GenAI

GenAI

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Harness, Memory, Context Fragments, & the Bitter Lesson
Harness, Memory, Context Fragments, & the Bitter Lesson
this is a work in progress mental dump on interesting intersections between how we use and design a harness, implications for memory being accumulated over long timescales, and the search bitter lesson we can’t escape this
·x.com·
Harness, Memory, Context Fragments, & the Bitter Lesson
Spec-Driven Development – Adoption at Enterprise Scale
Spec-Driven Development – Adoption at Enterprise Scale
Spec‑Driven Development helps align intent between humans and AI, but enterprise adoption requires cultural change, workflow integration, and scalable collaboration patterns.
·infoq.com·
Spec-Driven Development – Adoption at Enterprise Scale
Multimodal Embeddings and RAG: A Practical Guide | Weaviate
Multimodal Embeddings and RAG: A Practical Guide | Weaviate
Multimodal embeddings allow AI systems to search and reason across text, images, audio, and video in their native formats. This blog covers the key intuitions behind how this all works and walks through three practical implementations using Weaviate and Gemini.
·weaviate.io·
Multimodal Embeddings and RAG: A Practical Guide | Weaviate