an agent in every cup

collecting bits & bobs about building alliances with other intelligences

kaiton

“Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Angela D. R. Smith dl.acm.org

Thumbnail of “Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

GitHub - agiresearch/A-mem

github.com

🎧 The Venture Capitalist Who Finds the Best AI Products—Before They Win

every.to

Patterns for Building LLM-based Systems & Products

Eugene Yan eugeneyan.com

This write-up is about practical patterns for integrating large language models (LLMs) into systems & products

The 2025 AI Engineering Reading List

Andrej Karpathy latent.space

GitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queries

Charles Dickens github.com

It’s becoming increasingly clear that the vast majority of useful AI is not about creating an artificial human personality. It is about creating tools that are endowed with intelligence, and capable of performing far more complex tasks than before.

Nathan Baschez • Intelligent Tools

I Surveyed 100+ AI Tools That Launched Since September—Here Are the 15 That Actually Matter

Nate natesnewsletter.substack.com

GitHub - asg017/sqlite-vec: A vector search SQLite extension that runs anywhere!

github.com