Introducing AegisLayer: A Public Reference Architecture for AI Governance and Runtime Security
AEGISLAYER
• NEW Articles from Team or Enterprise organizations will get promoted to the main section.
Independent Reproduction of Causal-JEPA: An Audit of Object-Level Latent Masking Claims
Ryukijano
• DistribAI, a new training framework
Enderchef
• • 2How to Make a Small LLM a MiCA Specialist — What Went Right and What Went Wrong
svetlink
• One workstation, 6,341 papers, 18 days: the workflow is the product
ParetoOptimal
• Five machine raters, one definition, and answers ranging from 0 to 78
leventbulut
• On Measuring Progress Toward AGI: A Cognitive Framework
JosefAlbers
• What Is MiniMax H3 (Hailuo 3.0)? The Open-Weight Multimodal Video Model, Explained
ResterChed
• • 1int-llm precision ladder: from a wide integer oracle to compact weights
nmicic
• DeepSeek V4 Flash Is Now Official: What Changed in the 0731 Build
ResterChed
• Chapter 02 — AMNESIA BY DESIGN
SoulInPsyAbstract
• Exact E2M1 on Hopper
KissTheHabit
• Text-Only Models with mm-ctx Vision Toolkit vs. Native Vision Models
vlm-run
• Accelerating Qwen3.6 on Intel® Core™ Ultra Series 3 with DFlash
ofirzaf
• • 9mDenseOn with the mLateOn: Open Multilingual, Long-Context, and Code Retrieval Models
lightonai
• • 26Can you train a model on Simon Willison's deeply unscientific pelican benchmark?
sergiopaniego
• • 1What Do Memory Benchmarks Actually Measure? (Hint: Not Storage)
mjfk
• • 1Geometric Memory FT4 — Distill Against a Consensus, Ship a Rotation
AbstractPhil
• I Built a RAG System, Then Tried to Break It
nazeerbashashaik
• • 1🎲 Apprendre à un réseau à écrire avec seulement une récompense — il a atteint 99,9 % grammatical sans apprendre une seule règle 🇫🇷
RDTvlokip
• • 3