LM Studio 0.3.10 is here with 🔮 Speculative Decoding!... This provides inferencing speedups, in some cases 2x or more, with no degradation in quality. - Works for both GGUF/llama.cpp and MLX models! - Easily experiment with different draft models - Visualize accepted draft token % rate - Works in Chat UI and APIshow more

New Llama.cpp UI is a blessing for the local... AI world 🌎 - Blazing fast, beautiful, and private (ofc) - Use 150,000+ GGUF models in a super slick UI - Drop in PDFs, images, or text documents - Branch and edit conversations anytime - Parallel chats and image processing - Math and code rendering - Constrained generation with JSON schema supported Easy setup + open-source + community-built 🔥show more

Batching for vision models is now available in Beta... with our latest MLX engine update 👾 The updated engine also brings major improvements to caching for faster inference overall. Turn on Developer Mode, choose the beta runtime channel, and select LM Studio MLX v1.8.1.show more

Jan Desktop v0.7.7 is live 💛 This update brings... native MLX support on macOS, a broader UX and UI refresh across the app, and better support for developer workflows. You can now upload files in Projects, use the local API server with both local and remote models, and work more smoothly with tools like Claude Code and other CLIs. Update your Jan or download the latest version atshow more

THIS AI IS WILD chatgpt, claude and gemini and... 3 more models in one app, you can chat with them at the same time, one shared brain that knows you. no more switching models. no more losing context. try here:show more

Continued my hand tracking experiment: this time for my... son, who wanted to play with a T-Rex 🦖 Built the code and generated the 3D models in Omma AI Studio and #threeJS Everything in the browsershow more

Devin for Terminal is a local agent that works... with all frontier models, including Opus 4.7, GPT 5.5, and SWE-1.6. You can switch model mid-session, or handoff to Devin in the cloud.show more

After months of work, and with the help of... our awesome community, we're excited to finally share LM Studio 0.3.0! 🎉 🔥 What's new: - Built-in Chat with Documents, 100% offline - OpenAI-like 'Structured Outputs' API with any local model - Total UI revamp (with dark/light/sepia themes) - Load & serve multiple LLMs *on the local network* - Available in 7 languages! 🌎🌍🌏 - Download any supported model from Hugging Face - Update LLM runtimes (llama.cpp) separately from the app ... and tons more goodies! Let us know how you like it! 👾🤝show more

You can now use GPT 5.5, Gemini 3.7 Flash,... Kimi K3 and 47 other AI models completely free😱 No subscription. No credit card. Even the API usage costs $0. AIHubMix just opened a free catalog with 50 AI models. Some of the available models: • Ox Alpha • Gemini 3.7 Flash • GLM 5.2 • Kimi K3 • MiniMax M3 • GPT 5.5 • 40+ more And you don’t need separate API keys for each model. Setup takes 2 minutes: > Step 1: Go to > Create an account using your email or OAuth. No card needed. Step 2: Create one API key > The same key works with every free and paid model. Step 3: Add it to any OpenAI-compatible tool Base URL: Then choose any model ending in -free, such as: coding-glm-5.2-free gpt-5.5-free That’s it. One API key. 50 AI models. $0 for both input and output. Save this. You might need a free multi-model setup later.show more

This symmetric diffusion paper at ICLR is nice (simple... idea in retrospect): SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models We'd actually implemented this idea internally at Orbital, and it works nicely even for very large crystal structures:show more

we sped up distributed inference by up to 5x... with decentralized speculative decoding. many don't realize that AI models normally generate text one single word at a time, waiting for the network after every word. speculative decoding changes this by using a "guess & confirm" system, similar to autocomplete. how it's done: 1. draft locally (the guess) instead of waiting for the network, a tiny, fast model on your device guesses the next few words instantly, without waiting for the network. 2. confirm remotely (the check) the massive remote model doesn't generate from scratch; it just checks the draft. it looks at the guesses in a batch and says "yes, yes, no." you get multiple words in the time it usually takes to get one. 3. adaptive logic dsd is smart. if the topic is creative, it lets the draft flow loose. if the topic is math or code, it checks more strictly. it balances speed and precision automatically so your inference almost feel instant. find out more: paper: blog:show more

With GAIA-4 we've been able to deploy world models... for safety critical simulation. Here are some nice counter-factual replay examples with cyclist and pedestrian interactions. All running in closed-loop. Read more in our new blog:show more

Nano Banana 2 Lite 🤝 Gemini Omni Flash Now... you can use the Interactions API to build with both models. We created this e-commerce applet in Google AI Studio that turns static product shots into cinematic videos. Here’s how it works: 1⃣ Upload a product photo and set the vibe 2⃣ Nano Banana 2 Lite generates new, brand-accurate assets 3⃣ Gemini Omni Flash renders those images into a high-quality videoshow more

Couldn’t have been more impressed with NDSU Football OL... Grey Zabel in the Panini Senior Bowl 1-on-1s. Here are three good reps from him at three different positions (C, LG, RG) Strong case for IOL1 in this draft, and a top 50 pickshow more

okay! my whole pipeline for getting fable and sol... to be able to 3d model good topology hard surface game models without using any additional paid services is WORKING... we just need to dial in their lowpoly geometry and baking techniques some more, the pipeline is images > trellis > model creates the lowpoly themselves with direct headless blender interaction > bake ... this will work with both of them because you can replace sol's gptimage2 imagegen in fable's version with z-image-turbo or another quality local image modelshow more

My dual RTX PRO 6000 setup is currently training... a Draft model for Qwen 3.6 27B! 🔥 I'm taking the paper DeepSeek dropped on 6/26 and going for a super ambitious application to the 27B scale. Thanks to my homelab, I was able to dive straight in — I read the paper and immediately started experimenting. The amount I've learned has been insane: - How memory bandwidth bottlenecks speed and clever ways to hack around it - Methods to train the draft model and boost its accuracy - Mechanisms to reference tokens all the way back to the previous one to skyrocket draft acceptance rates - The impact of Attention vs. GateDeltaNet on speculative decoding performance and how to handle those differences - The unique approaches and trade-offs of MTP, Dflash, JetSpec, and DSpark I could go on forever, but just from speculative decoding alone I've learned so much. The 27B architecture feels way more DSpark-native than JetSpec, so once draft training finishes, I'm going all-in with DSpark! My goal is to beat existing speculative decoding speeds outright — no task-specific shortcuts or cheating, pure general improvement. If you're into this kind of research, I'd love to hear your thoughts, impressions, and any suggestions — please reply! 🚀show more

Today I'm launching a very early release of MLX... Model Manager ( A Swift package for quickly and easily adding LLM/VLMs with just a couple of lines of code into your MacOS/iOS applications for local and private inferencing. This is built on the amazing work of the MLX team & what they have done with MLX Model Manager unifies the work they have done with MLXLLM as well as MLXVLM into one package with added abstractions to simplify the usage. I've also added support for Google's new Paligemma2 Vision Model ( You can see a demonstration in the video below! Huge shoutout to Awni Hannun for the creation of MLX, David Koski on leading the charge for MLXVLM and Prince Canuma for the creation of MLX-VLM. Three massive pillars in the MLX community among many others.show more

Businesses, you can now* accept payments directly from agents—without,... or with, a human in the loop—using Stripe machine payments. It works for both cards and stablecoins via Machine Payments Protocol or x402. Add to your existing integration in a single prompt. *No more waitlist, get started =>show more

Introducing Jan v3, with updates to Jan Desktop v0.7.6... 💛 Jan v3 is our first v3 model, a 4B base built for fine-tuning and fast local use, with stronger math and coding. This release also includes a small Jan Desktop update, starting with a UI refresh as we move toward a more unified Jan experience. Try it: - Jan v3 is available in Jan Desktop and at - Get the latest desktop app at Model: - Jan-v3-4B: - Jan-v3-4B-GGUF: Thanks Qwen for the base model and Georgi Gerganov for llama.cpp 💛show more

We’re unlocking the #NPU with #LiteRT to deliver high-performance... AI that stays cool and fast. 🧠⚡️ Real-world impact and performance at scale: 🔷 Google Meet: Ultra-HD segmentation video effects models for pro-quality backgrounds 🔷 Epic Games: 30 FPS real-time MetaHuman facial animation on Android 🔷 Argmax: 2x speedup in speech-to-text with industry-leading latency 🔷 Google AI Edge Portal: cross-device benchmarking with NPU support Explore how it works →show more