GLM-5 applies structured decoding constraints with fine-grained tool conditioning, enabling schema-accurate outputs and reduced hallucination in structured tasks (tables, reports, programmatic outputs). Infra-level reliability engineering. ⚙️ bit.ly/glm-5

The takeaway: GLM-5 isn’t chasing hype cycles. It’s optimizing routing, scaling stability, decoding control, and async training pipelines. Architecture > headlines. If you’re building AI infra, this is worth studying: bit.ly/glm-5

🔥 Hot take: GLM-5 might be more architecturally interesting than most “frontier” Western models right now. Not louder. Not hyped. Just… deeper infra decisions. Sparse routing. Async RL. Long-context stability. That matters more than leaderboards! bit.ly/glm-5

744B parameters. ~40B active per token. Hierarchical MoE + entropy-regularized gating to prevent expert collapse. This is how you scale without burning infinite compute. Selective intelligence > brute-force density. bit.ly/glm-5

Everyone brags about 200K+ context. Few solve positional drift past 100K. #GLM-5 combines rotary embeddings with extrapolation-stable scaling to maintain coherence at extreme lengths. bit.ly/glm-5

The real sleeper feature? “Asynchronous” RL training (“#Slime”) Separate rollout, training, buffering layers. No synchronous stalls. Continuous agent refinement. Most people arguing about prompts have no idea this layer even exists. :) bit.ly/glm-5

28.5 trillion tokens pretraining. Let that sink in. Scale like that changes statistical grounding across logic, code, multilingual reasoning. Data scale still wins. Even in the #MoE era. bit.ly/glm-5

Structured decoding + fine-grained tool conditioning. Schema-accurate outputs. Lower hallucination in tables, reports, programmatic formats. Reliability engineering > “vibes-based AI.” Enterprise teams care about this more than creativity demos! 🔬 : bit.ly/glm-5

And here’s the uncomfortable part: Hardware-agnostic inference stacks (Ascend, Cambricon, Moore Threads). If AI infra decouples from Nvidia dependency at scale… The geopolitical AI map shifts. Architecture decisions ripple far beyond benchmarks. :) bit.ly/glm-5