AI Roundtable: Let 200 LLM Models Debate Your Question Simultaneously

A New Approach to Multi-Perspective AI Analysis

A new project called AI Roundtable allows users to pose questions to 200 different LLM models simultaneously, letting the models debate and provide diverse perspectives on any topic. The project was featured on Hacker News.

How It Works

AI Roundtable aggregates outputs from a large number of language models — potentially including GPT-4, Claude, Gemini, Llama, Mistral, and many others — and synthesizes their responses into a multi-perspective analysis.

Why It's Interesting

• Wisdom of crowds: Different models have different training data, alignment, and reasoning styles. Aggregating their outputs can surface insights that a single model misses.

• Reducing bias: No single model has a monopoly on truth. Multiple perspectives help identify consensus and disagreement.

• Cost comparison: Users can see how different models handle the same prompt, helping organizations choose the right model for their use case.

• Research value: The project could help researchers understand systematic differences between model architectures and training approaches.

Practical Applications

• Decision making: Getting diverse AI perspectives on strategic questions
• Content generation: Comparing writing styles and approaches across models
• Quality assurance: Cross-checking important information across multiple models
• Model selection: Evaluating which model performs best for specific tasks

Limitations

• API costs for querying 200 models simultaneously could be significant
• Response times may be slow given the volume of API calls
• The synthesis step itself requires careful design to avoid losing nuance
• Some models may produce similar responses due to shared training data

The project represents an interesting experiment in multi-model AI systems, a trend that is likely to accelerate as model diversity increases and costs decrease.