engblogs

A technical exploration of how Uber integrates OpenAI and large language models to power real-time AI assistants and voice experiences that optimize driver earnings and rider bookings.

Frontier firms are pulling ahead by embedding deeper AI usage per worker, deploying agentic tools like Codex, and weaving AI into production workflows to scale enterprise impact.

A concise look at the inaugural ChatGPT Futures Class of 2026, showcasing AI-enabled student innovation, rapid prototyping, and education reshaped by curiosity and agency.

Singularity, an internal AI assistant powered by ChatGPT and Codex, enables real-time portfolio analysis, actionable next steps, and auto-generated client communications to cut prep time and boost bankers' advisory focus in private banking.

Technical overview of Uber's integration of OpenAI and frontier models to power Uber Assistant, voice interfaces, and multi-agent orchestration in a global real-time marketplace, enabling faster bookings, smarter earnings, and safer, low-latency AI interactions.

Frontier firms are pulling ahead by embedding deeper AI usage into workflows and shifting from chat-based assistance to delegated, agentic work powered by advanced tools like Codex.

A concise guide to how ChatGPT learns from diverse data while protecting privacy, detailing training workflows, privacy safeguards like the Privacy Filter, and user controls over data, memory, temporary chats, and privacy requests.

A case study of how the ChatGPT Futures Class of 2026 mobilizes AI-driven student projects across universities to accelerate learning, collaboration, and rapid prototyping.

Uber leverages OpenAI's LLMs and frontier models to power Uber Assistant—an AI-driven, voice-enabled, real-time system that helps drivers earn smarter and riders book faster via multi-agent orchestration and governance.

Singularity, Singular Bank's internal assistant powered by ChatGPT and Codex, analyzes portfolios in real time, suggests next actions, drafts compliant follow-ups, and saves bankers 60-90 minutes per day to deepen client advisory.

Frontier firms are pulling ahead by embedding deeper, production-grade AI into workflows, adopting agentic tools like Codex, and shifting from chat-based help to delegated, end-to-end work.

Concise overview of how ChatGPT learns about the world through model training while protecting privacy, detailing data sources, privacy safeguards like Privacy Filter, and user controls such as data controls, temporary chats, and memory features.