The Brains - Cofounder Project

Project details

Who they are looking for

<p>I am looking for a <strong>strategic collaborator / founding commercial partner</strong> for The Brains rather than someone who simply wants to take over the project.</p><p>The ideal collaborator would have one or more of the following:</p><p>• AI/ML and LLM engineering experience</p><p> • Python and model-runtime/deployment experience</p><p> • Quantitative research or financial-market expertise</p><p> • GPU / compute infrastructure experience</p><p> • Market-data engineering experience</p><p> • FinTech, SaaS or productisation experience</p><p> • Access to development resources, compute or funding that can help move the project from R&amp;D into broader historical validation and a usable product</p><p>The immediate technical priorities are:</p><p>• continued validation of the S&amp;P 500 / ES specialist</p><p> • historical baseline and holdout testing</p><p> • improving autonomous market investigation and opportunity construction</p><p> • testing smaller/cheaper model runtimes</p><p> • reducing GPU and data costs</p><p> • packaging the infrastructure into a product that other researchers or trading teams can use</p><p>I currently lead the architecture, curriculum, governance design and development direction.</p><p>The collaboration can be fully remote.</p><p><strong>Preferred commercial structure:</strong> I retain ownership of the core The Brains IP and continue developing it. A partner may receive a negotiated non-exclusive commercial/source-code license, early access, onboarding and agreed involvement in the roadmap in return for funding, infrastructure, development resources or other meaningful contribution.</p><p>I am open to discussing a paid founding commercial license, development sponsorship, revenue sharing or another strategic arrangement.</p><p>I am <strong>not offering automatic 50/50 ownership or a predetermined equity percentage</strong>. Equity or deeper ownership would only be considered separately after we understand the partner's contribution, commitment and long-term role.</p><p>I am particularly interested in a collaborator who understands that this is not intended to be another simple “LLM gives BUY/SELL signals” project. The goal is to build governed, auditable market-reasoning intelligence with point-in-time data, contamination controls, specialist learning and reproducible evaluation.</p><p>I value careful engineering, evidence-driven development and long-term capability over rushing a trading bot to market.</p><p>If interested, please tell me:</p><ol><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span>Your technical/commercial background</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span>Which part of The Brains interests you</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span>What resources or expertise you could contribute</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span>Whether you are interested in technical collaboration, funding/commercial licensing, or both</li><li data-list="ordered"><span class="ql-ui" contenteditable="false"></span>What you would like to build with the system</li></ol><p><strong>Planned Roadmap</strong></p><p>The current ES specialist is the first implementation of a broader specialist architecture. Planned development includes:</p><p>• Complete historical baseline, challenger and sealed holdout validation for the ES specialist</p><p> • Improve autonomous investigation, opportunity construction and cross-market reasoning</p><p> • Expand the specialist framework to <strong>Nasdaq/NQ, Gold and Silver</strong>, while preserving separate asset-specific learning</p><p> • Develop richer cross-market reasoning across equities, volatility, rates, currencies, commodities and macro information</p><p> • Build a neutral WORLD(T) discovery layer so agents can discover all legitimately available information without system-generated relevance or importance guidance</p><p> • Add <strong>live WORLD(T) market-reasoning mode</strong> for real-time decision support, while preserving the same point-in-time and provenance controls used historically</p><p> • Benchmark smaller local models against the current 120B reference model so the system can eventually run economically on ordinary local infrastructure where capability is sufficient</p><p> • Support multiple interchangeable model runtimes and GPU providers rather than depending on one model or cloud vendor</p><p> • Package The Brains into a usable desktop/web research interface with decision history, audit trails, specialist state and learning-certification visibility</p><p> • Build reusable specialist templates so additional markets can be trained without redesigning the core architecture</p><p> • Expand the Learning Lab for controlled comparison of candidate lessons, memories and specialist capabilities before human-authorized promotion</p><p> • Provide commercial/team deployment options for quant researchers, trading teams and AI-agent developers</p><p>The longer-term objective is a family of governed market specialists that can independently investigate the market, reason across relevant evidence, construct opportunities, evaluate risk and learn through controlled historical and live experience without sacrificing temporal integrity or human learning authority.</p><p><strong>These are roadmap objectives and should not be interpreted as completed features.</strong></p><p><br></p><p><br></p><p>A collaborator would also have the opportunity to help shape the planned expansion into NQ, Gold and Silver specialists, live WORLD(T) reasoning, local-model deployment, cross-market intelligence and eventual productisation of the research infrastructure.</p>