Brief

The environmental cost of AI is becoming a significant concern, with large language models consuming vast amounts of water for cooling their data centers. Corporations are prioritizing profit over sustainability, leading to a potential crisis as AI infrastructure expands. This unchecked growth raises questions about the long-term impact on communities and the environment. AI

Retrieval-Augmented Generation (RAG) is proving insufficient for complex enterprise R&D environments, according to Naboo CEO Gilad Salinger. RAG struggles with fragmented data across multiple systems like code repositories, project management tools, and communication platforms, failing to understand the relational context. It also lacks intent understanding, treating different tasks with similar text similarity, and suffers from stale data due to infrequent re-indexing. Salinger proposes a context layer that builds cross-system understanding and real-time ingestion to overcome these limitations. AI