OpenAI releases GPT-5.5 and GPT-5.5 Pro on Vercel AI Gateway. Both variants optimize long-horizon agentic work, coding, and research with improved token efficiency. GPT-5.5 Pro targets demanding multi-step workflows (legal, data science, research). Integration via standard OpenAI SDK.
DeepSeek-V4 achieves 1 million token context window usable by agents. The model improves long-context handling and multi-step task processing capabilities.
OpenAI releases GPT-5.5 System Card documenting model capabilities, limitations, and safety measures. Technical document covering performance benchmarks, identified risks, and deployed mitigations.
OpenAI releases GPT Image 2 on Vercel AI Gateway. The model generates images up to 2K resolution with detailed instruction following, precise object placement, dense text rendering, and multilingual support. Suitable for game prototyping, storyboarding, marketing creative, and specialized asset generation.
Kimi K2.6 from Moonshot AI is now available on Vercel AI Gateway. The model excels at long-horizon coding tasks (Rust, Go, Python, front-end, DevOps) and can generate complete interfaces from simple prompts. Optimized for autonomous agents with improved stability and safety.
Sentence Transformers adds native support for multimodal models (text + image) for training and fine-tuning embeddings and rerankers. The update includes code examples, pre-trained models, and performance benchmarks.
Google DeepMind releases Gemini 3.1 Flash TTS, a next-generation audio model with granular audio tags enabling precise control over expressive speech synthesis.
Google DeepMind releases Gemini Robotics-ER 1.6, enhancing spatial reasoning and multi-view understanding for autonomous robotics tasks in real-world environments.
Hugging Face releases multimodal embedding and reranker models integrated with Sentence Transformers. These models combine text and images to enhance semantic search and relevance ranking in RAG systems.
Safetensors, the model serialization format created by Hugging Face, officially joins the PyTorch Foundation. This integration strengthens standardization of storage formats for deep learning models.
Google DeepMind releases Gemma 4, its most capable open model series to date, purpose-built for advanced reasoning and agentic workflows.
Google DeepMind releases Gemma 4, a frontier multimodal model handling text, images, and video. Optimized for on-device inference, it delivers advanced reasoning capabilities and outperforms competing models on key benchmarks.
IBM and Hugging Face release Granite 4.0 3B Vision, a compact 3-billion-parameter multimodal model optimized for enterprise document analysis. The model combines vision and language capabilities to process images and text, designed for efficient deployment on resource-constrained hardware.
Hugging Face releases TRL v1.0, a post-training library for language model fine-tuning. Version 1.0 marks API stability and includes support for DPO, PPO, and optimizations for models like Llama and Mistral.
OpenAI releases GPT-5.4 mini and nano, smaller variants of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads. Targets cost-efficient inference at scale.
OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state. Full architecture for transforming models into autonomous agents.
OpenAI acquires Promptfoo, an AI security platform for identifying and remediating vulnerabilities in AI systems during development.
Hugging Face introduces Ulysses, a sequence parallelism technique for training models on million-token contexts. The method distributes attention computations across multiple GPUs without reducing batch size, improving memory efficiency and training speed.
LeRobot v0.5.0 scales across all dimensions: larger models, expanded datasets, multi-robot support, and training optimizations. The open-source robotics platform reaches production maturity with standardized benchmarks and modern architecture integration.
OpenAI releases System Card for GPT-5.4 Thinking, documenting advanced reasoning capabilities. Technical documentation covers benchmarks, limitations, and safety considerations for extended thinking system.
Hugging Face demonstrates training a full text-to-image model in 24 hours. PRX Part 3 details the infrastructure, optimizations, and techniques used to drastically reduce training time without sacrificing quality.
Google DeepMind releases Gemini 3.1 Flash-Lite, the fastest and most cost-efficient model in the Gemini 3 series. Optimized for large-scale inference with reduced latency and minimal costs.
Anthropic releases Claude Sonnet 4.5, its new model positioned as a leader in programming. The model improves code generation and reasoning capabilities compared to previous versions.
OpenAI stops evaluating on SWE-bench Verified, citing contamination and poor measurement of frontier coding progress. Analysis reveals flawed tests and training leakage. OpenAI recommends SWE-bench Pro instead.
Hugging Face welcomes GGML and llama.cpp into its ecosystem to secure long-term development of local AI. This integration strengthens collaboration between critical open-source projects for efficient inference on resource-constrained hardware.
Google DeepMind integrates Lyria 3, its most advanced music generation model, into the Gemini app. Users can create 30-second tracks from text or images.
OpenAI and Paradigm release EVMbench, a benchmark measuring AI agents' ability to detect, patch, and exploit high-severity smart contract vulnerabilities on EVM.
GPT-5.2 proposes a new gluon amplitude formula in theoretical physics. The formula was formally proved and verified by OpenAI and academic collaborators. Result published as preprint.
Transformers.js v4 is now available on NPM. This release brings performance improvements and compatibility enhancements to run transformer models directly in JavaScript on the client side.
Hugging Face launches Community Evals, a decentralized evaluation platform enabling the community to create and share transparent benchmarks for AI models, in response to limitations of closed leaderboards.
Hugging Face publishes a study on training design for text-to-image models based on systematic ablations. The article details critical architectural choices and hyperparameters for optimizing image generation quality.
OpenAI retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and o4-mini from ChatGPT on February 13, 2026, alongside previously announced GPT-5 (Instant, Thinking, Pro) retirement. API remains unchanged at this time.
OpenAI details PostgreSQL architecture serving 800 million ChatGPT users: replicas, caching, rate limiting, and workload isolation to handle millions of queries per second.
Google DeepMind introduces D4RT, a unified 4D reconstruction and tracking method that accelerates prior approaches up to 300x. The system captures object geometry and motion in videos with improved efficiency.
OpenAI introduces a framework and evaluation suite for chain-of-thought monitorability across 13 evaluations in 24 environments. Key finding: monitoring a model's internal reasoning is significantly more effective than monitoring outputs alone, enabling scalable control of advanced AI systems.
NVIDIA releases Nemotron 3 Nano, a language model optimized for inference, evaluated using NeMo Evaluator, an open-source benchmarking framework. The tool standardizes LLM evaluations across reasoning, generation, and instruction-following tasks.
Google DeepMind releases Gemma Scope 2, open-source interpretability tools for the entire Gemma 3 family. These resources enable the AI safety community to deeply analyze language model behavior.
OpenAI rolls out upgraded image generation model for ChatGPT with more precise edits, consistent details, and 4× faster generation. GPT-Image-1.5 available to all ChatGPT users and via API today.
OpenAI releases GPT-5.2, its most advanced frontier model for professional work, featuring improved reasoning, long-context understanding, coding, and vision capabilities. Available through ChatGPT and OpenAI API for faster, more reliable agentic workflows.
Google DeepMind releases FACTS, a benchmark suite for systematically evaluating the factuality of large language models. This standardized tool measures LLM ability to produce accurate and verifiable information.