research to specialized knowledge acquisition to investment & trading.
Below is our updated 2025 roadmap for Phoenix native agentic applications. From even more enhanced deep research agents to automated AI trading execution on Hyperliquid and Binance, we got ourselves a big year ahead.
Phoenix is glad to announce a partnership with @Footprint_Data, the leading blockchain data analytics platform that covers on-chain, cross-chain, whale tracking, money flow, DEXs, and dApp user data and insights.
This partnership will create a game-changing integration between PhoenixONE and Footprint Analytics’ data ecosystem and its MCP platform OmniMCP, enabling Phoenix Crypto Research to access proprietary data to provide our users laser focused research and analyses like never before.
AI-powered crypto research is about to get much smarter.
Any latest in-depth crypto topics you need to research? Just ask Phoenix Crypto Research agent in PhoenixONE and you shall receive a detailed, structured and real-time analysis. Multi-language support is now available (Our various regional communities have been asking for this!).
Big week ahead as Phoenix Crypto Research, the first AI deep research agent for the Web 3 industry will be launching in the next few days. Phoenix Crypto Research enables real-time and in-depth research on crypto market analysis, price trends, project fundamentals, macro environment, technology, and more. Information is retrieved in real-time from exchanges, analysts, news, social media, on-chain and other proprietary sources for comprehensive analysis of research.
We have partnered with 20+ communities covering over 200,000 users within the next month to test drive and gain exposure for Phoenix Crypto Research. It will be launching on Phoenix ONE, our AI intelligence & research portal, which also includes Phoenix Deep Research (generic), AlphaNet Research Assistant (Quick Query), and Deepseek R1 (671B) and Qwen 2.5.
On 100+ test crypto-related research prompts, Phoenix Crypto Research outperformed mainstream AI platforms Perplexity AI’s Deep Research and Grok’s DeepSearch on majority of benchmarks related to relevancy and data-level insights. See a comparison of research examples at the link below:
Phoenix Deep Research Agent is now online, with whitelist open for first wave of users. Phoenix DR provides highly in-depth, intelligent, and blazingly fast real-time research across multiple topics including but not limited to investment, markets, science, academics, AI, software, health, and more.
Built on Deepseek R1, and running on our decentralized high-performance cluster consisting of Huawei and Nvidia GPU nodes, Phoenix DR has an average response time of only 1-2 minutes, 2-3x faster than the industry standard, with the likes of OpenAI and Perplexity AI.
The first wave of whitelist prioritizes Phoenix community members, partners, SkyNet users (including node operators), and KOLs. Sign up for the whitelist here:
https://t.co/Rqyy2P9k5S
Whitelist registration will be approved 1-2 days post-submission, and after approval users will be able to use Phoenix DR immediately.
"Origin Quantum is already being compared to DeepSeek, the Chinese artificial intelligence (AI) startup that erased $1 trillion from the U.S. stock market with the launch of its low-cost, super-efficient AI model in late January."
Our strategic partnership with Origin Quantum will take great leaps to democratize quantum computing, provide quicker application development, and catalyze the proliferation of quantum #AI applications. $PHB #QuantumAI
Strategic partnership with China’s leading quantum computing company Origin Quantum, democratizing quantum compute, and start testing and deployment of quantum AI/ML applications.
https://t.co/QgzF4pD7Wy
72 qubits for now, but 100+ qubits coming soon this year. More details to follow shortly.
Deepseek R1 and Alibaba’s Qwen 2.5 have now been deployed on Phoenix and are ready for inference via PhoenixLLM.
More importantly they are running on our new Huawei Ascend High Performance Cluster on Phoenix SkyNet, which initially consists of 200+ nodes sourced from various partners such as China Telecom Global and Tensor (https://t.co/iNeAL2D5JY). These nodes house a combination of the latest Huawei Ascend 910C & 910B GPUs – of which 910C delivers 60% performance vs an Nvidia H100 for inference, and similar or better performance than Nvidia A100.
We are in the process of porting various AI applications and models from Phoenix GenAI, AlphaNet, and open source AI over to support the Huawei Ascend architecture for both inference and training. This is only the beginning for Phoenix’s AI & compute DePIN expansion to provide and integrate powerful alternatives to mainstream computing paradigm.