diff --git a/README.md b/README.md
index dc22804074..3699c50736 100644
--- a/README.md
+++ b/README.md
@@ -45,8 +45,8 @@ Unsloth Studio (Beta) lets you run and train text, [audio](https://unsloth.ai/do
 * **[Code execution](https://unsloth.ai/docs/new/studio/chat#code-execution)**: lets LLMs test code in Claude artifacts and sandbox environments
 * **[API inference endpoint](https://unsloth.ai/docs/basics/api)**: Deploy and run local LLMs in Claude Code, Codex tools with Unsloth
 * [Auto set inference settings](https://unsloth.ai/docs/new/studio/chat#auto-parameter-tuning) and customize chat templates.
-* We work directly with teams behind [gpt-oss](https://docs.unsloth.ai/new/gpt-oss-how-to-run-and-fine-tune#unsloth-fixes-for-gpt-oss), [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3_unsloth_dynamic_ggufs_128k_context_bug_fixes/), [Llama 4](https://github.com/ggml-org/llama.cpp/pull/12889), [Mistral](models/tutorials/devstral-how-to-run-and-fine-tune.md), [Gemma 1-3](https://news.ycombinator.com/item?id=39671146), and [Phi-4](https://unsloth.ai/blog/phi4), where we’ve fixed bugs that improve model accuracy.
-* Upload images, audio, PDFs, code, DOCX and more file types to chat with.
+* We work directly with teams behind [gpt-oss](https://docs.unsloth.ai/new/gpt-oss-how-to-run-and-fine-tune#unsloth-fixes-for-gpt-oss), [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3_unsloth_dynamic_ggufs_128k_context_bug_fixes/), [Llama 4](https://github.com/ggml-org/llama.cpp/pull/12889), [Mistral](https://huggingface.co/mistralai/Mistral-Medium-3.5-128B/discussions/18), [Gemma 1-3](https://news.ycombinator.com/item?id=39671146), and [Phi-4](https://unsloth.ai/blog/phi4), where we’ve fixed bugs that improve model accuracy.
+* Chat with images, audio, PDFs, code, DOCX and more. [Connect API providers](https://unsloth.ai/docs/integrations/connections) (OpenAI, Anthropic) or servers (vLLM, Ollama).
 ### Training
 * Train and RL **500+ models** up to **2x faster** with up to **70% less VRAM**, with no accuracy loss.
 * Custom Triton and mathematical **kernels**. See some collabs we did with [PyTorch](https://unsloth.ai/docs/get-started/reinforcement-learning-rl-guide/fp8-reinforcement-learning) and [Hugging Face](https://unsloth.ai/docs/new/faster-moe).
@@ -64,9 +64,8 @@ Unsloth Studio (Beta) works on **Windows, Linux, WSL** and **macOS**.
 
 * **CPU:** Supported for Chat and Data Recipes currently
 * **NVIDIA:** Training works on RTX 30/40/50, Blackwell, DGX Spark, Station and more
-* **macOS:** Currently supports chat and Data Recipes. **MLX training** is coming very soon
+* **macOS:** Training, MLX and GGUF inference are ALL supported.
 * **AMD:** Chat + Data works. Train with [Unsloth Core](#unsloth-core-code-based). Studio support is out soon.
-* **Coming soon:** Training support for Apple MLX, AMD, and Intel.
 * **Multi-GPU:** Available now, with a major upgrade on the way
 
 #### macOS, Linux, WSL:
@@ -82,13 +81,10 @@ irm https://unsloth.ai/install.ps1 | iex
 ```bash
 unsloth studio -p 8888
 ```
-> For cloud VMs or LAN access, add `-H 0.0.0.0` to bind on all interfaces.
+For cloud or global access, add `-H 0.0.0.0`. By default, Unsloth is accessible only locally.
 
 #### Update
-To update, use the same install commands as above. Or run (does not work on Windows):
-```bash
-unsloth studio update
-```
+To update, use the same install commands above or use `unsloth studio update`.
 
 #### Docker
 Use our [Docker image](https://hub.docker.com/r/unsloth/unsloth) ```unsloth/unsloth``` container. Run:
@@ -150,6 +146,8 @@ Read our [guide](https://unsloth.ai/docs/get-started/fine-tuning-llms-guide). Ad
 - See detailed documentation for Unsloth [here](https://unsloth.ai/docs)
 
 ## 🦥 Unsloth News
+- **Connections**: Connect any API provider (OpenAI, Anthropic) or server (vLLM, Ollama). [Guide](https://unsloth.ai/docs/integrations/connections)
+- **MTP**: Run Qwen3.6 MTP in Unsloth. MTP settings are autoset specific to your hardware. [Guide](https://unsloth.ai/docs/models/qwen3.6#mtp-guide)
 - **API inference endpoint**: Deploy and run local LLMs in Claude Code, Codex tools. [Guide](https://unsloth.ai/docs/basics/api)
 - **Qwen3.6**: Qwen3.6-35B-A3B can now be trained and run in Unsloth Studio. [Blog](https://unsloth.ai/docs/models/qwen3.6)
 - **Gemma 4**: Run and train Google’s new models directly in Unsloth. [Blog](https://unsloth.ai/docs/models/gemma-4)