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TL;DR: Filtered HNSW search on object storage has a precision problem that existing solutions can't touch. At small scale, an adaptive boost works. At large scale, multimodal cross-encoders that process images and text through joint cross-attention are the architecture that fixes this.
I've been running
Last week Claude Code was stuck on an architecture decision. Instead of going back and forth with one model, I thought — what if it could phone a friend? Or three?
So I built brainstorm-mcp, an MCP server that gives your coding agent a brainstorming team. Claude poses the question, GPT-5, Gemini, DeepSeek,...
Hi all,
I'm terribly sorry to share that we still need a few more days to announce the GitHub Copilot CLI Challenge winners. We received over 400 submissions and are doing our best to make the final selections.
Apologies for another disappointing update and thank you all again for participating, building, and sharing your work with the community.
Instead of setting a n...