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Topic: "cuda-acceleration"
GPT-5 Codex launch and OpenAI's quiet rise in Agentic Coding
gpt-5-codex qwen3-next-80b openai alibaba together-ai nvidia agentic-ai software-engineering long-context mixture-of-experts model-optimization cuda-acceleration inference-efficiency routing task-adaptive-thinking sama swyx omarsar0 ofirpress
OpenAI released GPT-5-Codex, an agentic coding model optimized for long-running software engineering tasks with dynamic task-adaptive thinking, multi-hour autonomy, and improved code quality. It achieves 51% accuracy on an unreleased large refactor benchmark and integrates deeply with developer tools like Xcode. Meanwhile, Alibaba launched Qwen3-Next-80B, a hybrid MoE model with native long-context support (262k tokens, extensible to 1M+), targeting efficient reasoning and repository-scale code analysis, supported by Together AI and NVIDIA with CUDA-accelerated attention. The trend towards hybrid SSM + MoE architectures is noted, emphasizing efficiency and scaling in China and US training regimes. Community discussions highlight the importance of variable compute and routing for inference efficiency and quality.