Hugging Face releases swift-huggingface, a complete Swift client for accessing its APIs and models. The library provides native integration for iOS/macOS developers and supports inference, embeddings, and vision tasks.
OpenAI acquires Neptune to improve visibility into model behavior and strengthen tools for tracking experiments and monitoring training.
Hugging Face releases Transformers v5 featuring simplified model definitions. The update improves compatibility, reduces code complexity, and strengthens integration across the AI ecosystem. Emphasis on accessibility and model maintainability.
AlphaFold revealed the structure of a key protein involved in heart disease. This discovery opens perspectives for developing new treatments.
OpenAI and Intuit announce a $100M+ multi-year partnership to integrate Intuit apps into ChatGPT and deploy OpenAI's frontier models in Intuit's personalized financial tools.
Google DeepMind releases WeatherNext 2, an AI weather forecasting model delivering more accurate, efficient, and higher-resolution global weather predictions than its predecessor.
Google DeepMind introduces SIMA 2, a Gemini-powered AI agent capable of thinking, understanding, and acting in interactive 3D environments. The agent combines reasoning and learning to interact with users in virtual worlds.
OpenAI releases two open-weight reasoning models: gpt-oss-safeguard-120b and gpt-oss-safeguard-20b, post-trained to label content according to provided policies. Technical report covers capabilities and baseline safety evaluations against underlying gpt-oss models.
IBM and Hugging Face release Granite 4.0 Nano, an ultra-lightweight model optimized for on-device inference. The model drastically reduces size while maintaining reasoning and code generation capabilities.
Hugging Face releases huggingface_hub v1.0 after five years of development. The Python library has become the core infrastructure for sharing and accessing open-source models, datasets, and spaces. This release marks API stability and solidifies Hugging Face's role as a major collaborative platform for open-source ML.
Hugging Face introduces dataset streaming, reducing memory consumption by 100x. Data loads on-demand without prior download, accelerating training and experimentation on large corpora.
Google DeepMind introduces T5Gemma, a new collection of encoder-decoder Gemma models. These LLMs combine T5 architecture with Gemma foundation for translation, summarization, and text generation tasks.
Google DeepMind announces MedGemma, a collection of multimodal open-source models specialized for health AI development. These represent DeepMind's most capable open models for medical application development.
Gemini 2.5 Flash-Lite exits preview and becomes generally available for production use. This lightweight model delivers high quality at low cost, featuring a 1 million-token context window and multimodality.
Gemini with Deep Think reaches gold-medal standard at the International Mathematical Olympiad. The model solves all six exceptionally difficult problems from the world's most prestigious annual mathematics competition.
Google DeepMind introduces Genie 3, a world model that generates dynamic, navigable environments in real time at 24 fps in 720p resolution, maintaining consistency for several minutes.
Google DeepMind releases Gemini Robotics 1.5, an AI model for robots capable of perceiving, planning, reasoning, using tools and acting. The system targets complex multi-step tasks in the physical world.
Google DeepMind introduces CodeMender, an AI agent that automatically detects and fixes critical software vulnerabilities. The tool uses advanced AI techniques to identify security flaws and propose patches.
Google DeepMind rolls out Deep Think in the Gemini app for Google AI Ultra subscribers. Select mathematicians gain access to the full Gemini 2.5 Deep Think model entered in the IMO competition.
Google DeepMind releases Gemma 3 270M, a compact 270-million parameter model designed for hyper-efficient AI. This addition expands the Gemma 3 toolkit with a lightweight option optimized for resource-constrained deployments.
Google DeepMind introduces VaultGemma, a language model trained from scratch with differential privacy. It is the most capable model ever created under this privacy constraint.
Google DeepMind introduces Gemini 2.5 Computer Use, a specialized model built on Gemini 2.5 Pro capabilities to power agents that interact with user interfaces. Available in preview via API.
Google DeepMind launches a 27 billion parameter Gemma model specialized for single-cell analysis. The model helped identify a new potential cancer therapy pathway.
Sentence Transformers, the open-source library for generating text embeddings, officially joins Hugging Face. The development team integrates the platform to accelerate innovation in semantic representations and improve accessibility of embedding models.
Google Cloud C4 delivers 70% TCO improvement for GPT open-source models in partnership with Intel and Hugging Face. The optimization combines Google Cloud's C4 infrastructure with Intel processors to significantly reduce inference and deployment costs.
Nvidia releases Nemotron-Personas-India, a synthetic dataset for training sovereign AI models in India. The dataset contains personas and generated data reflecting Indian cultural and linguistic context, enabling local organizations to develop tailored models without external infrastructure dependency.
OpenAI and Broadcom announce multi-year partnership to deploy 10 gigawatts of OpenAI-designed AI accelerators by 2029. The companies will co-develop next-generation systems and Ethernet solutions for scalable, energy-efficient AI infrastructure.
Hugging Face introduces BigCodeArena, a code generation evaluation platform based on actual code execution. It measures end-to-end performance rather than textual comparison, enabling objective assessment of generation quality.
OpenAI launches Apps, a new category of conversational applications embedded directly in ChatGPT. A public SDK in preview enables developers to start building immediately.
AMD and OpenAI announce multi-year partnership to deploy 6 gigawatts of Instinct GPUs, starting with 1 GW in 2026, to power OpenAI's next-generation AI infrastructure and accelerate global AI innovation.
Hugging Face releases dots.ocr, a state-of-the-art OCR model optimized for Core ML. The model runs on-device on iOS/macOS with high accuracy and low latency, without server dependency.
Hugging Face introduces RTEB, a new standard for evaluating retrieval systems. RTEB provides standardized and reproducible benchmarks to measure the performance of embedding models and RAG pipelines.
OpenAI releases Sora 2, its latest video generation model with improved physical accuracy, realism, and control. Features synchronized dialogue and sound effects. Available in the new Sora app.
OpenAI introduces GDPval, a new evaluation framework measuring model performance on economically valuable real-world tasks across 44 occupations. The benchmark assesses practical capabilities on professional use cases rather than traditional academic benchmarks.
OpenAI, Oracle, and SoftBank announce five new Stargate AI datacenter sites to accelerate a $500B, 10-gigawatt U.S. infrastructure buildout, creating tens of thousands of jobs.
OpenAI and NVIDIA announce strategic partnership to deploy 10 gigawatts of AI datacenters powered by NVIDIA systems, first phase launching in 2026.
Figure AI raises over $1 billion in Series C, boosting valuation from $2.6B to $39B. The startup accelerates deployment of its humanoid robots.
Google releases EmbeddingGemma, an efficient embedding model based on Gemma. The model delivers competitive performance with reduced memory footprint, optimized for vector search and RAG tasks.
NVIDIA releases a 6 million example multilingual dataset for reasoning training. The dataset spans multiple languages and aims to improve language model reasoning capabilities.
FilBench is a benchmark to evaluate LLM understanding and generation of Filipino. The dataset covers classification, QA, and generation tasks in Filipino and English. Results show significant gaps in major models' Filipino capabilities.