44 articles
OpenAI releases gpt-realtime, an advanced speech-to-speech model, with new API capabilities: MCP server support, image input, and SIP phone calling. Major Realtime API update enabling voice and multimodal integrations.
OpenAI launches $50M People-First AI Fund to support U.S. nonprofits scaling AI impact. Applications open Sept 8–Oct 8, 2025 for grants across education, healthcare, research, and social impact sectors.
OpenAI surveyed 1,000+ people globally on desired AI behavior and compared responses to its Model Spec. The "collective alignment" initiative aims to shape AI defaults to reflect diverse human values and perspectives.
OpenAI and Anthropic release findings from their first joint safety evaluation, testing each other's models for misalignment, instruction following, hallucinations, and jailbreaking. Rare cross-lab collaboration effort on AI safety.
OpenAI outlines safety principles for users experiencing mental or emotional distress, acknowledging current system limitations and ongoing refinement work. No specific models or metrics disclosed.
OpenAI announces the Learning Accelerator, an acceleration program for AI startups. The program provides access to OpenAI models, API credits, and mentorship. Full details on eligibility criteria and terms not provided in the excerpt.
OpenAI and Retro Bio used GPT-4b micro to design more effective proteins for stem cell therapy and longevity research. The specialized model accelerated protein engineering in life sciences.
Blue J leverages GPT-4.1 and RAG to automate tax research with cited, verified answers. Deployed with professionals in US, Canada, and UK. Combines domain expertise with retrieval-augmented generation for complex regulated domains.
NVIDIA releases a 6 million example multilingual dataset for reasoning training. The dataset spans multiple languages and aims to improve language model reasoning capabilities.
MIXI, Japan's digital entertainment and lifestyle leader, deploys ChatGPT Enterprise to boost productivity and AI adoption across teams. The company creates a secure innovation environment; no metrics or scale details provided.
Anthropic and Hugging Face integrate image generation into Claude via Hugging Face API. Users can create images directly in Claude conversations using models like Flux and Stable Diffusion.
DoorDash is scaling AI adoption to empower employees to build, learn, and innovate faster, per Chief People Officer Mariana Garavaglia. The delivery company uses AI tools to accelerate internal productivity and organizational learning. No specific metrics or technical details disclosed.
Practical guide to developing and deploying production-ready CUDA kernels. Covers GPU optimization, scaling patterns, and implementation best practices to maximize performance.
Hugging Face introduces MCP (Model Context Protocol) for research, enabling AI models to connect with scientific tools. The protocol standardizes integration between AI assistants and research databases, analysis software, or research platforms.
Hugging Face introduces Kimina-Prover-RL, a mathematical proof model trained via reinforcement learning. The system combines code generation and formal verification to solve complex mathematical problems with automated validation.
Arm and ExecuTorch 0.7 optimize generative AI model deployment on mobile and edge devices. The collaboration improves inference performance to make generative AI accessible at scale on resource-constrained hardware.
Hugging Face announces Neural Super Sampling, a neural network-based upscaling technique to improve visual quality. The method enables image upscaling with better detail preservation compared to traditional approaches.
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.
Basis launches AI agents built on o3, o3-Pro, GPT-4.1, and GPT-5 for accounting firms, reducing work time by 30% and freeing capacity for advisory services. OpenAI highlights this production use case.
OpenAI sends letter to California Governor Gavin Newsom urging the state to harmonize AI regulation with national and emerging global standards, leveraging US leadership position.
Hugging Face evaluates LLM capabilities on text-based video games through TextQuests. The study measures performance of models like GPT-4, Claude, and Gemini on interactive environments requiring comprehension, planning, and adaptation.
Replicate launches a remote MCP server enabling users to discover, compare, and run models from Claude, Cursor, and VS Code.
Hugging Face introduces AI Sheets, a tool for working with datasets using open AI models. The tool integrates open-source models for data analysis and manipulation directly within a spreadsheet interface.
Hugging Face releases a guide on ND-Parallel, an efficient multi-GPU training technique. The method optimizes distributed resource utilization to accelerate large-scale model training.
OpenAI launches GPT-5 on API platform with advanced reasoning capabilities, new developer controls, and top performance on real-world coding tasks. No technical details or benchmarks disclosed in announcement.
GPT-5 unlocks new capabilities in coding and design. OpenAI presents practical applications of the model for these domains without specific technical details or measurable benchmarks.
GPT-5 is being applied to medical research for clinical data analysis and hypothesis generation. OpenAI showcases use cases without providing quantified benchmarks or reproducible results.
Cursor integrates GPT-5 in its code editor. The article details technical implementation and use cases. No performance metrics or benchmarks provided.
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.
Hugging Face integrates vision-language model alignment into TRL. The update enables training VLMs with advanced alignment techniques, extending the library's capabilities beyond pure text.
Amgen deploys GPT-5 in its operations. The article outlines use cases at the pharmaceutical giant. No specific metrics or results provided in the excerpt.
OpenAI introduces output-centric safety training for GPT-5, replacing hard refusals with nuanced responses. The "safe-completions" approach improves both safety and helpfulness on dual-use prompts, though specific benchmarks and technical details are not disclosed in the excerpt.
OpenAI announces GPT-5, described as a significant leap in intelligence over previous models, with state-of-the-art performance in coding, math, writing, health, and visual perception. No specific benchmarks, availability date, or technical details provided in the announcement.
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-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 its most capable open-weights models to democratize access to advanced AI. The initiative aims to make AI capabilities available to a broader audience beyond proprietary API users. No technical details or benchmarks provided in the announcement.
OpenAI studies worst-case frontier risks of releasing open-weight models through malicious fine-tuning (MFT) on gpt-oss. Experiment tests maximum capabilities after adversarial fine-tuning in biology and cybersecurity domains. Risk boundary assessment for open-source LLMs.
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.
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.
Hugging Face evaluates open-source Llama Nemotron models on DeepResearch Bench, a benchmark measuring deep research capabilities. Results show relative performance of different model versions on complex analysis and reasoning tasks.
OpenAI outlines ChatGPT optimization priorities: enhanced emotional support during difficult moments, break reminders, and improved life advice informed by expert input. No technical details or impact metrics disclosed.
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.
Figma integrates AI through "Figma Make" to accelerate prototyping and collaboration across designers, developers, and non-technical users. David Kossnick (OpenAI) outlines how these tools reshape digital design workflows.
Practical guide on using Veo 3 with image inputs. Demonstrates current AI video generation capabilities and associated prompting techniques.