We prioritize clarity, technical depth, and verifiable data. Follow these guidelines to help us evaluate your contributions efficiently.

Research Papers

Code Repositories

Technical Feedback

Provide links to arXiv, PDF, or official publication pages. Include a brief summary of key findings and their practical implications.

Link to GitHub, GitLab, or other public repos. Highlight relevant sections and any benchmarks shipped this week.

For corrections or detailed insights, be specific. Reference articles by title and pinpoint areas for improvement or additional context.

Stay Ahead of the Hype Cycle

Get our weekly digest of practical AI benchmarks and model architecture updates, delivered straight to your inbox.