Space reviewed B.AI official online: How can the financial infrastructure of the AI Age accelerate the arrival of AGI
In recent days, B.AI (Chinese brand name: white B.AI) has come on line and is dedicated to building a bottom-up financial infrastructure for the AI Age. The past two years have seen breakthroughs in large-scale modelling techniques, but as applications go further, the problems of AI Agent ' s lack of independent payment systems, probabilities and closed-ring implementation capacity have become more prominent, resulting in its continued high reliance on manual operations in a real business landscape. B.AI was introduced to fill this systemic gap by giving AI Agent a sound economic performance to push it from a passive information interactive node to a new economic entity that is autonomously involved in the flow of global values, thus building a solid business base and operating foundation for the full AGI era。
How will the B.AI go online to reshape the future business map at the critical node of moving from an “intellectual” to a “competence of implementation” in this industry? In the recent past, a number of senior industry practitioners have gathered to launch an in-depth Space Round Table dialogue. The guests had a good collision around the central issue of "B.AI How to Speed AGI Up." The following is an excellent review of the current Space content。
FROM “THINKING” TO “DOING”: HOW CAN FINANCIAL INFRASTRUCTURE BECOME THE KEY TO AI
The “intellectual” level of the large model has reached an impressive level after two years of raging progress. However, when the industry tried to push AI Agent into the real business environment, it found that the road to land was not an easy one. In the discussion of “the central theme of real decisions on the long-term development of the AI industry”, there was a high degree of convergence among the guests:The focus of industry attention has shifted from the “intellectual” to the “implementation capacity” contest. The key to complementing this reality is to build an exclusive bottom-up financial infrastructure for AI Agent。
Wang Feng Anc and the teacher of the child point out that the current competition for AI has passed the stage of mere simulation of model parameters and intelligence. As the modelling capabilities of the major manufacturers gradually converge, the real ceiling lies in the ability of AI Agent to access the real world and complete closed loop implementation。
Wang Feng Anc stressed that the ability of intelligent bodies to think and answer questions does not mean that they can do things independently. In a complete task stream (e.g. booking of airline tickets, chain transactions), AI Agent lacks stable wallet privileges, solvency, authentication and cross-tool collaboration at the executive level. Children also think that the model only solves the problem of IQ, but.. AI Agent, if he is to be involved in real business value creation, he must have his own identity, a reliable credit relationship and the ability to pay settlementI don't know. Without a set of financial and economic infrastructure, AI Agent cannot be a real economic participant。
Grace confirmed the pain caused by the lack of infrastructure, starting with practical applications in the field of trade. She said that the current large model, which was already excellent in generating strategies and carrying out introspective surveys, was difficult to operate independently in a real financial and complex market environment over the long term and in a stable manner, as it required a strong discipline, control and risk management mechanism. SoThe competitive focus of the next phase of the industry will shift from purely modelled intelligence to AIAgent implementation and infrastructure development。
AND AMONG THE MANY CONSENSUSES, TEACHERS OF THE GREAT APATHY PROVIDE A MORE UNIQUE AND DIFFUSE PERSPECTIVE. AS AN PRACTITIONER, GREAT APATHY HAS INDICATED THAT IT IS THE INFORMATION LEVEL OF THE INDUSTRY ITSELF THAT LIMITS THE SPEED AT WHICH AI IS GOING TO LAND IN VARIOUS INDUSTRIES. THE MORE SOFTWARE- AND INFORMATION-INTENSIVE THE INDUSTRY, THE MORE EASILY ITS WORK PROCESSES ARE SUMMARIZED AS BEING STANDARDIZED, AND THE FASTER IT IS REPLACED AND RESHAPED BY AI. AT THE SAME TIME, HE WOULD LIKE TO REMIND YOU THAT THE CURRENT INTELLIGENCE SYSTEM (E.G., L2/L3) OPERATES MORE IN COMPLIANCE WITH HUMAN ORDERS AND DOES NOT YET HAVE A REAL “INDEPENDENT THINKING” CAPABILITY, WHICH IS A LEVEL OF SECURITY. IN THE FACE OF AN IRREVERSIBLE WAVE OF AI, HE CALLED FOR PEOPLE TO LEARN, EMBRACE CHANGE AND ACTIVELY TRY NEW INFRASTRUCTURE LIKE B.AI THAT CAN SOLVE REAL PROBLEMS。
B.AI Official access: building the financial base for AI Agent to operate the economy
It was with such industry consensus and urgent needs that B.AI announced it on the line. Its core positioning is very clear, not to participate in the “intellectual” inner volume of the larger model, but to build a critical infrastructure that directly hits the pain of the “financial implementation capacity”. The core of B.AI seeks to address the economic empowerment of AI Agent at the bottom, including seamless access to the top global model, payment settlement, independent identity and trust mechanisms, and support for AI Agent to independently complete complex asset transactions and cross-subject business collaboration。
On the path to achievement, OxPink further dismantles the three core capabilities that underpin the infrastructure:
1 LLM SERVICE PLATFORM: Developer does not have to overburden multiple models and manage multiple bills. B.AI has supported more than 15 top-of-the-art global models, including GPT-5, Gemini, Claude, Mini-Max, Kimi, which can achieve “one account management, multi-model capacity, as needed”, significantly reducing development thresholds and costs。
2, x 402 payment agreements and complete financial operating systemsIn the old scenes, the traditional AI, even if it analyses excellent market opportunities, will eventually require manual human billing and payment. To break this bottleneck, the B.AI innovation introduced payment agreements based on HTTP 402 standards x 402 and, combined with the MCP Server and Skills core components, directly empowered AI Agent to automate the payment of encrypted assets and perform complex DeFi operations. This bottom-up structure not only makes the AI Agent perfectly fit for a small, real-time settlement of transactions, but also achieves a full chain from autonomous decision-making, automatic payment to the implementation of the revenue strategy, and truly runs through the business logic closed between intelligent bodies。
3. Chain identity and credit systemsB.AI has created a unique identity card and credit score for AI Agent, recording its trading history, default and objective evaluation. It's like the AI world's intel system, where creditworthy AI Agent can get more employment opportunities, which leads to the mutual hiring and trading of intelligence, and eventually to an AI Agent economic circle。
On top of the solid base infrastructure, B.AI also launched the open-box AI Agent application - BAIClaw。As a bridge between the technology base and users, BAIclaw supports the seamless multi-model switch and multi-intelligence (Multi-Agent) to work together and to access daily collaboration tools such as Telegram and Discord in depth. By simply giving instructions in natural languages, BAIclaw can automatically complete complex operations, including DEX convertibility, data query and analysis, and durability contract transactions. If the first three modules give intelligents the "hard nucleus" that participate in the flow of values, then BAIclaw provides users with an efficient and smooth "interactive engine" that allows developers and users to promote, in the most natural way, the integration of AIAgent into real business operations and daily synergies。
As infrastructure such as B.AI matures, the experience and role of users will also undergo subversive changes. Wang Feng Anc and the children believe that the greatest change is “the disappearance of hidden friction”. Users will be liberated from the cumbersome manual and platform switching of the past to the “target-oriented” experience, with the user simply giving instructions, and complex execution, payment and settlement will be done automatically by the infrastructure at the bottom of the loop. The bottom-up financial infrastructure built by B.AI not only breaks down the last barrier to smart-to-realization, but also bodes well for an era of AI Agent-driven trading and collaboration “Agent Economy”。
