As token usage explodes, model choice becomes product strategy.Teams are already testing models like GLM-5.2 because they want frontier quality, better tokenomics, and more control over…
RT HassanI love using GLM 5.2 for web app iteration.My workflow: generate 6 variations, then pick the best one and continue iterating on it.I built Recast…
LLMs are getting better at writing GPU kernels. Multi-GPU kernels are the harder test.At @aiDotEngineer World's Fair, @simran_s_arora will share ParallelKernelBench, an open-source benchmark built from…
Together AI built the world’s fastest speech-to-text stack.Parakeet on Together transcribes ~302 seconds of audio per second of processing time, the top speed factor reported by…
Cost per iteration is the unlock.GLM-5.2 on Together AI can generate polished web apps for a few cents. At that price, developers can explore more directions,…
RT Vipul Ved PrakashA tangible comparison of GLM performance stacked against Opus 4.8 on web tasks by @nutlope. GLM 5.2 is chattier, but still faster when…
Agentic coding changes what inference engines need to handle.At AI Engineer World’s Fair, Together AI engineers will lead a hands-on workshop on how inference engines work…
RT HassanAnnouncing GLM Arena!A series of tests (infographics, svgs, sites, ect..) ran on GLM 5.2 and Opus 4.8, with prompts included.On average, GLM 5.2 produced 2x…
RT HassanRan 10 more tests comparing GLM 5.2 & Opus.On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar…
.@cartesia runs one of the hardest inference workloads: real-time voice.Their stack has to keep long-lived streams moving, serve millions of audio minutes a day, and hold…