arXiv:2606.07812v1 Announce Type: new Abstract: Humanity is a mosaic of multifaceted talents and needs, and any truly intelligent AI must reflect that richness. Yet the LLMs used by all are built by the few -- a centralized market of monolithic AI models structurally ill-suited to capture the diversity of human knowledge, reasoning, and values. Here we introduce scaling participation, a new paradigm in which modular AI systems are built from the bottom up through the contributions of diverse stakeholders. Participants contribute small models trained on their own interests and priorities; these
The increasing centralization and limitations of large monolithic AI models are driving research into more distributed and inclusive AI development paradigms.
This paradigm shift could democratize AI development, allowing more diverse contributions and potentially leading to more robust and representative AI systems.
The focus moves from centralized, few-contributor LLMs to modular AI systems built from diverse stakeholder contributions, changing how AI is developed and owned.
- · Modular AI frameworks
- · Small model developers
- · Niche AI applications
- · Diverse stakeholder groups
- · Monolithic LLM providers
- · Centralized AI development platforms
- · Companies reliant on a few general-purpose models
Increased participation in AI development leads to a wider variety of specialized AI models.
The proliferation of modular AI components fosters new marketplaces for AI services and integrations.
National and regional entities may leverage this paradigm to build sovereign AI capabilities tailored to their specific needs and values.
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Read at arXiv cs.AI