Financial Decisions
Research focuses on reliable decisions, multi-agent collaboration and games, and the generation, validation, competition and evolution of strategies.
AGENT FIRST
Advance intelligence through scientific discovery. Expand scientific discovery through the evolution of intelligence.
SingularityX Evolution (零界演化) is dedicated to building intelligent decision systems centered on AI self-evolution, while exploring an open, collaborative organization in which humans and AI create value together.
AI4S → RSI → AI4S
Our AI4S → RSI → AI4S research path connects scientific discovery, intelligence evolution and open collaboration.
Research focuses on reliable decisions, multi-agent collaboration and games, and the generation, validation, competition and evolution of strategies.
Humans define problems, objectives and boundaries. Greater system autonomy must be matched by independent validation, AI red teaming and defense, traceability and risk controls.
Open problems, modular collaboration, contribution records and value assessment inform the exploration of explainable allocation mechanisms and an appeals process.
Starting with intelligent financial decision-making, long-term research interests include scientific research, human–AI learning, and the intersection of artificial intelligence and neuroscience. Research remains focused on questions of lasting value, with methods, judgments and priorities revised in response to evidence.
Read the full organization introductionS2E / PLATFORM · IN DEVELOPMENT
S2E (Singularity to Evolution) is a distributed AI collaboration platform in development, connecting researchers, domain experts, engineers, agents and computing resources worldwide to organize sustained collaboration on shared challenges.
Can humanity access more abundant energy and extend sustainable habitats beyond Earth?
Can humanity reduce the constraints imposed by disease and aging, and understand life, cognition and consciousness more deeply?
Can people, agents, knowledge and resources distributed around the world develop a lasting capacity to collaborate on complex problems?
Small-scale closed-loop tests in finance are being used to examine collaboration, validation and reward mechanisms, alongside work on infrastructure, connections with partners across disciplines and ecosystem development.
S2E will break grand challenges into verifiable research tasks, making progress step by step from a concrete question. Fusion can start with a control or materials problem; brain–computer interfaces with cross-individual decoding and long-term stability; and space-based computing with thermal management, radiation and cost models.
Sharing does not require open-sourcing. Experts do not need to disclose all their materials, Memory or source code: the original knowledge remains in their hands, and agents access it within authorized limits, returning only the agreed results. The platform verifies contributions, records their sources and rewards real contributions through attribution, reputation, funding and access to resources.
Participants can document questions, methods and research records during their most creative hours, while agents collaborate asynchronously to reduce waiting. Trust starts with small tasks, and permissions expand gradually as verifiable results are produced. Blockchain is used to register contributions. Participants can also contribute spare computing capacity. Verified effective computation will be converted into resource credits redeemable for higher-tier computing resources.
Guided by a commitment to public-interest research, S2E iterates rapidly with a small core team and welcomes researchers, developers, research institutions and resource partners worldwide to participate.
Make one person’s important discovery a starting point for others to continue exploring.
Explore S2EEXPLORE
Explore our research, organization and ways to participate to find a starting point that matches your interests and capabilities.
Research covers AI4S, RSI and multi-agent collaboration, alongside innovative AI applications in financial research, strategy evolution and risk management.
Explore researchOrganizational research explores open collaboration, verifiable contributions, value assessment and explainable allocation with an appeals process.
Explore organizationFull-time, internship and task-based collaboration opportunities, grounded in research and engineering contributions. Remote participation is supported.
Explore opportunitiesOpen financial problem proposals and solutions, alongside joint research with institutions, industry teams and independent contributors.
Explore collaborateVerified sponsorship and participation records with original sources.
Explore eventsResearch updates, open-source work and industry events are available through the official GitHub and WeChat account.
Official GitHubOpen Participation
We welcome research questions and verifiable solutions in finance, with corresponding rewards for contributions adopted after review.
Describe the context, significance and expected outcome of a real financial problem, establishing a clear basis for further research.
Provide a method, code or research report addressing a defined financial problem, supported by reproduction instructions and verification evidence.
Problems and solutions are assessed and recognized separately. Reward amounts and payment arrangements are specified in the adoption notice or published bounty terms.
Events & Community
Conference sponsorship, industry exchange and community participation connect frontier research with open collaboration.
Sponsoring DAI 2026 at City University of Hong Kong, connecting researchers, developers and industry peers around advances in AI agents.
Consecutive sponsorSupport for the 2025 and 2026 editions of the CCF Multi-Agent Systems Conference.
Invited participantParticipation in the commodities industry conference and a roundtable on AI and organizations.
Diamond sponsorA technical exchange at Shanghai Jiao Tong University focused on evolution and intelligent systems.