engblogs

STADLER, a 230-year-old global recycler, embeds ChatGPT across 650 employees to evolve knowledge work into a scalable productivity layer, delivering 125+ custom GPTs and major time savings as AI shifts from assistant to execution across the organization.

STADLER’s 650-strong workforce now uses OpenAI-powered AI with 125+ custom GPTs to turn hours of knowledge work into minutes—delivering 30-40% time savings, 2.5x faster time-to-first draft, >85% daily active use, and a shift from industrial legacy to a company-wide, execution-oriented digital productivity layer.

STADLER embeds ChatGPT across 650 employees to turn hours of knowledge work into minutes, delivering 125+ custom GPTs and 30-40% time savings while evolving from a productivity tool to an execution layer across a 230-year-old industrial company.

Dispatch 015 spotlights PlayBook, a programmable-ink notebook that fuses paper-like handwriting with dynamic, composable components, propagator networks for visualizable computation, and a gesture-driven input system.

Practical composition of Structured Mojo Kernels on NVIDIA Blackwell, showing conv2d via TileIO swap and block-scaled matmul via TilePayload parameterization with zero-cost abstractions and localized changes.

Gemini 3.1 Flash Live delivers real-time, natural, multilingual voice-first AI with enhanced tonal understanding and robust reasoning, enabling faster, longer-context conversations and safer, watermark-protected audio across developers, enterprises, and everyday users.

OpenAI launches a public Safety Bug Bounty to identify AI abuse and safety risks across its products, with triage by Safety and Security teams, complementing the Security Bug Bounty, and inviting researchers to report actionable issues from agentic risks and prompt injection to data exfiltration and integrity violations to help build a safer AI ecosystem.

Explores OpenAI's Model Spec as a public, iterative framework that defines a Chain of Command, safety boundaries, and transparency-driven accountability for how AI should behave.

OpenAI launches a public Safety Bug Bounty to surface AI abuse and safety risks across products, detailing scope, triage, and how researchers can participate to help prevent real-world harm.

An in-depth look at OpenAI's Model Spec as a public, safety- and alignment-driven framework for defining model behavior, resolving instruction conflicts, and guiding iterative improvement through transparency and public feedback.

Technical overview of OpenAI's Safety Bug Bounty program, detailing how AI abuse risks are identified, triaged, and rewarded to improve safety and integrity across OpenAI products.

An open, iterative framework—the OpenAI Model Spec—that defines and communicates how AI should behave for safety, fairness, transparency, and public accountability across deployment, evaluation, and governance.