What if the next frontier of AI isn’t a bigger model, but 100,000+ models working together?

Hey Product Hunt 👋

I’m building Ailin¹ Collective Intelligence, and the idea behind it challenges one of the assumptions that has shaped the current AI industry.

Every few weeks, a new model becomes the frontier.

GPT, Claude, Gemini, Grok, open-weight models, specialized models. Each gets better, but we keep building AI systems around essentially the same paradigm:

pick one model and ask it to solve the problem.

We’re exploring a different path.

Instead of asking “Which model is best?”, Ailin¹ asks:

“How should different intelligences work together to produce the best result?”

Ailin¹ is an open-source Collective Intelligence engine where 100,000+ AI models can be discovered and coordinated through different collective strategies.

Models can independently reason, collaborate, debate, critique, verify and synthesize.

The goal isn’t simply multi-model routing.

Routing chooses a model.

Collective Intelligence coordinates intelligences.

That distinction is at the center of what we’re building.

A request can involve independent reasoning paths, specialized participants, structured disagreement, verification, arbitration and synthesis, while preserving provenance of how the collective reached its result.

We believe this can address some structural limitations of relying on a single model:

• one training process
• one architecture
• one set of blind spots
• one provider dependency
• one point of failure

And because the project is open source, we don’t want this thesis to exist only in a pitch deck.

You can inspect the architecture, reproduce our experiments, challenge the results, contribute code, propose new collective strategies, or simply tell us where you think we’re wrong.

Explore the open-source engine:
https://github.com/ailinone/collective-intelligence (⭐)

Explore Ailin¹:
https://ailin.one

Follow our Product Hunt launch:
https://www.producthunt.com/products/ailin-collective-intelligence?launch=ailin-2

We’re building around a thesis that I expect to spend many years exploring:

The next frontier of AI may not be another intelligence in isolation. It may be our ability to make different intelligences work together.

I’d love to hear from builders working on AI agents, inference, model orchestration, developer infrastructure or LLM APIs:

Where do you think a collective of models could outperform even the strongest individual model?