Blog
HBF and HBC: The Next Generation of AI Memory Technology Challenging HBM Dominance
High Bandwidth Flash (HBF) and High Bandwidth Compute (HBC) are emerging alternatives to HBM — lower power for edge AI, near-memory inference, and a tiered memory ecosystem through 2027 and beyond.
Colibri: The Revolutionary AI Engine Running 744B-Parameter Models on Just 25GB RAM
Colibri is a pure-C, zero-dependency inference engine that streams MoE experts from disk to run GLM-5.2 (744B) on ~25 GB RAM — democratizing frontier local AI without expensive GPUs.
Hong Kong Courts: Stop Putting Case Files in Public AI
Hong Kong’s Judiciary drew hard lines on AI — zero delegation, mandatory accuracy checks, and a ban on feeding sensitive case data into public models. Here’s what law firms should copy before disclosure rules land.
How RAG Beats Fine-Tuning for Legal Use Cases
Why law firms should prefer retrieval-augmented generation over fine-tuning for matter work: citation grounding, update speed, auditability, and data control — without retraining the model on client files.
Anthropic Unveils "J-Space": A Hidden Reasoning Workspace Inside Claude AI That Mirrors Human Consciousness
Anthropic discovers J-space in Claude AI - a hidden internal workspace that functions like human conscious thought. Learn how this breakthrough changes AI safety monitoring and interpretability.
Revolutionary Breakthrough: How AUTOMEM Makes Open-Source AI Competitive with Frontier Models
Stanford's AUTOMEM framework teaches Qwen2.5-32B-Instruct to manage memory like humans — achieving Claude Opus and Gemini-level performance on long-horizon tasks through optimized memory, not model scaling.
