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Aleph Alpha's Kolibri 78B model is now available to try for free online through a chat interface hosted by Tesseracted, highlighted via the r/euainews community.
Free uncensored GLM 5.3 Flash is available now, with ~13M shared TPM and ~360 TPS peak throughput, usable for cybersecurity, coding, and general tasks.
New model Wity-1, a reasoning decision model positioned between non-reasoning decision models like Jev and fully reasoning LLMs, reportedly beats Jev on all 4 baselines and ranks #1 on the Image Jev Bench, and is multi-modal. It reasons just enough until internal LLM probabilities indicate the answer is reached.
China's open-model lead is becoming a distribution advantage, with Qwen hitting 942 million Hugging Face downloads and Chinese open-weight models rising to over 45% of OpenRouter tokens, as cited in a Mozilla report.
Google Cloud and Inferact announce a partnership to optimize vLLM for TPU, making it a first-class citizen in the open model ecosystem for agentic production serving.
DeepSeek v4 Pro 0813 outperforms all other models on a cybersecurity vulnerability-finding benchmark, achieving 87.5% CVE rediscovery at pass@3, though with lower precision and run consistency.
This paper introduces Macaron-V1, an open continual learning agent-model family using Mixture-of-LoRA to compose specialist adapters on frozen base models, with recursive self-improvement and model-harness co-design.
A new tool called kimi-k3-in-c runs the 2.78T-parameter Kimi K3 open model on a single CPU with as little as 8.24 GB RAM, streaming experts from disk and achieving deterministic output at 10-32 seconds per token.
NVIDIA released Alpamayo 2 Super, an open reasoning model for autonomous vehicles, now available for commercial use under the OpenMDW-1.1 license, delivering frontier-scale reasoning for robotaxis and AV development.
Arcee AI, Loka, AWS, and Prime Intellect post-trained an open model using reinforcement learning to improve scientific tool use and biological reasoning, achieving notable gains on drug tool and Gene Ontology benchmarks.
Kimi K3 is a 2.8T parameter open model from Moonshot AI, showing strong benchmark performance but likely over-optimized and lagging behind top closed models by months. It is distilled from Claude and its release may precede an IPO.
NVIDIA released Cosmos 3 Edge, a 4-billion-parameter open world model for edge devices that helps robots and vision AI agents understand surroundings, reason in real time, and generate actions. It achieves best-in-class throughput and accuracy among similar-sized models.
Google announced Gemma 4 E2B optimized for the Pixel 10's TPU, enabling on-device multimodal AI capabilities like offline chat, image recognition, and audio transcription.
An open model that predicts a robot's actions from a control signal, raising questions about whether it constitutes a world model or just a video generator.
This paper analyzes open language model adoption, finding that Chinese models led by Qwen now dominate downloads, surpassing US models by March 2026. Qwen's lead comes from a diverse range of model sizes, while DeepSeek leads in very large models, and some US models still show strong momentum.
Introducing Leanstral 1.5, a 119B parameter (6B active) open model for formal proof engineering in Lean 4, achieving 100% on miniF2F, state-of-the-art scores on PutnamBench and FATE benchmarks, and discovering previously unknown bugs in open-source repositories.
GLM 5.2, an open AI model, is now available in the Cursor coding tool via a partnership with Fireworks.
NVIDIA released Nemotron-TwoTower-30B-A3B-Base-BF16, a diffusion-based language model that uses block-wise autoregressive diffusion to generate text by iterative denoising of token blocks, achieving 2.42× the generation throughput of the autoregressive baseline while retaining 98.7% of benchmark quality.
GLM-5.2 is a new open-source AI model that sets a high bar for open models, though it still trails proprietary frontier models and lacks some features like vision.
NVIDIA released the Nemotron 3 open model, offering three sizes: Nano, Super, and Ultra. It optimizes hardware efficiency through architectural innovations such as hybrid Mamba Transformer, latent MoE, and multi-token prediction, and adopts the Open MDW 1.1 open license.