docs: update latest news list (#1390)

Signed-off-by: Ashwath Aithal <[email protected]>

Author: euronymous-aithal

README.md

@@ -10,15 +10,16 @@
 * [9/27/2025] [FP8 Quantization in NeMo RL](https://github.com/NVIDIA-NeMo/RL/discussions/1216)
 * [9/25/2025] On-policy Distillation (Qwen3-style)
     * Student generates on-policy sequences and aligns logits to a larger teacher via KL, achieving near-larger-model quality at lower cost than RL. See [On-policy Distillation](#on-policy-distillation).
+
+<details>
+<summary>Previous News</summary>
+  
 * [8/15/2025] [NeMo-RL: Journey of Optimizing Weight Transfer in Large MoE Models by 10x](https://github.com/NVIDIA-NeMo/RL/discussions/1189)
 * [7/31/2025] [NeMo-RL V0.3: Scalable and Performant Post-training with Nemo-RL via Megatron-Core](https://github.com/NVIDIA-NeMo/RL/discussions/1161)
 * [7/25/2025] [Release v0.3.0!](https://github.com/NVIDIA-NeMo/RL/releases/tag/v0.3.0)
     * 📝 [v0.3.0 Announcement](https://github.com/NVIDIA-NeMo/RL/discussions/1161)
     * 📊 View the release run metrics on [Google Colab](https://colab.research.google.com/drive/15kpesCV1m_C5UQFStssTEjaN2RsBMeZ0?usp=sharing) to get a head start on your experimentation.
 
-<details>
-<summary>Previous News</summary>
-
 * [5/14/2025] [Reproduce DeepscaleR with NeMo RL!](docs/guides/grpo-deepscaler.md)
 * [5/14/2025] [Release v0.2.1!](https://github.com/NVIDIA-NeMo/RL/releases/tag/v0.2.1)
     * 📊 View the release run metrics on [Google Colab](https://colab.research.google.com/drive/1o14sO0gj_Tl_ZXGsoYip3C0r5ofkU1Ey?usp=sharing) to get a head start on your experimentation.