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Multimodal Superintelligence 2025 : The Grand Challenge on Multimodal Superintelligence | |||||||||||
Link: https://multimodal-ai.com | |||||||||||
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Call For Papers | |||||||||||
The Grand Challenge on Multimodal Superintelligence
Text, Audio, Vision, and 3D multimodal-ai.com Call for Participation Lambda Research invites researchers, engineers, and practitioners to participate in the Grand Challenge on Multimodal Superintelligence, an open initiative to design the blueprints for next-generation open-source multimodal AI systems. Participating teams may receive up to $20,000 in Lambda.ai compute credits per team to accelerate the development of their models. This challenge provides both technical resources and a collaborative platform for advancing the science and engineering of multimodal intelligence. Visit multimodal-ai.com for more information. Scope and Objectives The Grand Challenge spans text, audio, vision, and 3D data, with a central focus on developing any-to-any multimodal models. Participants are expected to build systems capable of accepting arbitrary subsets of modalities as input and producing arbitrary subsets as output. Key goals include: Exploring architectures that enable seamless integration across diverse modalities. Demonstrating proof-of-concept innovations in flexible “any-to-any” generation. Advancing open-source frameworks that reduce data preprocessing burdens through provided custom data-loader utilities, allowing participants to concentrate on modeling innovations. Participation Tracks Participants may join under one of three categories: Sponsored Participants – Teams awarded compute credits (up to $20,000 per team) based on the strength of their proposal. Alpha Participants – Sponsored teams who additionally contribute to the alpha version of our streaming server by porting datasets into our universal data format. These participants receive extra credits for their contributions. Independent Participants – Teams opting to participate without compute sponsorship. Specialization While the vision is “any-to-any” multimodal capability, teams may specialize in one or two modalities. Such specialization must be explicitly justified in order to qualify for compute sponsorship. Timeline Challenge Begins: September 2, 2025 Private Test Example Set with Labels Released: October 5, 2025 Private Test Service Open: October 15, 2025 Last Call for Private Test Submissions: December 10, 2025 Winners announcement: December 10, 2025 (All deadlines are 11:59 PM, anywhere on Earth.) Evaluation and Criteria The primary evaluation criterion is the originality and potential of the idea. Participants must provide proof-of-concept results by December 10, 2025. Fully developed foundation models are not required at this stage; rather, emphasis will be placed on creativity, feasibility, and prospects for scaling. Outstanding teams from the first stage may receive extended support from Lambda to scale their systems into open-source foundation models. Vision This Grand Challenge is not merely a competition but a collaborative movement: to build AI that sees, hears, reads, speaks, and reasons. Together, we aim to set the foundation for the next generation of open-source multimodal superintelligence. How to Participate Proposals and applications for sponsorship should be submitted via the challenge platform (multimodal-ai.com). Registered teams will receive full participation guidelines, dataset access, and instructions for submitting their work. |
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