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Expands OpenAI Daybreak with Daybreak Blue and Daybreak Red access tiers and introduces GPT-5.6-Cyber to empower authorized defenders with frontier AI for defensive security tasks, including vulnerability discovery, exploit validation, incident response, and secure code review, while implementing safeguards and governance to prevent misuse.

OpenAI's experience shows how to build an AI-native finance function: five practical lessons for CFOs to redesign work around AI, achieving a zero-day close, continuous forecasting, and live decision-support tools.

Expands Daybreak Cyber Partner Program to deliver OpenAI's frontier cyber models through trusted security partners, accelerating vulnerability discovery, validation, and remediation across enterprises.

Model ML uses GPT-5.6 Sol to automate finance workflows, delivering editable PowerPoint and Excel outputs with fewer tokens per deck and faster tearsheets.

Practical guidance for CFOs on building an AI-native finance function that delivers real-time insights, a zero-day close, and continuously updated forecasting through custom AI tools and live dashboards.

OpenAI outlines its commitment to responsible AI infrastructure in Texas and its intent to collaborate with state and local leaders, utilities, and communities to deliver meaningful benefits to Texans.

Model ML uses GPT-5.6 Sol to automate finance workflows from research to editable PowerPoint and Excel outputs, delivering 21% fewer tokens per deck and faster tearsheet creation.

OpenAI outlines its commitment to responsible AI infrastructure development in Texas, emphasizing collaboration with state and local leaders, utilities, and communities to deliver meaningful benefits to Texans.

GeoPT enables physics-informed pre-training of AI simulators through synthetic dynamics, delivering faster, data-efficient 3D simulations that generalize to a wider range of real-world scenarios.

GeoPT accelerates physics-aware AI simulations by pretraining on synthetic dynamics to teach models 3D physical reasoning with less data, enabling faster, more accurate predictions for vehicles, wind, and robotics.

Introducing Google Cloud's Developer Device Platform for agentic mobile app development, providing on-demand access to real devices and high-concurrency emulators for interactive debugging and parallel testing across devices.

Public preview of Google Cloud's Developer Device Platform (DDP) enables agentic mobile app development with real devices and high-concurrency emulators, featuring Device Streaming for interactive debugging and Device Run for parallel testing, plus smart sharding and on-device AI insights.