GLM news

Every GLM story as it breaks — clustered from 311 sources, ranked by importance, updated every 10 minutes.

Revolut says it cut AI coding inference costs by about 90% by self-hosting GLM models

Revolut replaced commercial tools like Claude Code with self-hosted open-weight GLM models running on 56 Nvidia B200 GPUs, cutting inference costs to roughly $0.30 per million tokens in under a year.

Lead source: The Register AI/ML

[P] NKI layer megakernels for GLM-5.3-Flash on AWS Trainium2: where a decode step's time went, and what we changed [P] — r/MachineLearning
Follow-up: instead of buying a big DDR3 board, I split GLM-5.3-Flash across my two small x79 ud3 (4× rtx 3060) boxes over 1 GbE: ~40 tok/s, 6–7 s agent turns, 48/48 on my coding bench — r/LocalLLM
Deep Principle releases 753B open-weight model beating GPT-6 on science benchmark — AlphaSignal
Hydrogen-1.0: open-weight scientific model beats GPT-6 Astra on FSR with 72% lower estimated output cost [P] — r/MachineLearning
deep-principle/Hydrogen-1.0 · Hugging Face — r/LocalLLaMA
Deep Principle releases Hydrogen-1.0, a 753B open-weight model for scientific discovery — MarkTechPost
VEKTOR 2.0.4: Hacker News Books/Videos added—Node.js & SQLite security upgrades — DEV Community — AI