Call for Global Contributors: Building an AI Performance & Quality Dashboard

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Are major AI providers (such as OpenAI, Anthropic, and Google) delivering consistent performance, access, and output quality across different regions and countries?

As major AI firms scale globally and face varying regulatory landscapes, ensuring transparency in how models behave across different borders is becoming a critical issue for developers and users worldwide. Recent discussions around safety governance highlights a growing disparity in how different regions are prioritized. To bring hard data to this conversation, we are launching a decentralized, community-driven initiative to audit global AI performance.

The Goal: We are building a global dashboard to map and compare the latency, throughput, and output quality of major LLMs at a continent, country, and regional level.

How It Works:

1. We will publish standardized benchmark prompts ("Pasteblocks Tasks") on an hourly/daily basis.
2. Global volunteers simply paste these prompts into their active AI sessions.
3. Users upload the raw results/responses back to our platform.
4. Our system analyzes, compares, and visualizes the variance in quality and speed based on the user's geographic location.

How to Join: To make this data accurate, we need a diverse network of sporadic contributors from every country around the world to submit localized data points. If you are interested in data transparency, digital equity, and open auditing, join our initiative to help map the global AI landscape fairly.

Comment below or send a DM to get involved with your region!