NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science The NASA-IBM Lunar Foundation Model makes decades of lunar observation data usable for machine learning. It's especially strong at predicting ice deposits at the poles and detecting craters.

Takeaways − FlashML-org released FreeVideo , a local inference engine for MiniMax H3 video generation. Runs in 8 GB VRAM and 16 GB RAM via aggressive weight offloading and streaming.

The Agent Said It Was Done. The Database Disagreed. The Agent Said It Was Done. The Database Disagreed. Microsoft ThinkingBox grades AI agents on the records they leave behind, not the sentences they generate, and then asks whether they can do it twenty times in a row.

The second Anthropic-linked vulnerability known to have been exploited in the wild saw initial activity from an IP address in China targeting vulnerable hosts…

"Muse Gadgets" turns AI hardware into an open-source DIY project Meta has announced Muse Gadgets, an open-source project that lets hobbyists build their own AI hardware. It includes firmware for ESP32 boards and a Linux SDK to connect homemade devices to Meta's AI agent Muse.

Takeaways − VieNeu-TTS v3 Turbo ships 48 kHz Vietnamese TTS, Apache-2.0, trained from scratch on ~10k hours. 16 concurrent real-time streams on a single RTX 3060 with ~115 ms first-audio latency.

Open-source "BootLoops" harness supports AI models in performing precise scientific calculations Harvard physicist Matthew Schwartz built "BootLoops," an open-source harness that uses language models for scientific calculations and bridges knowledge gaps between disciplines.

OpenAI has warned that its review may identify more organisations that have had websites accessed by its AI agents without authorisation. Photograph: Dado Ruvić/Reuters OpenAI has warned that its review may identify more organisations that have had websites accessed by its AI agents without authorisation.

Meta now lets you make your own Muse gadgets that feature the company's new AI agent with code that the company open sourced.

OpenAI's agents have repeatedly strayed beyond their intended scope. Two separate reports detail the activity, including one from Sam Altman’s company saying…

Open-sourcing AstaBrief, the fast report-generation model in Asta Open-sourcing AstaBrief, the fast report-generation model in Asta Language models can already help researchers search the literature, synthesize evidence, and work through complex questions.

AutoSynthData: Generating Training Data for Enterprise Agents AutoSynthData: Generating Training Data for Enterprise Agents Enterprises need agents that work well in their own environments. The work they ask these agents to do is shaped by the systems they use, the rules they follow, and the state of their data.

Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples | NVIDIA Technical Blog Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples Do Inference Now (DIN) Deploy provides open-source C++ samples that combine ONNX Runtime with the NVIDIA TensorRT RTX execution provider to accelerate local AI inference on Windows and Linux.

Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning TLDR 👉 new TTS leaderboard focused on open-source and multilingual The pace of open-source text-to-speech (TTS) model releases has been incredible.

AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect | NVIDIA Technical Blog AI Native by Design: Lessons Learned from Building NVIDIA TensorRT Model Connect Parallel work, model family isolation, reversible changes, and GPU-backed validation shaped an open source project designed around coding agents NVIDIA TensorRT Model Connect is an open source collection of AI model reference...

NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction Aleksandar S. Sokolovski aleksssokolovski Follow NVIDIA Kumo Tabular, part of the NVIDIA Kumo Structured model collection, is an open foundation model for tabular data now available on Hugging Face .

Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents Tool-using LLM agents no longer read from a single retrieved passage.

Ollama now supports Jev-style decision models Ollama now supports decision models, based on TypeSafe's Jev API for fast, typed decisions: Three new decision models available today via Ollama This new API is available as of Ollama 0.35 by using the new /v1/systemone endpoint.

Holo4: powering generalist computer-use agents Holo4: powering generalist computer-use agents Emrick Sinitambirivoutin emricksini-h Follow Aleix Cambray (H-AI) h-aleixcambray Follow Holo4 is our new series of agentic models. It comes in two sizes: 27B dense and 35B-A3B Mixture of Experts.

Accelerating vision-language models with LFM2.5-VL-DSpark Accelerating vision-language models with LFM2.5-VL-DSpark Today, we release an experimental DSpark draft model for our vision-language model (VLM) LFM2.5-VL-3B . As with our recently released LFM2.5-DSpark drafter models , it adds a speculative decoding path that trades a minimal increase in memory footprint for a larger speedup without changing output quality.

Broad refactors and migrations often have to land as one change. Stacked pull requests are a great way to split work into smaller changes, which makes reviews…

How UK AISI and EvalEval Are Making Benchmark Results Reproducible How UK AISI and EvalEval Are Making Benchmark Results Reproducible The EvalEval Coalition is thrilled to share that the UK AI Security Institute (AISI) is using EvalEval's infrastructure to openly share evaluation results, supporting more reproducible and verifiable evaluation science.

We're adding support for running GGUF models efficiently in transformers , so you can use checkpoints sized for your laptop's memory through the familiar transformers APIs. Pick a GGUF from the Hub, load it with from_pretrained , and start generating on your own machine.

The best open-source image models make great pictures. Character.ai needed more: the same Character, recognizable through every style, scene, and page a story…

Migrations are the bane of any mature company. Systems are deeply integrated, you have key stakeholders across domains, and a small improvement can take months or years to integrate in traditional cases.

Hey folks,We had some reports of ending up in spam 😭 - so if you add us as a contact in Gmail, that shouldn’t happen.You’ll have seen me…

Our 255th episode with a summary and discussion of last week’s big AI news!Recorded on 08/26/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free…

Ollama's Pro, Max, and Team plans now use transparent per-token pricing. Based on your feedback, every plan includes a monthly pool of usage credits. If you're on an existing Pro, Max, or Team plan, your plan continues to work as-is.

Weaviate v1.39 is now available open-source and on Weaviate Cloud. Two search features reach general availability in this release: the Boost API for…

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers.

NVIDIA Nemotron 3.5 Lightning is now available on Ollama, and it runs completely on your own device. It's a 30 billion parameter (3B active) open model from NVIDIA built for agents that stay running: gathering context, calling tools, and working through multi-step tasks.

Muse Glimmer from Meta Superintelligence Labs is now available Muse Glimmer , Meta's newest open model and the first released by Meta Superintelligence Labs, is now available on Ollama . It's a 30B multimodal model purpose-built for agent workloads that run locally with a 128K+ context length, released under the Apache 2.0 license.

At a glance Orchard is an open-source framework for scalable and cost-effective agentic AI research, built around Orchard Env, a reusable environment service…

Note from Andrey: apologies for the newsletter not having resumed yet - the next release is going to come tomorrow, and it will resume weekly cadence…

Michael and I first met in college, where we started our first company, Kitematic, which made Docker dead-simple to run. In 2015, it was acquired by Docker.

Faster Gemma 4 on MLX with multi-token prediction Gemma 4 is now significantly faster in Ollama 0.31. On Apple Silicon, it generates tokens nearly 90% faster on average across a coding-agent benchmark.

Ollama's highest performance on Apple Silicon yet with MLX Ollama's MLX engine has been updated to deliver its highest performance on Apple Silicon yet. By leaning more heavily on Apple's unified memory and the Metal-backed MLX framework, models output higher quality responses, respond faster, and use less memory.

Improved performance and model support with GGUF Ollama 0.30 is now available with improved performance and GGUF model compatibility through llama.cpp . This augments Ollama's MLX engine on Apple silicon, bringing support to more models on a wider range of hardware.

NVIDIA Nemotron 3 Ultra is now available on Ollama’s cloud. It’s a 550 billion parameter (55B active) open model from NVIDIA built for long-running, agentic workflows with fast and affordable performance across hundreds of tool calls.

Many people asked me over the past months to share my workflow for how I come up with the LLM architecture sketches and drawings in my articles, talks, and…

We are excited to introduce Qwen3Guard, the first safety guardrail model in the Qwen family. Built upon the powerful Qwen3 foundation models and fine-tuned specifically for safety classificatoin, Qwen3Guard ensures responsible AI interactions by delivering precise safety detection for both prompts and responses, complete with risk levels and categorized classifications for accurate moderation.

We are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image's unique text rendering capabilities to image editing tasks, enabling precise text editing.

We are thrilled to release Qwen-Image , a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing. To try the latest model, feel free to visit Qwen Chat and choose “Image Generation”.

Today, we're announcing Qwen3-Coder, our most agentic code model to date.

We release Qwen3 Embedding series , a new proprietary model of the Qwen model family. These models are specifically designed for text embedding , retrieval , and reranking tasks, built on the Qwen3 foundation model.

Today, we are excited to announce the release of Qwen3 , the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B , achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro.