AI, XR, DevOps, graph theory, knowledge graphs, and digital sovereignty. Deep dives, tutorials, and analysis from across the GraphWiz knowledge base.
A hands-on evaluation of a local Jev-style decision pipeline on an RTX 4080 Laptop: raw logits are overconfident by 13 points, a fitted temperature fixes the cliff but not everything, and one blind self-repair round rescues 40% of the misses — no answer key in the prompt.
A hands-on evaluation of Qwen3.5-4B-3D-Coder with MTP speculative decoding on a 12 GB laptop GPU: 0 of 3 generated scenes run unpatched, yet the model debugs all of them in one self-repair round.
How temporal knowledge graphs give AI agents durable, auditable memory — and why time-travel retrieval is harder than it looks.
Five agent memory systems launched in the same month. Neo4j Context Engine, SurrealDB Agent Memory, Databricks MemCurrent, AllegroGraph GraphTalker 2.0, and Tencent Hy Memory 2.0 take fundamentally different architectural bets — and the differences matter for anyone building agents that remember.
Open-source inference acceleration has split into three fronts — quantized kernels, speculative decoding, and distributed serving. vLLM Humming, DeepSeek DSpark and DeepInfer, and llm-d v1.0 each attack a different bottleneck, and together they are reshaping what a single GPU can do.
OpenCode 2 is Anomaly's rewrite with a shared service, Code Mode, automatic response continuation and remote pairing — but V1 plugins, the CLI config and LSP support all break. The graphwiz.ai opencode-saia-plugin already bridges both versions.