Introducing ChatGPT Pulse

Today we’re releasing a preview of ChatGPT Pulse to Pro users—a new experience where ChatGPT proactively does research to deliver personalized updates based on your chats, feedback, and connected apps. Each night ChatGPT learns what matters to you—pulling from memory, chats, and feedback—then delivers focused updates the next day. Expand updates to dive deeper, grab next steps, or save for later so you stay on track with clear, timely info. Pulse is the first step toward a more useful ChatGPT that proactively works on your behalf, and this preview lets us work with power users to learn, iterate, and improve before rolling it out more broadly.

Codex and the future of coding with AI — the OpenAI Podcast Ep. 6

What happens when AI becomes a true coding collaborator? OpenAI co-founder Greg Brockman and Codex engineering lead Thibault Sottiaux talk about the evolution of Codex—from the first glimpses of AI writing code, to today’s GPT-5 Codex agents that can work for hours on complex refactorings. They discuss building “harnesses,” the rise of agentic coding, code review breakthroughs, and how AI may transform software development in the years ahead. Chapters 1:15 – The first sparks of AI coding with GPT-3 4:00 – Why coding became OpenAI’s deepest focus area 7:20 – What a “harness” is and why it matters for agents 11:45 – Lessons from GitHub Copilot and latency tradeoffs 16:10 – Experimenting with terminals, IDEs, and async agents 22:00 – Internal tools like 10x and Codex code review 27:45 – Why GPT-5 Codex can run for hours on complex tasks 33:15 – The rise of refactoring and enterprise use cases 38:50 – The future of agentic software engineers 45:00 – Safety, oversight, and aligning agents with human intent 51:30 – What coding (and compute) may look like in 2030 57:40 – Advice: why it’s still a great time to learn to code

Build Hour: Codex

Codex is now one agent for everywhere you code — connected by your ChatGPT account. This Build Hour is a hands-on walkthrough of how to use all its features, including the new IDE extension and code review. Dominik Kundel (Developer Experience) and Pranav Deshpande (Product Marketing) cover: - What’s new with Codex? IDE extension, revamped Codex CLI, code review, and local to cloud handoffs - How Codex works: where you can use it, and where it runs - Live demos for pair programming with Codex CLI and IDE extension - Best practices for structuring your codebase and delegating tasks to the - Codex cloud agent - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Codex docs: https://developers.openai.com/codex 👉 Agents.md: https://agents.md/ 👉 Codex CLI repo: https://github.com/openai/codex 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/

Lowe’s gets answers faster with GPT-5

Lowe’s has built their AI strategy around three pillars: "how we shop", "how we sell", and "how we work". GPT-5 can help all three pillars by holding context longer, applying reasoning across multiple inputs, and reducing the number of steps needed to get to the right answer. Hear more from Chandhu Nair, Senior Vice President of Data, AI, and Innovation at Lowe’s.

GPT-5 reshapes how teams work at Moderna

At Moderna, scientists who have never written code are generating algorithms in minutes in plain English using GPT-5. In this short video, Brice Challamel, Head of AI Products & Innovation, shows where GPT-5 is already influencing his work.

Build Hour: GPT-5

GPT-5 is OpenAI’s most steerable reasoning model yet. This Build Hour walks through its new capabilities, how to use it in the Responses API, and practical prompting techniques for coding and agentic tasks. Bill Chen (Applied AI), Eric Han (Research), and Anoop Kotha (Applied AI) cover: - GPT-5 capabilities: stronger code quality, front-end/UI generation, agentic task reliability - New parameters: minimal reasoning, verbosity, and free-form function calling - Live demo: building a Minecraft clone using GPT-5 in the Responses API - Prompting best practices: avoiding conflicting instructions, meta prompting, and controlling agentic behavior - Customer spotlight: Charlie Labs shows how they built an autonomous coding agent that works directly in GitHub and Slack workflows (https://www.charlielabs.ai/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 GPT-5 Docs: https://platform.openai.com/docs/models/gpt-5 👉 Prompt Optimization Cookbook: https://cookbook.openai.com/examples/gpt-5/prompt-optimization-cookbook 👉 Prompting Guide: https://cookbook.openai.com/examples/gpt-5/gpt-5_prompting_guide 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Built-In Tools

Built-in tools let you extend models out of the box without writing custom functions. This Build Hour shows you how to use web search, file search, code interpreter, MCP, and image generation directly with the Responses API, with demos of adding these tools to real applications. Katia Gil Guzman (Developer Experience) covers: - What are built-in tools? How do they compare to function calling? - Available tools: web search, file search, MCP, code interpreter, computer use, image generation - Playground demo: experimenting with tools in (https://platform.openai.com/chat) - Live demo: building a data exploration dashboard using MCP, web search, and code interpreter - Why use built-in tools? Minimal coding, functionality out-of-the-box, and ability to combine tools - Customer spotlight: Hebbia’s use of web search for finance and legal workflows (https://www.hebbia.com/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Playground: https://platform.openai.com/chat 👉 Built-In Tools Guide: https://platform.openai.com/docs/guides/tools 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Voice Agents

Voice agents don’t just transcribe anymore — they think, talk, and call tools in real time. This Build Hour demos speech-to-speech agents built with the Realtime API and Agents SDK that can handle conversations natively in audio, reason about context, and call tools while streaming speech back to the user. Brian Fioca and Prashant Mital (Applied AI) cover: - Why voice agents now: APIs to the real world, expressive + accessible interactions - Architectures: chained speech-to-text vs. end-to-end speech-to-speech models - Live demo: building a voice-powered workspace manager + designer agent with handoffs - Best practices: evals, guardrails, and delegation - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Check out the voice agents guide: https://platform.openai.com/docs/guides/voice-agents 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Reinforcement Fine-Tuning

Reinforcement fine-tuning (RFT) lets you improve how models reason by training with graders instead of large labeled datasets. This Build Hour shows you how to set up tasks, design grading functions, and run efficient training loops with just a few hundred examples. Prashant Mital and Theophile Sautory (Applied AI) cover: - Intro to RFT: optimization, fine-tuning options, RFT benefits - Task setup: prompts, graders, and training and validation data - Live demo: building and running RFT for a classification task - RFT workflow: from dataset selection to evaluating and iterating - Customer spotlight: Accordance uses RFT models for tax and accounting workflows (https://accordance.com/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 RFT Cookbook: https://cookbook.openai.com/examples/reinforcement_fine_tuning 👉 RFT Use Case Guide: https://platform.openai.com/docs/guides/rft-use-cases 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Agentic Tool Calling

In 2025, agents don’t just think — they run code, call tools, and complete tasks. This Build Hour is a hands-on walkthrough of how to design agentic systems that reason and act using OpenAI’s latest APIs and SDKs. Ilan Bigio (Developer Experience) covers: - What’s new in 2025: Responses API, Agents SDK, Hosted Tools, Codex, and more - Chain of thought concepts: reasoning, tool calling, and long-horizon tasks - Live demo: building an agentic task system to process a backlog of tickets - Delegation: directional guidance for evals - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Check out additional resources: https://developers.openai.com/ 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Image Gen

Over 130M people created images with Image Gen in its first week inside ChatGPT. Now, with Image Gen in the API, developers can build the same capabilities directly into their own apps and platforms.This Build Hour walks through gpt-image-1 in the API, with demos on streaming, editing, and masking for real-world apps. Bill Chen (Applied AI) covers: - What’s new: text rendering, world knowledge, image inputs - New capabilities: streaming, multi-turn editing, masking - Best practices: picking the right API (image vs responses), customizing outputs, handling latency & UX tradeoffs - Live demo: building an AI-powered photobooth from scratch - Customer spotlight: create AI presentations using Gamma (https://gamma.app/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Check out the Image Gen Guide: https://platform.openai.com/docs/guides/image-generation 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Bain accelerates client value with GPT-5

Bain & Company has embedded GPTs across its business, with dozens of proprietary applications and nearly 25,000 custom versions in use. Gene Rapoport, Partner & AI Leader in the Private Equity practice, shares how GPT-5 drives better outputs — and improved client results — by powering everything through one consistent, flexible model.

OpenAI to Z Challenge

10,000+ people joined the OpenAI to Z Challenge to explore how AI can push the archaeological frontier in the Amazon. The winner is Team Black Bean, which used deep learning on public LiDAR + satellite data to build maps that surface what's under rainforest canopies. ➡️ Black Bean’s submission: https://www.kaggle.com/competitions/openai-to-z-challenge/writeups/amazon-archeological-site-discovery-a-deep-learnin

Introducing gpt-realtime in the API

Join Brad Lightcap, Peter Bakkum, Beichen Li, Liyu Chen, Julianne Roberson, and Srini Gopalan as they introduce and demo our most advanced speech-to-speech model and new API features like MCP, SIP, image input, and more.

Canva prototypes faster with GPT-5

Canva has always used AI to make design more accessible. CJ Jones, Canva’s Global Head of Design, GenAI, is using GPT-5 to prototype new features like polls and quizzes, and build faster for 100+ languages. Hear more in this short clip.

Uber uses GPT-5 to balance speed and quality

Uber's early explorations with GPT-5 have shown the potential to deliver richer responses that feel more natural and helpful. Hear more from Jai Malkani, Uber’s Global Head of AI & Product, Customer Obsession, in this short video.

AGI progress, surprising breakthroughs, and the road ahead — the OpenAI Podcast Ep. 5

How close are we to automating scientific discovery? What do AI competition wins really tell us about progress toward AGI? OpenAI Chief Scientist Jakub Pachocki and researcher Szymon Sidor share inside stories—from gold medals at the International Math Olympiad to surprising leaps in reasoning—that reveal where AI is headed next. Chapters 1:20 – From high school in Poland to AI research leaders 4:50 – Explaining AGI: technical and everyday perspectives 6:30 – Automating scientific discovery with AI 7:50 – Breakthroughs in medicine, AI safety, and alignment 10:30 – Today is a decade in the making 14:30 – Benchmark saturation and its limits 16:50 – Why math competitions matter for AI 18:15 – How models reason without tools 21:45 – Recognizing when a model can’t solve a problem 23:30 – Storytime: AtCoder competition in Japan 26:50 – How reasoning breakthroughs really happen 28:55 – What’s next for scaling and long-horizon reasoning 30:30 – What AGI will look and feel like 36:25 – Balancing trust and personal value 34:00 – Advice to high school students in 2025

Introducing GPT-5

Introducing GPT-5, our best AI system yet! GPT-5 features state-of-the-art performance across coding, math, writing assistance, health, visual perception, and more. Use GPT-5 to build websites, create apps, and tap into its improved writing capabilities to help with everyday tasks like reports, emails, and editing. GPT-5 is also our best model yet for health-related questions, empowering users to be informed about and advocate for their health. GPT‑5 is rolling out to all users starting today.

Introducing GPT-5

Join Sam Altman, Greg Brockman, Sebastien Bubeck, Mark Chen, Yann Dubois, Brian Fioca, Adi Ganesh, Oliver Godement, Saachi Jain, Christina Kaplan, Tina Kim, Elaine Ya Le, Felipe Millon, Michelle Pokrass, Jakub Pachocki, Max Schwarzer, Rennie Song, Ruochen Wang as they introduce and demo GPT-5.

Delegate work to ChatGPT agent

See ChatGPT agent in action — researching, coding, and taking action online to complete an ecommerce business plan in minutes. In this demo, you’ll watch it: - Find ecommerce and health industry reports - Gather and organize data in a spreadsheet - Build charts and a customizable business plan calculator - Create a polished research report - Navigate websites, sign up for newsletters, and adapt steps automatically You’ll also see how to stay in control at any time — guiding, interrupting, or taking over tasks — and how ChatGPT agent decides the best tools to use for each step. Learn more | Help documentation: https://help.openai.com/en/articles/11752874-chatgpt-agent Try now | Get started with ChatGPT agent: https://bit.ly/4msnLyf With ChatGPT agent, you can hand off hours of work and come back to ready-to-review results — freeing up time for what matters most.

Real Talk: ChatGPT Study Mode

Leah Belsky on how AI is transforming education — the OpenAI Podcast Ep. 4

AI is redefining how we learn — from personalized tutoring to entirely new teaching models. OpenAI’s Head of Education, Leah Belsky, joins host Andrew Mayne to discuss what this shift means for students, educators, and society. Special guests include college students Yabsera and Alaap, who share their perspectives on learning in the AI era. 00:22 – Leah’s path to OpenAI & the moonshot 01:40 – ChatGPT as a global learning platform—countries lean in 03:50 – Universities: equal access, trust, and adoption 05:12 – From AI detectors to better policy and practice 06:50 – Study Mode explained 09:51 – AI as a tutor that builds confidence 11:35 – Workforce skills graduates need 14:15 – The great brain rot debate 18:00 – A personal learning anecdote 19:30 – Meet the students 21:30 – First experiences with AI 25:25 – How professors are adapting 29:28 – Trying Study Mode 33:20 – ChatGPT vs. social media 41:43 – Cheating, challenges, and advice for students 49:24 – The future of learning with AI

Introducing ChatGPT Study Mode

Introducing study mode in ChatGPT — a learning experience that helps you work through problems step-by-step instead of just getting an answer. Built in collaboration with educators and experts, study mode is our first step toward improving learning in ChatGPT.

5 More ChatGPT Prompts to Add to Your Collection

ChatGPT ‘Day In My Future Life’ Trend

Have you tried it yet? 🎥: Angelica Georges

Say hello to ChatGPT agent.

ChatGPT can now do work for you using its own computer—from booking appointments and dinner reservations to building slideshows and reports—so you can focus on what really matters. Rolling out to Plus, Pro, and Team users.

ChatGPT agent Does Research & Action

ChatGPT agent Customization

ChatGPT agent can be customized based on your connectors to make smarter decisions and take better actions on your behalf.

ChatGPT agent Makes Spreadsheets

ChatGPT agent can fetch the data, generate the spreadsheet, and schedule it to run again—automatically.

ChatGPT can Research & Action on Tasks

ChatGPT agent can browse the web, book appointments, and make purchases like you would—searching, scrolling, and clicking.

ChatGPT agent Makes Slideshows

ChatGPT agent is your one-stop shop for fully editable presentations.

Introduction to ChatGPT agent

Begins at 10am PT Join Sam Altman, Casey Chu, Isa Fulford, Yash Kumar, and Zhiqing Sun as they introduce our unified agentic model in ChatGPT.

Here's how to make these in ChatGPT

1. Upload a picture of yourself/subject using the ✚ button in ChatGPT. 2. Ask chat for: ➡️ A black and white close-up portrait with visible water droplets and small bubbles on the face like the subject just emerged from water. The mood should feel intense and cinematic, with a dark, minimal background.

What's an AI Agent?

What can you expect from AI agents? OpenAI COO Brad Lightcap explains on episode 3 of the OpenAI Podcast—out now.

Brad Lightcap and Ronnie Chatterji on jobs, growth, and the AI economy — the OpenAI Podcast Ep. 3

The future of work is arriving faster than expected. In this episode, OpenAI COO Brad Lightcap and Chief Economist Ronnie Chatterji join Andrew Mayne to discuss the impacts of AI on software, science, small business, education, and jobs. 00:00 Intro 02:00 Birth of ChatGPT: from playground to product 06:15 AI’s impact on work & productivity 08:55 Supercharging science with AI 09:55 Small teams with big leverage 13:10 What sectors are next? 17:05 Defining AI agents 22:08 AI in emerging markets & agriculture 25:53 Return of the “Idea Guy” 28:20 Why EQ and soft skills matter 31:35 Education for the AI era 36:11 Partnering with Cal State & educators 39:14 From bans to buy-in in schools 42:00 Ronnie’s research: sectors, geography, communication 45:46 What should we tell our kids? 48:14 What history teaches us about disruption 52:04 Expanding participation in the economy 55:35 AI increases demand 59:19 Why OpenAI will grow after AGI 1:02:05 Favorite ChatGPT use cases

It speaks!

Steps to access different voice options: 1️⃣ Tap the voice mode button (wave icon next to microphone) in the lower right. 2️⃣ Once voice mode opens up, click the voice selector in the upper right of the screen (it kind of looks like a filter icon and is the one on the very right). 3️⃣ Swipe through the different voices to find your favorite.

OpenAI 🤝 @teamganassi

Congrats on an amazing IndyCar weekend for Alex Palou! 📸: Larry Chen

ChatGPT almost wasn't named ChatGPT

Head of ChatGPT Nick Turley talks about the days leading up to the launch of ChatGPT on episode 2 of the OpenAI Podcast. Watch the full episode here: https://www.youtube.com/watch?v=atXyXP3yYZ4

Inside ChatGPT, AI assistants, and building at OpenAI — the OpenAI Podcast Ep. 2

Why was OpenAI surprised by ChatGPT’s success? What does it really mean to “reason” in an AI system? And what’s next for agentic coding and multimodal assistants? OpenAI Head of ChatGPT Nick Turley and Chief Research Officer Mark Chen unpack it all in a conversation that pulls back the curtain on the making of OpenAI’s most iconic product. 00:00 Intro: Meet Nick Turley and Mark Chen 00:40 Origin of the name "ChatGPT" 03:50 ChatGPT’s viral takeoff 07:00 Internal debate before launch 9:40 Evolution of OpenAI’s launch approach 11:00 The sycophancy incident and RLHF 14:45 Balancing usefulness vs. neutrality in model behavior 20:00 Memory and the future of personalization 22:50 ImageGen’s breakthrough moment 29:00 Cultural shifts in safety and the freedom to explore 33:10 Code, Codex, and the rise of agentic programming 37:45 Coding with taste 41:45 Internal adoption of Codex 43:40 Skills that matter: curiosity, agency, adaptability 46:45 OpenAI’s “Do Things” culture 51:30 Adapting to an AI future 55:15 The opportunities ahead: healthcare, research 01:01:00 Async workflows and the superassistant 01:05:40 Favorite ChatGPT tips

A quick guide | How to search in ChatGPT

UCLA student shares how he was using ChatGPT

If ChatGPT were your wingman…

🎥: @Under25

The real ways college students use ChatGPT

The real ways college students use ChatGPT

Sam Altman on AGI, GPT-5, and what’s next — the OpenAI Podcast Ep. 1

On the first episode of the OpenAI Podcast, Sam Altman joins host Andrew Mayne to talk about the future of AI: from GPT-5 and AGI to Project Stargate, new research workflows, and AI-powered parenting. 00:00 Welcome to the OpenAI Podcast 01:00 ChatGPT & parenthood 04:10 AGI, superintelligence & scientific progress 07:10 Operator, Deep Research & productivity 10:30 GPT-5 & how we name models 13:40 User privacy & NYT lawsuit 16:15 Will ChatGPT ever show ads? 20:30 Social media & user behavior 23:25 Project Stargate & why compute matters 31:30 Future progress & potential new AI devices 38:45 Final thoughts

Deploying AI: How businesses worldwide are succeeding with OpenAI

See how leading companies are using OpenAI in production and driving results across industries.

What was the last thing you ChatGPT'd?

🎥: @Under25

ChatGPT for Business Updates

Nate Gonzalez, Preeti Iyer, Neel Ajjarapu, Sondra Batbold, and Dibya Bhattacharjee introduce and demo several updates to ChatGPT business plans—including connectors to your company knowledge, custom connectors through MCP, record mode, and flexible pricing.

Sam & Jony introduce io

Building a family of AI products for everyone.

Codex CLI with codex-mini

Fouad Matin, Hyung Won Chung, and Anup Krishnamraju demo the latest updates to Codex CLI: Sign in with ChatGPT and a new model, codex-mini, optimized for low-latency code Q&A and editing.

Building faster with Codex

See how OpenAI engineer Nacho Soto can build faster with Codex, letting him start with pre-drafted PRs and kick off tasks from anywhere. Read more about Codex, a cloud-based software engineering agent, in our blog: http://openai.com/index/introducing-codex/

Fixing papercuts with Codex

See how OpenAI engineer Max Johnson can finally get to fixing papercuts, rather than letting them accumulate into tech debt. Read more about Codex, a cloud-based software engineering agent, in our blog: http://openai.com/index/introducing-codex/

On call with Codex

See how OpenAI engineer Calvin French-Owen uses Codex when he's on call to triage issues and prioritize bug fixes, to help him stay focused on product work. Read more about Codex, a cloud-based software engineering agent, in our blog: http://openai.com/index/introducing-codex/

A research preview of Codex in ChatGPT

Greg Brockman, Jerry Tworek, Joshua Ma, Hanson Wang, Thibault Sottiaux, Katy Shi, and Andrey Mishchenko introduce and demo Codex in ChatGPT.

Personalize ChatGPT with custom instructions

With custom instructions, ChatGPT becomes more relevant to your day-to-day. In this demo, we show how to personalize how ChatGPT responds, delivers work, and explains concepts. Ideal for teams that need consistency, speed, and high-quality outputs at scale. 🔗 Get started: OpenAI for Business [https://openai.com/business/] ❓FAQs: Help center [https://help.openai.com/en/articles/8096356]

Run faster code reviews with deep research for GitHub

ChatGPT's deep research integration with GitHub can run code reviews. This demo walks through how ChatGPT analyzes pull requests, identifies potential improvements, spots bugs, and suggests fixes in minutes. Built for software engineers, development teams, or product leads who want more efficient, and higher-quality code reviews. 🔗 Get started: OpenAI for Business [http://bit.ly/43exn7L] ❓ FAQs: Help center [https://help.openai.com/en/articles/11145903-connecting-github-to-chatgpt-deep-research]

Moms use ChatGPT for the first time #Shorts

We love our moms and our moms love ChatGPT. 🎥: The offspring of these great moms... (From TikTok) @easae__ @alextench @rheaelizza @blackgirlslikeanime @annaaab20 @clairewilliams411

Moms use ChatGPT for the first time #Shorts

We love our moms and our moms love ChatGPT. 🎥: The offspring of these great moms... (From TikTok) @easae__ @alextench @rheaelizza @blackgirlslikeanime @annaaab20 @clairewilliams411

Collaborate and write with GPT-4o

Explore how GPT‑4o makes writing and collaboration more natural. This demo shows how ChatGPT drafts, refines, and adjusts tone—enabling teams to create clear, professional content in less time. Built for marketing, comms, and strategy teams that rely on fast, effective writing. 🔗 Get started:OpenAI for Business [https://openai.com/business/] ❓ FAQs: Help center [https://help.openai.com/en/articles/9624314-model-release-notes]