GLM-5.1

Headlines · 4

1. 7d
   Revolut moves AI coding to self-hosted GLM models

   Revolut has made self-hosted Z.ai GLM-5.3 its default AI coding model for about 2,000 engineers, running on 56 Nvidia B200 GPUs, according to TechRadar, 36氪 and The Next Web. The company reports that inference costs fell about 90%, coding time fell 60% and lead time improved 70%, while commercial models remain in use for visual and specialized tasks. Revolut says it initially imposed token limits after some engineers spent $1,000 to $10,000 per month without clear returns.

   36氪 人工智能 · 🔥 0
2. Nov 3
   SGLang HiCache brings KV reuse to distributed LLM serving

   LMSYS Blog details how SGLang’s HiCache extends radix-cache prefix KV reuse beyond GPU memory to host memory and external storage. It supports context and pipeline parallelism, speculative decoding, unified KV layouts, and prefill-decode disaggregation, while SGLang’s rank_consensus_checker helps diagnose inconsistent cache decisions across ranks. The Iflytek Astron MaaS team reports that combining HiCache with external storage raised its cache hit rate from about 30% to 95% and reduced median TTFT to below three seconds.

   LMSYS Blog · 🔥 0
3. Nov 2
   OpenSelect launches a multi-account proxy for Claude Code

   Juejin author Acorne-VJ released OpenSelect as an MIT-licensed local proxy built with Bun and TypeScript. It pools coding-service accounts, translates between Anthropic and OpenAI-compatible protocols, monitors usage, and routes requests across Claude Code, opencode, and configured providers. The author also claims DeepSeek 1017 generated responses more than five times faster than Codex, but provides no independent benchmark methodology.

   掘金 · 人工智能 · 🔥 0
4. Oct 8
   State of AI Report 2026: three-lab race, agent gains, $105B revenue

   Air Street Press released its ninth annual State of AI Report, with author Nathan Benaich describing a three-lab frontier race: Anthropic leads Artificial Analysis's Intelligence Index while Google tops Arena's human-preference ranking. The report cites a controlled study in which changing tools, context and feedback — without touching weights — lifted GLM-5.1's success on 100 SWE-bench Verified tasks from 52.5% to 65.5%, and says Anthropic's internal index credits Claude with 26% of measured model R&D work in August, up from under 1% in February. It also reports that OpenAI and Anthropic's combined annualized revenue run rates reached about $105B by late summer, up from roughly $30B at the start of the year, while Epoch AI estimates the cost of reaching a fixed benchmark score has fallen 47% per quarter since 2023.

   Air Street Press · 🔥 0

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