diff --git a/README.md b/README.md
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@@ -18,6 +18,7 @@
 
 ## Latest News
 
+- [2025/08/29] [Fine-Tuning gpt-oss for Accuracy and Performance with Quantization Aware Training](https://developer.nvidia.com/blog/fine-tuning-gpt-oss-for-accuracy-and-performance-with-quantization-aware-training/)
 - [2025/08/01] [Optimizing LLMs for Performance and Accuracy with Post-Training Quantization](https://developer.nvidia.com/blog/optimizing-llms-for-performance-and-accuracy-with-post-training-quantization/)
 - [2025/06/24] [Introducing NVFP4 for Efficient and Accurate Low-Precision Inference](https://developer.nvidia.com/blog/introducing-nvfp4-for-efficient-and-accurate-low-precision-inference/)
 - [2025/05/14] [NVIDIA TensorRT Unlocks FP4 Image Generation for NVIDIA Blackwell GeForce RTX 50 Series GPUs](https://developer.nvidia.com/blog/nvidia-tensorrt-unlocks-fp4-image-generation-for-nvidia-blackwell-geforce-rtx-50-series-gpus/)
@@ -29,14 +30,14 @@
 - [2025/01/28] Model Optimizer is now open source!
 - [2024/10/23] Model Optimizer quantized FP8 Llama-3.1 Instruct models available on Hugging Face for download: [8B](https://huggingface.co/nvidia/Llama-3.1-8B-Instruct-FP8), [70B](https://huggingface.co/nvidia/Llama-3.1-70B-Instruct-FP8), [405B](https://huggingface.co/nvidia/Llama-3.1-405B-Instruct-FP8).
 - [2024/09/10] [Post-Training Quantization of LLMs with NVIDIA NeMo and TensorRT Model Optimizer](https://developer.nvidia.com/blog/post-training-quantization-of-llms-with-nvidia-nemo-and-nvidia-tensorrt-model-optimizer/).
-- [2024/08/28] [Boosting Llama 3.1 405B Performance up to 44% with TensorRT Model Optimizer on NVIDIA H200 GPUs](https://developer.nvidia.com/blog/boosting-llama-3-1-405b-performance-by-up-to-44-with-nvidia-tensorrt-model-optimizer-on-nvidia-h200-gpus/)
-- [2024/08/28] [Up to 1.9X Higher Llama 3.1 Performance with Medusa](https://developer.nvidia.com/blog/low-latency-inference-chapter-1-up-to-1-9x-higher-llama-3-1-performance-with-medusa-on-nvidia-hgx-h200-with-nvlink-switch/)
-- [2024/08/15] New features in recent releases: [Cache Diffusion](https://github.com/NVIDIA/TensorRT-Model-Optimizer/tree/main/examples/diffusers/cache_diffusion), [QLoRA workflow with NVIDIA NeMo](https://docs.nvidia.com/nemo-framework/user-guide/24.09/sft_peft/qlora.html), and more. Check out [our blog](https://developer.nvidia.com/blog/nvidia-tensorrt-model-optimizer-v0-15-boosts-inference-performance-and-expands-model-support/) for details.
-- [2024/06/03] Model Optimizer now has an experimental feature to deploy to vLLM as part of our effort to support popular deployment frameworks. Check out the workflow [here](./examples/llm_ptq/README.md#deploy-fp8-quantized-model-using-vllm)
 
 <details close>
 <summary>Previous News</summary>
 
+- [2024/08/28] [Boosting Llama 3.1 405B Performance up to 44% with TensorRT Model Optimizer on NVIDIA H200 GPUs](https://developer.nvidia.com/blog/boosting-llama-3-1-405b-performance-by-up-to-44-with-nvidia-tensorrt-model-optimizer-on-nvidia-h200-gpus/)
+- [2024/08/28] [Up to 1.9X Higher Llama 3.1 Performance with Medusa](https://developer.nvidia.com/blog/low-latency-inference-chapter-1-up-to-1-9x-higher-llama-3-1-performance-with-medusa-on-nvidia-hgx-h200-with-nvlink-switch/)
+- [2024/08/15] New features in recent releases: [Cache Diffusion](https://github.com/NVIDIA/TensorRT-Model-Optimizer/tree/main/examples/diffusers/cache_diffusion), [QLoRA workflow with NVIDIA NeMo](https://docs.nvidia.com/nemo-framework/user-guide/24.09/sft_peft/qlora.html), and more. Check out [our blog](https://developer.nvidia.com/blog/nvidia-tensorrt-model-optimizer-v0-15-boosts-inference-performance-and-expands-model-support/) for details.
+- [2024/06/03] Model Optimizer now has an experimental feature to deploy to vLLM as part of our effort to support popular deployment frameworks. Check out the workflow [here](./examples/llm_ptq/README.md#deploy-fp8-quantized-model-using-vllm)
 - [2024/05/08] [Announcement: Model Optimizer Now Formally Available to Further Accelerate GenAI Inference Performance](https://developer.nvidia.com/blog/accelerate-generative-ai-inference-performance-with-nvidia-tensorrt-model-optimizer-now-publicly-available/)
 - [2024/03/27] [Model Optimizer supercharges TensorRT-LLM to set MLPerf LLM inference records](https://developer.nvidia.com/blog/nvidia-h200-tensor-core-gpus-and-nvidia-tensorrt-llm-set-mlperf-llm-inference-records/)
 - [2024/03/18] [GTC Session: Optimize Generative AI Inference with Quantization in TensorRT-LLM and TensorRT](https://www.nvidia.com/en-us/on-demand/session/gtc24-s63213/)