01Language Models Need Sleep [AI Models & Research]Sleep-like consolidation for transformers enables long-horizon reasoning without context growth. → source
02From Model Scaling to System Scaling [AI Models & Research]System-level architecture is the next bottleneck in agentic AI, not raw model size. → source
03Channel-wise Vector Quantization [AI Models & Research]CVQ replaces patch-wise tokens with channel-wise tokens for better image tokenization. → source
04VeriTrace: Evolving Mental Models [AI Models & Research]Explicit intermediate representations prevent contamination in deep research agents. → source
05Harness, Scaffold, and AI Agent Terms [AI Tools & Ecosystem]HuggingFace publishes a glossary disambiguating key AI agent terminology. → source
06Hybrid Semantic-Lexical Search in RAG [AI Tools & Ecosystem]Combining dense vector search with BM25 for better retrieval quality. → source
08Beyond Summaries: Code Change Labeling [AI Tools & Ecosystem]Structure-aware labeling of code patches for better AI-assisted review. → source
09Pope Leo XIV's Encyclical on AI [AI Applications & Industry]Vatican's first AI-focused encyclical focuses on human dignity over technology. → source
10ClickUp's Mass Layoff & Future of Work [AI Applications & Industry]Productivity-software company restructuring as AI reshapes collaboration. → source
11US Quantum Computing Bet [AI Applications & Industry]Legal questions around massive US government quantum investments. → source
12MobileGym: Mobile GUI Agents [AI Applications & Industry]Browser-based environment for training and evaluating mobile GUI agents. → source
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