Terminal Bench 3.0
PulseAugur coverage of Terminal Bench 3.0 — every cluster mentioning Terminal Bench 3.0 across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Grok 4.6 benchmark scores vary wildly based on reporting method
xAI's Grok 4.6 has shown vastly different performance scores on the same benchmark, depending on how it is measured. The model achieved 26% according to xAI's own model card for Terminal-Bench 3.0, but a separate analys…
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Zhipu AI releases GLM-5.3 MoE model with FP8 support
Zhipu AI has released GLM-5.3, a Mixture-of-Experts (MoE) text model that supports FP8 precision. The model's performance is detailed in its model card, showcasing scores on benchmarks such as Terminal Bench 3.0 with a …
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九章智算云 focuses on training-inference consistency for AI infrastructure
九章智算云 is developing an AI infrastructure system focused on "training-inference consistency" to support the increasing reliance on reinforcement learning (RL) for scaling model capabilities. This system aims to efficient…
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Zhipu AI releases GLM-5.3, excelling in coding and security benchmarks
Zhipu AI has released its new model, GLM-5.3, which is specifically designed for coding and security tasks. The model significantly improved performance on benchmarks, more than doubling its score on SWE-Marathon and qu…
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Z.ai's GLM-5.3 achieves SOTA in coding and cybersecurity via post-training
Z.ai has released GLM-5.3, an updated model that achieves significant performance gains through scaled post-training rather than changes to its base model. The model shows marked improvements in complex coding tasks, pa…