June 25, 2026 · AI
Speeding up LLM inference with MTP and diffusion
MTP and diffusion inference on Gemma 4 and Qwen 3.6, fp8 on one H100
#LLM
#vLLM
#MTP
#Speculative Decoding
AI
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한국어May 27, 2026 · AI
Requirements as Latent State
Why spec-driven development is a requirements-inference architecture
#AI
#Agent
#Requirements
#Spec-Driven
AI
May 27, 2026 · AI
Skill and Harness
Why skills and harnesses overlap in implementation
#AI
#Agent
#Harness
#Skills
AI
May 26, 2026 · AI
Harness as Environment
How harness design determines whether agents actually adapt.
#AI
#Agent
#Harness
#Memory
AI
May 22, 2026 · AI
Memory as Adaptation
Why agent memory moved from RAG storage to the foundation of policy adaptation
#AI
#Agent
#Memory
#RAG
May 22, 2026 · AI
Weights, Prompts, Codes as Parameters
Weights, prompts, and code as parameters at different layers of a learnable policy space
#AI
#Agent
#LLM
#POMDP
May 21, 2026 · AI
Comparing Four LightRAG Variants — Same Root, Different Production Strategies
Source-level comparison of RAG-Anything, ApeRAG, and EdgeQuake as LightRAG derivatives
#LightRAG
#RAG-Anything
#ApeRAG
#EdgeQuake
AI
May 21, 2026 · DB
PostgreSQL Lakehouse (2/2) — Distributed Processing and Citus Integration
Distributed processing (Ray/Daft/Smallpond) and Citus + pg_lake FDW integration
#PostgreSQL
#Lakehouse
#pg_lake
#Iceberg
AI
May 21, 2026 · DB
PostgreSQL Lakehouse (1/2) — When DuckLake Hit a Wall, pg_lake Was There
Eight phases building a PostgreSQL-centered Lakehouse: DuckLake's libpq collision and pg_lake
#PostgreSQL
#Lakehouse
#DuckLake
#Iceberg
AI
May 21, 2026 · DB
PG-Strom SSB Benchmark — Arrow FDW Comes Before GPU
Why Arrow+GPU achieves 10x at SF=100 and Heap+GPU loses to CPU on wide tables
#PG-Strom
#PostgreSQL
#GPU
#OLAP
AI
