Every week, @ SurfeCopilot Pro trial codes have arrived. Each trial code allows you to experience Pro membership for 3 days. Take it if you need it. Registration link: https://asksurf.ai/?r=4B9B0DEC2DDB PRO_TRIAL_BH3HR6YJEJX6 PRO_TRIAL_1G9JX717PVJJ PRO_TRIAL_VXHGBWF3I0K0 PRO_TRIAL_88QPWZ13RBWG PRO_TRIAL_EDX7XQXB8DKC The most powerful AI features still belong to Surf and @ SentientAGI. Surf is an AI co pilot platform focused on cryptocurrency trading and research, providing traders with real-time actionable insights by integrating on chain data, technical analysis, and social emotions. Sentient has built a decentralized and open AGI economic system, using blockchain incentive mechanisms to make AI models community-based, monetizable, and loyal to users. Surf excels in short-term trading efficiency and DeFi optimization, while Sentient has a vision advantage in long-term AGI development and decentralized innovation. I compared their functions: 1) AI Models and Training Methods Surf uses encrypted native AI specifically trained for blockchain and Web3 data, emphasizing the avoidance of the "illusion" problem of generic LLM. By deeply integrating social data, DeFi task performance is twice as high as general models. The system achieves plain language interaction through natural language processing and supports over 30 use cases, ranging from short-term price decoding to in-depth protocol analysis. The architecture adopts stateless query processing, but maintains context in the session to support iterative workflow. The core of Sentient is the Dobby LLM series, which is fine tuned based on Llama 3.1/3.3 (including Dobby 70B, Dobby Mini 8B), emphasizing the balance between "soft skills" (tone alignment, intent matching) and "hard skills". During the fine-tuning process, the medium OML framework embeds encrypted "fingerprints" into the model as proof of ownership, ensuring that the model remains auditable and community controlled. Dobby Factory pipeline automation training post-processing improves development efficiency. The technology stack supports hybrid on chain/off chain computing, with The GRID serving as the coordination layer for agent model data interaction. 2) Comparison of Interaction Modes Surf adopts a minimalist dialogue dashboard design, with the core interface being http://asksurf.ai/chat The single chat window allows users to complete all operations through natural language input. The workflow is a one-stop process of Query → Insight → Action, where all functions are activated through the prompt word selector (Ask Quick/Search Depth). The Ask mode returns concise answers within seconds, while the Research mode generates structured reports containing Markdown tables, embedded charts, and data source links. Community feedback emphasizes the simplicity of its' single dashboard ', effectively reducing the burden of switching from multiple tools such as Twitter+Dune+Etherscan. Sentient Chat provides a fresh and clutter free design, showcasing AI workflows through a transparent proxy decision view. The producthunt interface emphasizes openness, with no paywall for core access, and supports contextual memory and "Spaces" functionality. Users interact through natural language, and queries are routed to the optimal agent/model combination to obtain rich responses. When ETH Denver was released, it attracted 1.8 million users, demonstrating strong viral transmission capabilities. 3) Mobile and desktop support Surf is optimized for desktop, and there was a slight delay issue in early evaluations for mobile devices. Charts and complex research reports are more suitable for desktop environments. The platform provides support for three languages (English, Chinese, and Korean), with the Korean market accounting for 30% of Beta query volume. Sentient Chat can be used smoothly on both mobile and desktop platforms, emphasizing the convenience of cross platform access as a decentralized assistant. The community remains highly active through Discord and Telegram, supporting feedback loops to continuously improve the model. 4) Core user group 5) Summary of Competitive Positioning Surf and Sentient represent complementary paths of AI encryption fusion. Surf addresses the immediate pain points of cryptocurrency traders and DeFi users through institutional level research tools and seamless on chain execution, demonstrating outstanding performance in terms of practical utility and decision speed. Its native specialization in encryption, noise filtering capabilities, and research execution loop make it an ideal tool for daily trading and investment analysis. Sentient aims to build an open AGI economy with a broader vision, using blockchain incentives to democratize and monetize AI. Its decentralized architecture, community governance model, and developer ecosystem provide the infrastructure for long-term sustainable AI development. Although it may not be as efficient as Surf in short-term trading, it has breakthrough potential in AGI innovation, ethical alignment, and ecosystem transformation.