$GLM Catalyst Posts
June 25, 2026Single-day social intelligence recap and verified catalyst posts · ← Back to $GLM Profile · Market Rankings
💬 Curated Viral Posts & Community Evidence
9 source posts analyzed· 2026-06-25T13:18:16+00:00This week GLM 5.2 broke all benchmarks and effectively the AI internet. Rumors of GPT 5.6 hit Github Commits. New 4 Billion Dollar Deal from Qualcomm. Let's talk about. Join us for the best AI show on X at 12pm ET.
· 2026-06-25T14:45:00+00:00GLM 5.2 inside Open Design. One website link. One prompt. Near-perfect recreation. No spec. No prompt engineering. Just reference-to-web. The design-to-code gap is closing faster than anyone expected.
· 2026-06-25T13:27:41+00:004 x DGX = GLM 5.2 20Tok/s
AI visual analysis: An ASUS router and a "MIKROTIK" device are visible, surrounded by a tangled mess of cables, with a green LED illuminating the area. The image accompanies a post about "4 x DGX = GLM 5.2 20Tok/s," though the specific DGX hardware is not clearly visible in the frame.
· 2026-06-25T02:37:48+00:00GLM、KiMi已登陆 B.AI
![中文档章链接: [0.01, 0.13, 1.0, 0.87]](https://api.cryptitalk.com/reddit-image/13b613f0ebf60b5f76a9c7561bee5d644f80d7b5aabf5269cbc633d504be1f36.jpg)
AI visual analysis: 中文档章链接: [0.01, 0.13, 1.0, 0.87]
· 2026-06-25T16:20:18+00:00growthepie needs your support and this time any ETH holder can help! @OctantApp epoch 12 is in full swing and GLM as well as ETH holders can vote for their favorite teams building in the Ethereum ecosystem and beyond. Every vote is a huge help for us - only 5 days left
· 2026-06-25T03:45:12+00:00Ok Guys. 4 x DGX Sparks we going for GLM 5.2 NVFP4 Tonight !
· 2026-06-25T20:06:32+00:00Been trying to get GLM up and running on Hermes and Openclaw all day... It's been a b***h... Something is wrong with it trying to use it TOOLS on MTP=3
· 2026-06-25T12:09:38+00:00GLM 5.2 is super simple to use with @akashnetAI You can straight up use with your Claude code or Opencode in a few simple steps.
· 2026-06-25T10:57:50+00:00GLM-5.2 by @Zai_org abhi available sabse capable open-weight models mein se ek hai. → 145 tok/sec → 1M context window → MIT License Jab model itna fast aur itna open ho, to uske liye infrastructure bhi usi level ki honi chahiye.
