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AIB: attribution, reuse of MCPMark results, and staying in touch
#275
I'm Seung Woo Han, co-founder of AIB, an AI comparison site available in Korean, Japanese, and English.
We currently display published MCPMark results with credit and links to your leaderboard. We present the legacy and Verified editions separately and explain that their scores are not directly comparable:
Our goal is to help nontechnical users, especially small businesses, understand what these evaluations measure and make informed decisions about adopting AI. We do not sell benchmark data or charge readers to access these results.
Could you let us know whether you have any concerns or conditions regarding this use, or preferences for attribution, version labels, and presentation? We will correct or remove the relevant entries if requested.
We would also appreciate feedback on explaining MCPMark's results and limitations to this audience. We'd be glad to stay in touch and share practical questions or use cases from small businesses exploring AI adoption.
If someone else handles reuse questions or this type of outreach, an introduction would be much appreciated.
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Hi MCPMark team,
I'm Seung Woo Han, co-founder of AIB, an AI comparison site available in Korean, Japanese, and English.
We currently display published MCPMark results with credit and links to your leaderboard. We present the legacy and Verified editions separately and explain that their scores are not directly comparable:
Our goal is to help nontechnical users, especially small businesses, understand what these evaluations measure and make informed decisions about adopting AI. We do not sell benchmark data or charge readers to access these results.
Could you let us know whether you have any concerns or conditions regarding this use, or preferences for attribution, version labels, and presentation? We will correct or remove the relevant entries if requested.
We would also appreciate feedback on explaining MCPMark's results and limitations to this audience. We'd be glad to stay in touch and share practical questions or use cases from small businesses exploring AI adoption.
If someone else handles reuse questions or this type of outreach, an introduction would be much appreciated.
Thank you for your work on MCPMark.
Seung Woo Han
Co-founder, AIB Inc.
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