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.
Replicate launches a remote MCP server enabling users to discover, compare, and run models from Claude, Cursor, and VS Code.
OpenAI releases GPT-5 system card detailing a unified model routing system using gpt-5-main, gpt-5-thinking, and gpt-5-thinking-nano variants, optimized for different tasks and developer use cases.
OpenAI and the U.S. General Services Administration (GSA) announce a partnership to provide ChatGPT Enterprise free to the entire federal executive branch workforce (2+ million employees) for one year. Aims to modernize government operations and test large-scale AI adoption.
OpenAI releases GPT OSS, a new open-source model family. Models are available on Hugging Face with public weights and permissive licensing, signaling a strategic shift toward open-source by OpenAI.
OpenAI releases gpt-oss-120b and gpt-oss-20b, two open-weight models under Apache 2.0 license. They outperform similarly-sized open models on reasoning and tool use, optimized for consumer hardware deployment.
OpenAI releases gpt-oss-120b and gpt-oss-20b, two open-weight reasoning models under Apache 2.0 license with gpt-oss usage policy. Publicly available for deployment and research.
Hugging Face releases 3LM, a benchmark evaluating Arabic LLMs on STEM and code tasks. The dataset covers mathematics, physics, chemistry, and programming in Arabic, enabling measurement of model capabilities in these specialized domains.
Hugging Face migrates its Hub from Git LFS to Xet to improve download performance and reduce infrastructure costs. Xet provides better large file handling with compression and deduplication, benefiting millions of users.
Kimina-Prover applies test-time reinforcement learning search to large formal reasoning models. The method improves performance on mathematical proofs by dynamically exploring the search space without retraining.
Hugging Face releases an MCP (Model Context Protocol) server enabling applications to access its models and datasets through a standardized interface. The server integrates model search, download, and inference execution without additional setup.
NVIDIA releases Llama Nemotron Nano VLM on Hugging Face Hub. This lightweight vision-language model optimizes inference on edge devices and delivers competitive performance for multimodal tasks with reduced memory footprint.
Google releases Gemma 3n as open-source through Hugging Face. The model is integrated into major frameworks (Transformers, vLLM, Ollama) and available on the Hub with model cards and inference guides.
Google DeepMind introduces AlphaGenome, a unified DNA sequence model for AI-driven genomics. The tool predicts regulatory variant effects and advances understanding of genome function. Now available via API.
Google DeepMind launches Gemini Robotics On-Device, a lightweight AI model for local robotic devices with general-purpose dexterity and fast task adaptation without cloud dependency.
Hugging Face demonstrates fine-tuning FLUX.1-dev on consumer hardware using LoRA. The technique reduces VRAM requirements and enables adaptation of the image generation model without high-end GPUs.
Google DeepMind rolls out Gemini 2.5 Flash and Pro in general availability, and introduces 2.5 Flash-Lite, the fastest and most cost-efficient 2.5 model.
Google DeepMind releases Gemini 2.5 with three variants: Pro now stable, Flash generally available, and Flash-Lite in preview. Models show enhanced performance and accuracy.
Hugging Face and NVIDIA launch Training Cluster as a Service, a managed AI training platform. The service provides access to NVIDIA GPU infrastructure for training large-scale language and vision models with pay-as-you-go billing.
Hugging Face introduces Holo1, a family of vision language models for GUI automation. These VLMs power the Surfer-H GUI agent, capable of interpreting and interacting with screen elements to automate tasks.
Hugging Face introduces Tiny Agents, a minimal framework to build AI agents in ~70 lines of Python using the MCP protocol. The approach prioritizes simplicity and reproducibility without heavy dependencies.
Hugging Face releases nanoVLM, a minimal repository for training vision-language models in pure PyTorch. The tool simplifies VLM training without complex dependencies.
Google DeepMind announces Gemma 3n, an open multimodal model optimized for on-device inference. The 2-in-1 model supports audio, vision, and text with accelerated performance for real-time interactive applications.
Google DeepMind releases Veo 3 and Imagen 4, two generative media models, alongside Flow, a new filmmaking tool.
OpenAI releases Codex, a cloud-based coding agent powered by codex-1 (o3 variant optimized for software engineering). Trained via reinforcement learning on real-world coding tasks, it generates human-style code, follows precise instructions, and iteratively runs tests until passing.
Google DeepMind introduces AlphaEvolve, a Gemini-powered coding agent that automatically evolves algorithms for mathematics and computing applications. The system combines LLM creativity with automated evaluators to design advanced solutions.
Google DeepMind releases Gemini 2.5 Pro Preview ahead of schedule to deliver improved coding performance to developers sooner. The early release follows positive feedback from developers already using the model.
Meta releases Llama Guard 4 on Hugging Face Hub. This safety model evaluates risks in AI inputs and outputs, improving harmful content detection for generative AI applications.
Hugging Face introduces Tiny Agents, a functional AI agent implemented in 50 lines of code using the MCP (Model Context Protocol). This minimal example demonstrates how to build autonomous agents with a stripped-down architecture.
Google DeepMind releases Gemini 2.5 Flash, its first fully hybrid reasoning model enabling developers to toggle thinking mode on or off.
OpenAI releases o3 and o4-mini models combining advanced reasoning with full tool capabilities: web browsing, Python, image/file analysis, image generation, canvas, automations, file search, and memory.
Hugging Face introduces HELMET, a benchmark for evaluating language models on long-context tasks. The tool measures LLM ability to process and understand extended documents, addressing a gap in existing evaluation frameworks.
Google DeepMind integrates Veo 2 into Gemini Advanced and Whisk to generate 8-second videos from text prompts or images. Users can create high-resolution animated clips directly through these interfaces.
OpenAI releases GPT-4.1 in API with across-the-board improvements in coding, instruction following, and long-context understanding. Immediate global availability for developers, including first nano model.
Hugging Face acquires Pollen Robotics to commercialize open-source robots. The acquisition strengthens Hugging Face's position in the robotics ecosystem and combines AI expertise with robotic hardware.
Protect AI and Hugging Face scanned 4 million models over 6 months to detect malware and harmful content. Collaborative security initiative protecting the open-source AI ecosystem from model-related risks.
OpenAI introduces PaperBench, a benchmark measuring AI agents' ability to replicate state-of-the-art AI research. The test evaluates whether models can autonomously implement complex scientific papers.