engblogs

OpenAI Foundation mobilizes recapitalization to scale AI-driven advances in life sciences and disease cures, boost data-enabled health initiatives, and strengthen AI resilience and civil-society collaboration while addressing safety and governance.

OpenAI Foundation outlines a recapitalization-driven plan to invest at least $1 billion across life sciences, curing diseases, AI resilience, and community programs, building on a $25 billion commitment to curing diseases and AI resilience, with leadership hires and focused initiatives in Alzheimer’s, public health data, and biosecurity to advance AI for humanity while addressing emerging challenges.

Technical overview of implementing teen-focused AI safety through prompt-based policies and open-weight safeguards (gpt-oss-safeguard) with open-source collaboration, parental controls, and real-time/offline content filtering.

Describes the release of prompt-based teen-safety policies for the gpt-oss-safeguard open-weight model, guiding developers to implement age-appropriate protections and safer AI experiences through open-source tooling.

Technical overview of Sora's safety-by-design approach to AI video generation, detailing provenance signals, consent-based likeness, guardrails, teen protections, and user-controlled content moderation.

A technical overview of Sora's safety-first video generation, detailing provenance signals, consent-based likeness controls, teen safeguards, watermarking, and comprehensive content filtering.

Sora's safety-first approach to AI video generation is explored, detailing provenance signals with C2PA metadata and watermarks, consent-based likeness and character controls, teen protections, and layered content and audio safeguards.

Two experiments—breadboard and space-frame—probe how to reveal and edit the wiring of a UI by treating the DOM as a mutable substrate rather than hidden machinery.

Powerful agent development on Cloudflare with frontier open-source models like Kimi K2.5, detailing the end-to-end large-model inference stack, serverless deployment, and cost-efficient asynchronous workflows for enterprise agents.

Modular 26.2 unifies text, audio, and now image generation/editing under MAX, delivers 4x FLUX.2 speedups, and advances Mojo for AI-assisted, high-performance GPU-kernel development with new coding skills and open-source tooling.

AI Runtime enables on-demand, serverless GPU training and fine-tuning at scale on the Databricks Lakehouse, unifying interactive notebooks, distributed training across A10s and H100s, and end-to-end governance and observability with Lakeflow and Genie Code.

A concise guide to detecting and preventing misalignment in internal coding agents through monitoring, telemetry, governance, and automated safety controls.