Topic
Z AI
6 episodes
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Z.ai launches GLM 5.3 Flash under MIT license
GLM-5.3-Flash drops today under MIT license — 320 billion parameters, 18 billion active, one million token context, and it was hiding in plain sight as Ox Alpha on OpenRouter all week. Edmund and Geffen dig into the architecture, the benchmark claims, the GLM-5.3 weights bet that's now two days from settling, and whether a model that costs fifteen cents per million input tokens actually changes the open-weight story.
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Glm 5
Vince and Ava discuss Z dot A I's G L M five point three release, focusing on the claim that post-training alone drove the gains, with long-horizon task environments as the real lever.
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Z.ai Launches GLM 5.2 With a Usable 1M Token Context, Two Thinking Effort Levels, and No Benchmarks at Launch
Z.ai launches GLM-5.2 with a usable 1M-token context window, two thinking-effort levels (High and Max), and same-day availability across all Coding Plan tiers. The 5x jump from GLM-5.1's 200K window lets coding agents hold entire mid-sized repositories in working memory without constant summarization. Setup is a drop-in swap (base URL + model ID) for Claude Code, Cline, and OpenClaw. Critical caveat: Z.ai published zero benchmarks at launch — no SWE-bench, Terminal-Bench, or Code Arena scores. The 744B MoE backbone (40B active params) is unchanged from GLM-5 lineage; all gains are post-training and context engineering.
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AI joins the 8 hour work day as GLM ships 5.1 open source LLM, beating Opus 4.6 and GPT 5.4 on SWE Bench Pro
Discussion of GLM-5.1, a new open-source large language model that can work autonomously for up to eight hours on a single task, and its implications on the AI industry
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z.ai debuts faster, cheaper GLM 5 Turbo model for agents and 'claws' — but it's not open Source
Z.ai launches GLM-5-Turbo, a proprietary variant of their open-source GLM-5 model optimized for agent workflows and tool use. At $4.16 per million tokens total cost, it undercuts competitors while delivering better tool reliability and execution stability for multi-step automation tasks.
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z.ai's open source GLM 5 achieves record low hallucination rate and leverages new RL 'slime' technique
z.ai's GLM-5 achieves record-low hallucination rates using a novel 'slime' reinforcement learning technique, scaling to 744B parameters while undercutting competitors by 6x on pricing. The model features native document generation and Agent Mode capabilities for enterprise workflows.