Hermes x GLM5.2 x Pokémon i asked GLM5.2 to one-shot a playable Pokemon game via Hermes (using /goal) it generated everything, including the assets and the sprites. Cost: ~110k tokens / ~$0.5 The game visuals could be improved but the results are satisfying considering the speed and the cost. With more back and forth, an improved and more complete version could be reached very quickly.

Ornith 1.0 32B🦜 vs GLM5.2 🐲 i ran Ornith 1.0 32B locally on my Mac M2 Max (~60 tok/s) against GLM-5.2 on the same 5 animation tasks: - burning paper - paper slice - bubble wrap - zipper opening - mechanical watch as expected GLM-5.2 wins on quality, but Ornith is surprisingly competitive for a model running entirely on-device. the gap is smaller than I expected

I'm canceling Claude and upgrading @AskVenice to Max. For the past two weeks, I reverted to Opus 4.8 from @AnthropicAI after using @Zai_org 's GLM5.1 through Venice for a month and a half. My motivation was simple: make the most of a subscription I'm already paying for. Well my money will be better spent on Venice. Yes GLM is slower but Opus is so retarded and sloppy while being dystopian privacy raping. Now that 5.2 is out, it's a no brainer.

Goldman - the leaders in enterprise AI coding can sustain their lead due to the data flywheel: "Compared with consumer AI data sets, enterprise AI has a unique positive flywheel of coding data (with clearly defined success/failure scenarios that can then feedback for consistent model iterations/reinforcement learning post-training). We believe this positive loop will enable Zhipu to sustain its #1# leadership position in enterprise AI coding scenario, where such leadership could even widen based on global examples. We see GLM5.2’s recent out-performance (ranked nearly on par with US SOTA models, on Arena AI based on actual user feedback) as a landmark moment for Chinese AI models’ intelligence (we call it the “Zhipu GLM-moment” as models reach the overall performance threshold for wide adoption) after the DeepSeek moment (where breakthroughs were mainly on cost efficiencies)."