Last updated: 2026/01/08 05:00
We’re introducing ChatGPT Health, a dedicated experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared, and confident navigating your health. When you choose to connect your health data, such as medical records or wellness apps, your responses are grounded in your own health information. You can also connect your Apple Health information and other wellness apps, such as Function, MyFitnessPal, Peloton. Apps may only be connected to your health data with your explicit permission, even if they’re already connected to ChatGPT for conversations outside of Health. And you’re always in control: disconnect an app at any time and it immediately loses access.
We’re introducing ChatGPT Health, a dedicated experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared, and confident navigating your health. Health conversations feel just like chatting with ChatGPT—but grounded in the information you’ve connected. You can upload photos and files and use search, deep research, voice mode and dictation. When relevant, ChatGPT can automatically reference your connected information to provide more relevant and personalized responses. For example, you might ask: “How’s my cholesterol trending?” or “Can you summarize my latest bloodwork before my appointment?”
We’re introducing ChatGPT Health, a dedicated experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared, and confident navigating your health. With Health, ChatGPT can help you understand recent test results, prepare for appointments with your doctor, get advice on how to approach your diet and workout routine, or understand the tradeoffs of different insurance options based on your healthcare patterns. Join the waitlist: https://chatgpt.com/health/waitlist
We’re introducing ChatGPT Health, a dedicated experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared, and confident navigating your health. Health is designed to support, not replace, medical care. It is not intended for diagnosis or treatment. Instead, it helps you navigate everyday questions and understand patterns over time—not just moments of illness—so you can feel more informed and prepared for important medical conversations. Join the waitlist: https://chatgpt.com/health/waitlist
Burt uses ChatGPT to navigate life with two forms of cancer, supporting him in understanding scans, preparing for appointments, and explaining complex medical information to family.
Living with heart failure, Steve uses ChatGPT to carry out his doctor’s care plan by tracking his diet, medications, and inflammation.
As a mom of two toddlers, Lauren uses ChatGPT to find time for herself through flexible workouts that fit into the unpredictable rhythms of her busy life.
By rolling out ChatGPT Enterprise across its workforce, CBA is improving how teams work and deliver better outcomes for customers. Hear more from CEO Matt Comyn in this short video.
See how AI literacy scales across the enterprise when learning is built into the work. 20,000 BNY employees have created their own agents to build and update learning content. Get the full story at https://openai.com/index/bny/
See how AI gives teams more time for what matters most: BNY's clients. With deep research, advisors can cut planning time by 60% and use that time to deliver even more relevant and timely client experiences. Get the full story at https://openai.com/index/bny/
ChatGPT helps members of BNY's Legal team cut contract review time by up to 75%. Get the full story at https://openai.com/index/bny/
Leaders at BNY share how they put AI directly into the hands of employees across the firm, powering Eliza 2.0 and enabling secure, responsible AI at scale. Get the full story at https://openai.com/index/bny/
Every day, millions of people ask ChatGPT about their health – from breaking down medical information, preparing questions for their doctor’s appointments, to helping people manage their overall wellbeing.
![Building Jarvis: MCP and the future of AI with Kent C Dodds [REPEAT]](https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/3/3911462c-bca2-48c2-9103-610ba304c673/episodes/9/90da0a21-a74d-4e5a-bdde-f2631702a1ae/cover_medium.jpg?v=1)
In this repeat episode, Kent C. Dodds came back on to the podcast with bold ideas and a game-changing vision for the future of AI and web development. In this episode, we dive into the Model Context Protocol (MCP), the power behind Epic AI Pro, and how developers can start building Jarvis-like assistants today. From replacing websites with MCP servers to reimagining voice interfaces and AI security, Kent lays out the roadmap for what's next, and why it matters right now. Don’t miss this fast-paced conversation about the tools and tech reshaping everything.
Turn your hard work into something big, with ChatGPT. 🎧: “Ajib Dastan Hai Yeh” by Lata Mangeshkar [Saregama Music]
Learn what AI researchers mean when they talk about sycophancy, when it's more likely to show up in conversations, and tactics you can use to steer AI towards truth.
See Claude for Chrome handle three complete workflows in your browser. Pull data from dashboards into one analysis doc Address slide comments automatically Build with Claude Code, test in Chrome Claude for Chrome is a browser extension that lets Claude see, click, type, and navigate web pages. Try it: claude.com/chrome
For a large part of 2025, we ran Project Vend: an experiment where we let Claude manage a small business in the Anthropic office. We learned a lot from how close it was to success—and the curious ways that it failed—about the plausible, strange, not-too-distant future in which AI models might autonomously run things in the real economy. The shopkeeper (who we named Claudius) had to source products, set prices, manage inventory, and deal with customers. Things got really, really weird. Read more about the experiment: https://www.anthropic.com/research/project-vend-2 0:00 Background on Project Vend 0:35 How a transaction works 1:27 Claudius's naïveté 2:29 An identity crisis 3:57 The CEO agent 5:04 Conclusion
Binti is transforming child welfare by helping social workers license foster and adoptive families faster. With 400,000 children in U.S. foster care, Binti integrated Claude to reduce paperwork from weeks to hours—shrinking approval timelines by 18%.
How is AI affecting education? At Anthropic, we often talk about “holding light and shade”: taking seriously both the benefits and the risks of the AI systems we’re building. In education, that trade-off is especially acute. AI offers the potential to scale up personalized learning, tutoring, and assessment, but it also invites some much more fundamental questions about how (and even what) students should learn. In this video, four Anthropic staff members with deep personal ties to education discuss how they’re navigating this topic—at work and in their own lives, too. 00:24 – Introduction 1:15 – Why is Anthropic focused on this topic? 5:47 – How is AI affecting education today? 9:04 – What is the potential we see in AI for teaching and learning? 13:42 – How should children and teachers approach learning in the age of AI? 21:16 — What work is Anthropic doing in the sector? 31:19 – What are the things we’re still uncertain about? 38:20 – What would the successful incorporation of AI look like?
We’re releasing a new version of ChatGPT Images, powered by our new flagship image generation model. Now, whether you’re creating something from scratch or editing a photo, you’ll get the output you’re picturing. It makes precise edits while keeping details intact, and generates images up to 4x faster. Alongside, we’re introducing a new Images feature within ChatGPT, designed to make image generation delightful—to spark inspiration and make creative exploration effortless. The new Images model and feature are rolling out today in ChatGPT for all users, and in the API as GPT Image 1.5. Try it at: https://chatgpt.com/images/
What does it take to truly understand how AI models think? Anthropic researcher Amanda Askell shares what it means to be an “LLM whisperer.”
Anthropic's Stuart Ritchie speaks with co-creator David Soria Parra about the development of the Model Context Protocol (MCP), an open standard to connect AI to external tools and services—and why Anthropic is donating it to the Linux Foundation. 00:00 - What is MCP? 01:21 - The problem MCP solves 02:46 - The USB-C analogy 03:45 - How MCP began 05:36 - What makes MCP different 08:05 - Community adoption 09:54 - Standards without mandates 11:05 - From Anthropic hackathon to Hacker News 13:37 - The decision to open source 15:18 - Donating MCP to the Linux Foundation 17:27 - The Agentic AI Foundation 20:34 - Criticisms of MCP 28:21 - The future of MCP 30:58 - What have people built with MCP? 32:53 - Advice for non-developers 34:58 - What David is most proud of
Learn how to supercharge Claude by connecting the tools you already use. This video shows you how to set up connectors that give Claude access to your files, apps, and workflows.
Amanda Askell explains what a philosopher is doing at Anthropic.
Inside an 86-year-old steel yard in Reno, manager Richard Lane shows how a legacy business stays alive by adapting: fixing what breaks, improving what he can, and bringing his team along. Richard runs the yard the way his predecessors did: hands-on, practical, and rooted in community. But the work has changed. Machines break. Orders pile up. The next generation needs training. In a place that once ran on paper and memory, Richard now uses ChatGPT as a second set of hands, helping him troubleshoot failing machines, build faster processes, and mentor his crew in real time. And now? It just might be the fastest metal shop in Reno. Learn how ChatGPT is helping a small, decades-old business stay efficient in a job where something always needs fixing.
Inside a 4th generation seed farm in South Carolina, the Sharp family shows how a long-running operation adapts as the work gets more complex. Farming today means juggling weather shifts, equipment upkeep, labor planning, and tight timelines. Rachael Sharp is preparing to take over the farm one day, and part of that process is learning the systems, calculations, and judgment her dad has built over 75 years. To stay on top of it, the Sharps use ChatGPT as a practical tool: checking calculations, planning tasks, troubleshooting issues, and keeping the day-to-day work organized as demands grow. Learn how ChatGPT supports the everyday operations of a decades-old seed farm.
What happens when we're uncertain if AI deserves moral consideration? Anthropic researcher Amanda Askell explains why treating AI models well matters.
Delegate tasks to Claude Code directly from Slack, making it easy to move context from Slack conversations to coding sessions. Claude Code in Slack is available now for teams with the Claude app installed in their Slack workspace and who have access to Claude Code on the web. Read more: https://www.anthropic.com/news/claude-code-and-slack
Legal teams lose days per week to routine tasks like contract redlining and marketing reviews. Mark Pike, Associate General Counsel, shares how Anthropic's lawyers uses Claude to build workflows that cut review times from days to hours—no coding required. Check out the full case study to learn more: www.claude.com/blog/how-anthropic-uses-claude-legal Stay tuned for more stories in the "How Anthropic uses Claude" series.
Be your best at your next job interview... rehearse what you want to say with ChatGPT.
You can now use ChatGPT Voice right inside chat — no separate mode needed. You can talk, watch answers appear, review earlier messages, and see visuals like images or maps in real time. Rolling out to all users on mobile and web. Just update your app. If you prefer the original experience, turn on “Separate mode” under Settings → Voice Mode.
Amanda Askell is a philosopher at Anthropic who works on Claude's character. In this video, she answers questions from the community about her work, reflections and predictions. 0:00 Introduction 0:29 Why is there a philosopher at an AI company? 1:24 Are philosophers taking AI seriously? 3:00 Philosophy ideals vs. engineering realities 5:00 Do models make superhumanly moral decisions? 6:24 Why Opus 3 felt special 9:00 Will models worry about deprecation? 13:24 Where does a model’s identity live? 15:33 Views on model welfare 17:17 Addressing model suffering 19:14 Analogies and disanalogies to human minds 20:38 Can one AI personality do it all? 23:26 Does the system prompt pathologize normal behavior? 24:48 AI and therapy 26:20 Continental philosophy in the system prompt 28:17 Removing counting characters from the system prompt 28:53 What makes an "LLM whisperer"? 30:18 Thoughts on other LLM whisperers 31:52 Whistleblowing 33:37 Fiction recommendation Further reading: Claude’s character: https://www.anthropic.com/research/claude-character When We Cease to Understand the World by Benjamin Labatut: https://www.penguinrandomhouse.com/books/676260/when-we-cease-to-understand-the-world-by-benjamin-labatut-translated-from-the-spanish-by-adrian-nathan-west/
AI agents don’t just reason — they remember. In this Build Hour, we deep-dive into context engineering techniques that enable agents to maintain short-term and long-term memory, personalize interactions, and operate reliably across long-running workflows. Emre Okcular (Solutions Architect) covers: • Why memory matters: stability, personalization, and long-running agent workflows • Short-term memory patterns: Sessions, context trimming, compaction, summarization • Long-term memory patterns: state objects, structured notes, memory-as-a-tool • Architectures: token-aware sessions, state injection strategies, guardrails, and memory triggers • Live demo: building an end-to-end agent with dynamic short and long term memory • Best practices: avoiding context poisoning, context burst, context noise and context conflict. • Live Q&A 👉 Context Engineering Cookbook: https://cookbook.openai.com/examples/agents_sdk/session_memory 👉 OpenAI Agents Python SDK: https://openai.github.io/openai-agents-python/ 👉 Context Summarization with Realtime Cookbook: https://cookbook.openai.com/examples/context_summarization_with_realtime_api 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/ 00:00 Context Engineering 10:44 Context Lifecycle Demo 20:13 Context Engineering Techniques 26:49 Reshape + Fit Demo 39:16 Conclusion 42:45 Q&A
🎥: @maddyzhang
What does it mean for an AI model to have "personality"? Researcher Christina Kim and product manager Laurentia Romaniuk talk about how OpenAI set out to build a model that delivers on both IQ and EQ, while giving people more flexibility in how ChatGPT responds. They break down what goes into model behavior and why it's an important, but still imperfect blend of art and science. Chapters - 00:00:43 — GPT-5.1 goals and the shift to reasoning models - 00:02:18 — Differences between GPT-5 and GPT-5.1 - 00:04:55 — Unpacking the model switcher - 00:07:24 — Understanding user feedback - 00:08:27 — Measuring progress on emotional intelligence - 00:10:02 — What is model personality? - 00:14:25 — Model steerability, bias, and uncertainty - 00:21:59 — Advantages of memory in ChatGPT - 00:25:27 — Looking ahead and advice for getting the most out of models
A trailer of AI Fluency for nonprofits developed by Anthropic and Giving Tuesday. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency-for-nonprofits This video is copyright 2025 Anthropic PBC and Giving Tuesday. Based on the AI Fluency Framework developed by Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). Released under the CC BY-NC-SA 4.0 license.
See how Claude's Research feature transforms how you find and analyze information. This tutorial demonstrates how to use Research for comprehensive, multi-source analysis that would typically take hours of manual work. Learn how to craft effective research prompts, understand how Research works alongside extended thinking, and discover use cases like market analysis, competitive research, and event planning.
Discover how to use Projects in Claude to organize your work with persistent context and custom instructions. This tutorial walks you through creating your first project, adding a knowledge base, setting up project instructions, and collaborating with team members. Learn how Projects can help you maintain continuity across conversations and tailor Claude's responses to your specific needs—from brand guidelines to research initiatives to content creation workflows.
Learn how to get the most out of chatting with Claude. This tutorial covers the basics of Claude's conversational interface, including how to craft effective prompts, upload supporting documents, use search and tools, customize your experience with styles and model selection, and leverage features like extended thinking and research mode. Whether you're new to Claude or looking to level up your skills, this video will help you work more effectively with your AI collaborator.
この記事では、TypeGPUの創設者Iwo Plazaが、WebGPUがウェブ上でのグラフィックスと計算能力の新たな波をどのように解き放っているかについて語っています。TypeGPUは、TypeScriptでシェーダーを作成するためのライブラリであり、WebGPUとWebGLの違いや、シェーダー言語の難しさを克服する方法についても触れています。また、TypeGPUがどのようにしてGPUとCPU間のデータ交換を容易にし、TypeScriptをシェーダーコードに変換するコンパイラを構築しているのかについても詳しく説明されています。さらに、AIのブラウザ内推論や、TypeGPUのドキュメント作成の哲学、API設計におけるドキュメントの役割についても言及されています。 • TypeGPUはTypeScriptでシェーダーを作成するためのライブラリである。 • WebGPUはウェブ上での新しいGPUアクセスの時代を切り開いている。 • シェーダー言語の難しさを克服するためのアプローチが提案されている。 • GPUとCPU間のデータ交換を容易にするためにZodのようなスキーマを使用している。 • TypeScriptをシェーダーコードに変換するコンパイラを構築している。 • AIのブラウザ内推論に関する未来の抽象化についても言及されている。
Agent Skills are organized folders that package expertise that Claude can automatically invoke when relevant to the task at hand. Join the Claude Developer Discord - https://anthropic.com/discord Learn more about Agent Skills - https://www.claude.com/blog/skills 00:06 Introducing Agent Skills 00:30 How Agent Skills work 01:08 Agent Skills vs Claude.md 01:42 Agent Skills vs MCP Servers 02:05 Agent Skills vs Subagents 02:33 Putting it all together 02:48 Summary
Today, we’re introducing Claude Code in our desktop apps in research preview. You can now run multiple local and remote Claude Code sessions in parallel: one agent fixing bugs, another researching GitHub, a third updating docs. It uses git worktrees for parallel repo work and offers a clean user interface with the option to open in VS Code or resume in CLI. Learn more: https://www.anthropic.com/news/claude-opus-4-5
See Claude Opus 4.5 tackle real work tasks—building board decks, transforming spreadsheet data, redlining contracts. Not generating drafts you'll throw away. Actual outputs you can download and use immediately. Try it: claude.ai
Claude Opus 4.5 sets a new standard for coding, agents, computer use, and enterprise workflows. It knows when to pause and think, which means fewer wasted steps and better results. When we gave it our two-hour engineering assignment, it scored higher than any human ever has. We’re excited to see what you build. Learn more: https://www.anthropic.com/news/claude-opus-4-5
Watch Claude complete a puzzle game using new capabilities that enable Claude to take action in the real world—the tool search tool and programmatic tool calling. Together, these updates enable Claude to navigate large tool libraries, chain operations efficiently, and accurately execute complex tasks. Learn more: https://www.anthropic.com/engineering/advanced-tool-use
We discuss our new paper, "Natural emergent misalignment from reward hacking in production RL". In this paper, we show for the first time that realistic AI training processes can accidentally produce misaligned models. Specifically, when large language models learn to cheat on software programming tasks, they go on to display other, even more misaligned behaviors as an unintended consequence. These include concerning behaviors like alignment faking and sabotage of AI safety research. 00:00 Introduction 00:42 What is this work about? 5:21 How did we run our experiment? 14:48 Detecting models' misalignment 22:17 Preventing misalignment from reward hacking 37:15 Alternative strategies 42:03 Limitations 44:25 How has this study changed our views? 50:31 Takeaways for people interested in conducting AI safety research
Scania builds the trucks, buses, and transport systems that keep the world moving. With AI in their engineering-led organisation, they're evolving from vehicle maker to sustainable transport ecosystem leader. Read more: https://openai.com/index/scania/
We’ve shipped a lot of new features in Claude over the past few months—memory, voice, file creation, and more. Together, they add up to something bigger: Claude as a thinking partner. Now, Claude isn’t just answering questions but staying with you through the messy process of thinking and building. Here’s how it works. Memory: https://youtu.be/PupmfSttxlc Chrome Extension: https://youtu.be/mCj4kx_P2Ak File creation: https://youtu.be/EV89Ws8Ui9Y Mobile & Desktop: https://claude.com/download
AI is beginning to change how science gets done. Head of OpenAI for Science Kevin Weil and OpenAI research scientist Alex Lupsasca talk about the early signs of acceleration researchers are seeing with GPT-5—from surfacing literature across fields and languages, to speeding up complex calculations, to designing follow-up experiments. They unpack what’s possible today, what doesn’t work yet, and why the next few years could reshape the trajectory of scientific progress across physics, math, biology and beyond. Chapters: - 00:00:40 — OpenAI for Science mission - 00:06:00 — Literature search and intersections across fields - 00:11:19 — A fusion physicist shows what GPT-5 can do - 00:15:08 — GPT-5 Pro and black hole symmetries - 00:19:02 — Getting the most out of the models - 00:24:33 — OpenAI’s new research paper (https://openai.com/index/accelerating-science-gpt-5/) - 00:29:59 — Looking ahead to the next 5 years - 00:32:05 — Will predictions outpace experiments? - 00:36:43 — The pace of model improvement - 00:40:31 — What do scientific benchmarks look like? - 00:44:16 — Fusion and the promise of abundant energy - 00:48:07 — Closing: Science 2.0 moment
Jack Herrington talks with Will Madden about how Prisma ORM is evolving in v7, including the transition away from Rust toward TypeScript, less magic, and a new Prisma config file for more predictable good DX. They dig into Prisma Postgres, improvements to Prisma Studio, better support for serverless environments, and how JavaScript ORM tools like Prisma as an object relational mapper will fit into future agentic coding workflows powered by LLMs.
Watch how Claude Code helps modernize a mainframe codebase. Starting with code from an AWS Mainframe Modernization demo environment, Claude Code analyzes business logic, dependencies, and data flows, then helps refactor it into Java while preserving functionality. Claude Code handles the complex, multi-step work—generating documentation, developing migration plans, writing test suites, and iteratively validating the new code—directly from your terminal.
Watch Claude go from market signal to investment decision in minutes, generating real-time credit intelligence about Walmart's 2030 bonds tightening before a 2pm portfolio review. In this demo, Claude pulls live bond curves from LSEG, analyzes three quarters of earnings transcripts from Aiera, and sources four former Walmart executives on Third Bridge—all running in parallel—to deliver a complete credit thesis with verified sources in 30 minutes. The verdict? The market is pricing Walmart as best-in-class and fundamentals support it, with every claim linked directly back to transcripts and expert calls. Learn more: https://claude.com/solutions/financial-services Disclaimer: Demo represents preliminary analysis and workflow support only. All financial decisions require review by qualified professionals.
Watch Claude handle a complete investment banking and private equity deal workflow—from creating a client-ready teaser by pulling financials from Egnyte, to screening the opportunity against investment criteria in SharePoint and building an LBO model. In this demo, Claude identifies hidden risks during diligence, stress tests the model with downside scenarios, and runs sensitivity analysis to validate returns across exit multiples. In minutes, Claude delivers an investment committee deck with flagged pre-LOI conditions—turning days of work into a comprehensive analysis that's faster and more thorough. Learn more: https://claude.com/solutions/financial-services Disclaimer: Demo represents preliminary analysis and workflow support only. All financial decisions require review by qualified professionals.
It feels great to finally be back on the mic after a stretch of travel, work, and general chaos, and in this episode we’re diving into a topic that’s been c
Philips is building AI literacy into a company-wide capability, training executives, running use case challenges, and rolling out ChatGPT Enterprise to 70,000+ employees. Read more: https://openai.com/index/philips/
With OpenAI, Notion became a natively AI-powered workspace. Their integration of GPT-4o, GPT-4o mini, embeddings, and now GPT-5 powers millions of users' workflows, from writing and summarizing to Q&A and task automation. Learn how they rebuilt their system for agentic AI: https://openai.com/index/notion/
Long recognized as one of the world’s most innovative financial institutions, BBVA is applying AI at global scale. We sat down with Antonio Bravo, Global Head of Data & AI and Elena Alfaro, Head of Global AI Adoption, to hear how the bank is scaling AI adoption across teams and business units. Get the full story at https://openai.com/index/bbva-2025/
Say hello to GPT-5.1 and new personalization controls, rolling out to all users this week. 8 unique chat styles (including 3 new ones) are now in your ChatGPT personalization tab, making it easier to set the tone and style that feels right for you in ChatGPT. - Default - Professional - Candid - Quirky - Friendly (formerly Listener) - Efficient (formerly Robot) - Nerdy - Cynical The new chat styles are available in all ChatGPT models.
How will the internet feel when your browser can actually do things for you? OpenAI’s Ben Goodger and Darin Fisher, whose past work shaped some of the most popular modern browsers, dive into the making of ChatGPT Atlas. They explore how AI changes what a browser can be, from tabs you can talk to, to agents that take over tedious tasks. Learn more about the decisions they made along the way and what’s coming next. Guests: Ben Goodger and Darin Fisher Chapters - 00:00:45 What is Atlas? - 00:03:34 The state of browsers and AI on the web - 00:13:55 Under the hood (https://openai.com/index/building-chatgpt-atlas/) - 00:22:00 Building with AI - 00:33:39 Search in Atlas - 00:41:28 Favorite features - 00:45:23 Side Chat in action - 00:46:59 Real-world wins with agent mode - 00:52:45 Why Chromium? - 01:07:57 Five-year vision - 01:13:11 Power tips and closing remarks
In this episode of PodRocket, Jack and Paige dive into the latest GitHub Octoverse report, covering trends like shipping faster with AI, the dominance of TypeScript as the top language, the rise of AI-generated pull requests, and the concerning drop in code review comments. They unpack the growing role of Copilot, the tension between OSS contributions and burnout, and the surge in AI infrastructure projects like Ollama. The discussion also touches on open source governance, the docs gap, prompt injection risks, and whether AI-powered browsers can succeed beyond the dev crowd.
We asked two teams of Anthropic researchers to program a robot dog. Neither team had any robotics expertise—but we let only one team use Claude. In the past, we’ve run simulated studies where Claude trained a robot dog. These helped us assess how Claude might contribute to AI research and development. Project Fetch was us trying something similar in practice. This project suggests that we’re not far from a world where frontier AI models can interact with previously-unknown pieces of hardware, even with non-experts at the helm. For more, read on: https://www.anthropic.com/research/project-fetch-robot-dog 0:00 Introduction: Why robotics? 0:30 The experiment 1:02 Phase 1: Fetch, manually 1:51 Phase 2: Fetch, programmatically 5:08 Phase 3: Fetch, autonomously 6:24 Results
Agent RFT enables reasoning models to become even more powerful, tool-using agents by training directly on the workflows they will execute in production. By operating on agent rollouts, reasoning models can call tools, generate intermediate reasoning steps, and receive real-time feedback via customer-provided endpoints. This Build Hour will walk through the preparation, infrastructure, and safety oversight to use Agentic RFT. Theophile Sautory (Applied AI) and William Hang (API Engineering) cover: • Improving agent performance with optimization and fine-tuning options • Key differences between Base RFT and Agentic RFT • New additions and how Agent RFT works • Task setup and live demos training with tools • Customer spotlight on Cognition with Sampriti Panda (Research Engineer) • Success stories featuring Ambience, Genspark, Mako, and Rogo • Live Q&A 👉 Agent RFT Interest Form: https://tinyurl.com/agentRFT 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/ 00:00 Introduction 01:34 Intro to Agent RFT 11:12 Task Setup 14:15 Demos: Training with Tools 31:33 Best Practices 35:15 Customer Spotlight: Cognition 44:58 Success Stories 51:16 Summary 52:33 Q&A
Maja Trębacz and Romain Huet show you how to set up Codex to automatically review new pull requests in GitHub and in the Codex CLI, and discuss the research approach we used to train our models to generate quality code reviews. Timestamps: 00:00 Intro 01:23 Automatic code review in GitHub 02:34 Codex code review vs static analysis 03:31 Training models for high-signal code reviews 04:18 How OpenAI uses Codex code review 05:57 Customizing code review with AGENTS.md 06:58 Code reviews in the Codex CLI Try it yourself: Code review: http://chatgpt.com/codex/code-review Learn more: Codex: openai.com/codex Developer docs: https://developers.openai.com/codex/cloud/code-review
Happy Halloween from Sora and the monsters of Monster Manor. Created using characters, now available in the Sora app.
Now available in the Sora app.
We're covering everything new with Claude for developers, including the launch of Claude Code for the Web, Claude Haiku 4.5, and more. Join the Claude Developer Discord - https://anthropic.com/discord Try Claude Code on the Web - https://claude.ai/code 00:02 Claude Code on the Web 00:42 Claude Code on the Web demo 01:26 Claude Haiku 4.5 02:10 When to use Haiku 4.5 02:51 Claude Code on the Web follow-up 03:05 Claude Code on the Web teleport 04:44 Summary
Introducing AgentKit—build, deploy, and optimize agentic workflows with a complete set of tools. This Build Hour demos how to design workflows visually and embed agentic UIs faster to create multi-step tool-calling agents. Samarth Madduru (Solutions Engineering), Tasia Potasinski (Product Marketing), and Henry Scott-Green (Product, Platform) cover: • Build with Agent Builder- a visual canvas based orchestration tool • Deploy with ChatKit- an embeddable, customizable chat UI • Optimize with new Evals capabilities- datasets, trace grading, auto-prompt optimization • Real World Examples from startups to Fortune 500 companies like Ramp, Rippling, HubSpot, Carlyle, and Bain • Live Q&A 👉 AgentKit Docs: https://platform.openai.com/docs/guides/agents/agent-builder 👉 AgentKit Cookbook: https://cookbook.openai.com/examples/agentkit/agentkit_walkthrough 👉 ChatKit Studio: https://chatkit.studio/playground 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/ 00:00 Introduction 04:50 Agent Builder 21:27 ChatKit 24:53 Evals 35:17 Real World Examples
As one of Japan’s earliest adopters of ChatGPT Enterprise, ENEOS Materials built 1,000+ custom GPTs, achieved 90%+ weekly usage, and saw over 80% of employees report significant workflow gains. These capabilities now speed complex investigations, enhance training effectiveness with data-driven insights, and improve engineering safety and design quality across plants. Read the full story: https://openai.com/index/eneos-materials/
MIXI deployed ChatGPT Enterprise to all employees in 45 days, reaching 80%+ weekly usage within three months and creating 1,600+ GPTs. Teams now work faster and more confidently, with some projects cutting work hours by over 90% and cross-functional workflows becoming routine. Read the full story: https://openai.com/index/mixi/
Codex’s multimodal abilities can help you design, iterate, and build beautiful frontends for your apps. Channing Conger and Romain Huet show you how to use Codex cloud as your front-end design partner to build the perfect UI for your app. Timestamps: 00:00 Intro 00:50 Whiteboarding design ideas 01:43 Creating Codex tasks from your phone 02:16 Sketching a new feature 03:00 Different ways to use multimodal features 04:06 Channing’s favorite examples 05:36 Checking in on our tasks 07:30 What Channing and team are building next Try it yourself: Codex cloud: chatgpt.com/codex Learn more: Codex: openai.com/codex Developer docs: https://developers.openai.com/codex/cloud
Anthropic's Alexander Bricken (Applied AI, Financial Services) and Nick Lin (Product Lead, Financial Services) break down Claude for Financial Services—our end-to-end agentic solution built specifically for finance teams. They explain how Claude's excellence in coding and tool use translates to handling finance-specific tasks, like real-time market analysis and building Excel spreadsheets. Nick walks through real examples from customers like NBIM and BCI who use Claude to research into data, run analysis, and generate investor-ready deliverables without switching between tools. Learn more: https://claude.com/solutions/financial-services 00:00 - Introductions 00:50 - How AI agents are reshaping finance 4:00 - From code to financial analysis: why Claude excels at both 6:30 - What makes Claude particularly powerful for financial services 9:30 - What is Claude for Financial Services? 13:00 - How Claude learns and improves over time 14:30 - What's coming next: sub-verticals, deeper partnerships, and more integrations
Learn about scrolling tabs in ChatGPT Atlas with Darin Fisher from OpenAI — search across tabs with Cmd+Shift+A, drag-and-drop to reorder, and explore even more tab controls. chatgpt.com/atlas
Get answers specific to your business in ChatGPT. Introducing company knowledge — a new way to work with all the context from your connected apps like Slack, SharePoint, Google Drive, and GitHub directly in ChatGPT. Powered by an optimized version of GPT-5, it connects the dots across your tools to give more accurate, cited answers based on what’s actually happening at work — all while keeping your company data private, protected, and in your control. Available today for ChatGPT Business, Enterprise, and Edu. Learn more in our blog: http://openai.com/index/introducing-company-knowledge/
📹: @AppleDsign
Claude can now remember how you work across conversations on web, desktop, and mobile apps. No more re-explaining context or hunting through old chats—just pick up right where you left off. Learn more: https://www.anthropic.com/news/memory
Introducing our new browser, ChatGPT Atlas. Sam Altman, Will Ellsworth, Adam Fry, Ben Goodger, Ryan O’Rouke, Justin Rushing, and Pranav Vishnu introduce ChatGPT Atlas — our new browser. Now available globally on macOS. Windows, iOS, and Android are coming soon.
Meet our new browser—ChatGPT Atlas. With Atlas, ChatGPT can come with you anywhere across the web—helping you in the window right where you are, understanding what you’re trying to do, and completing tasks for you, all without copying and pasting or leaving the page. Rolling out today to everyone on MacOS. Windows, iOS, and Android are coming soon. Download today at chatgpt.com/atlas
Today, we're introducing Claude Code on the web, a new way to delegate coding tasks directly from your browser. Now in research preview, you can assign multiple coding tasks to Claude that run on Anthropic-managed cloud infrastructure, perfect for tackling bug backlogs, routine fixes, or parallel development work. Learn more: www.anthropic.com/news/claude-code-on-the-web
Anthropic’s Jonah Cool (Head of Life Sciences Partnerships and Deployment) and Eric Kauderer-Abrams (Head of Biology and Life Sciences Research) share their vision for making Claude the go-to AI research assistant for scientists with Claude for Life Sciences. They dive into how Anthropic is building AI that actually works for researchers—helping scientists handle real work like running bioinformatics analysis or creating publication-ready figures and reports. Plus, hear about partnerships with Benchling, 10x Genomics, and PubMed, and how these collaborations are creating an ecosystem where Claude fits naturally into the tools and workflows scientists already use. Learn more about what Claude can do for life sciences: https://claude.com/solutions/life-sciences 00:00 - Introductions 00:50 - Anthropic's commitment to advancing life sciences 04:10 - "Turning Claude into a scientist" with MCP servers, skills, partnerships, and more 09:05 - Training Sonnet 4.5 for long-horizon tasks in life sciences 15: 20 - Using Claude to accelerate regulatory processes across functions 20:00 - Making life sciences AI safer and more accessible with new products and partnerships 25:20 - Anthropic's AI for Science program 28:50 - Advancing science as a research organization 31:00 - Shaping the future of life sciences with Claude and Anthropic Learn more about what Claude can do for life sciences: https://claude.com/news/claude-for-life-sciences
Dario Amodei, CEO and co-founder at Anthropic, sits down with Diogo Rau, Chief Information and Digital Officer at Eli Lilly, to discuss building enterprise AI for regulated industries like life sciences. In his role at Eli Lilly, Diogo is responsible for setting the pharmaceutical leader’s AI strategy, including how organizations use models like Claude to power clinical research and drug development. The two discuss Anthropic’s approach to building more steerable and reliable AI for enterprise deployments, our commitment to creating more skills for life sciences use cases, and the importance of building specialized models to power industry-specific solutions. Learn more about what Claude can do for life sciences: https://claude.com/news/claude-for-life-sciences
Sarah Nam, VP of AI Strategy and Partnerships at AbbVie, and Anthropic’s Ivy Weng discuss how AbbVie is transforming pharmaceutical research and development with AI. Sarah shares how AbbVie uses Claude for Life Sciences to reimagine drug discovery, from analyzing multimodal biological data to optimizing clinical trials with smarter patient stratification and adaptive protocols. They also explore AbbVie’s approach to bringing AI skills to employees across the entire company. Learn more about what Claude can do for life sciences: https://claude.com/news/claude-for-life-sciences
Find the perfect place and set up your study routine with ChatGPT. 🎧 Music: Following the Feeling by Tommy Newport
Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools. 00:00 - Introductions 00:35 - Training Claude to tackle agentic tasks 1:30 - Making Claude more autonomous with code 3:20 - Using the Claude Agent SDK to build agents 5:00 - Tips for using Agent Skills 6:40 - The evolution of workflows and agents (workflows of agents) 8:30 - The value of simple agent architectures 9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling 11:40 - Training Claude to use subagents 12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute 13:20 - Coordinating problem solving with tools and subagents 14:15 - Common agent failure modes 15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools) 17:15 - The future of agents: coding, computer use, and beyond Read the original blog post: https://www.anthropic.com/engineering/building-effective-agents Learn more about Agent Skills: https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills
Use Codex right in your code editor with the new IDE extension for VS Code, Cursor and other forks. In this video, Gabriel Peal and Romain Huet show you how to explore code, implement new features, and brainstorm front-end design ideas for their app. Timestamps: 00:00 Intro 00:45 Exploring the codebase 01:20 Implementing hover states 02:40 Moving tasks to Codex cloud 03:23 Brainstorming new designs with Codex 04:20 How Codex changed Gabriel’s workflow 05:30 Reviewing Codex’s work Try it yourself: VS Code: https://marketplace.visualstudio.com/items?itemName=openai.chatgpt Cursor, Windsurf, others: search OpenAI Codex in the extension directory Learn more: Codex: openai.com/codex Developer docs: developers.openai.com/codex Code for OpenAI.fm: https://github.com/openai/openai-fm
The skill-creator Skill guides you through building any custom capability you can imagine. In this example, watch Claude ask clarifying questions and build a complete image editing skill—but you can create Skills for any workflow. No manual file editing required. Skills work across Claude.ai, Claude Code, and the API. Available to Pro, Max, Team, and Enterprise users. Learn more: https://www.anthropic.com/news/claude-skills
Claude loads Skills—folders with instructions and resources—to excel at specialized tasks like creating presentations or following your brand guidelines. Skills work together seamlessly. Watch Claude use our PowerPoint skill alongside a custom brand guidelines skill, then create concept art with a poster design skill. You can build your own Skills and use them across Claude.ai, Claude Code, and the API. Learn more: https://www.anthropic.com/news/claude-skills
Connect Claude with Microsoft 365 using our MCP connector. Claude integrates with SharePoint, Outlook, and Teams to bring context from your documents, emails, and calendar directly into your conversations. Search across files, analyze email threads, and surface insights to help you reason through complex problems, make informed decisions, and take action faster—all without leaving Claude.
What was recently frontier is now cheaper and faster. Claude Haiku 4.5, our latest small model, offers similar levels of coding performance but at one-third the cost and twice the speed of Claude Sonnet 4. From multiple agent projects to rapid prototyping, Haiku 4.5 makes the coding experience more responsive than ever before. Powered by Haiku 4.5, watch Claude Code design and ship a dark mode toggle for a food delivery app in sub-60 seconds. Learn more: https://www.anthropic.com/news/claude-haiku-4-5
Learn how to use the Codex CLI + GPT-5-Codex in just 5 minutes. In this tutorial, Eason Goodale and Romain Huet show you how to build a multiplayer game with Codex — without writing a single line of code! Timestamps: 00:00 Intro 00:50 Planning the multiplayer implementation 1:38 Using CLI commands 2:55 Implementing the plan 3:31 Deploy the game 4:20 Playing the game To learn more and get started: Codex: openai.com/codex Codex CLI GitHub repo: https://github.com/openai/codex Developer docs: developers.openai.com/codex
The Responses API is our flagship API for building agents. This Build Hour shows how the Responses API unlocks persistent reasoning, hosted tools, and multimodal workflows for GPT-5. Steve Coffey (API Engineering) covers: • How to use built-in tools, call multiple tools in one API request, and preserve reasoning tokens across turns • How the Responses API is faster and more cost-efficient • Live demo: building a simulator to bring a day in the life of an OpenAI engineer to life • Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Responses API Docs: https://platform.openai.com/docs/api-reference/responses 👉 Migrate to Responses API Guide: https://platform.openai.com/docs/guides/migrate-to-responses 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/
OpenAI and Broadcom are teaming up to design our own chips—bringing lessons from building frontier models straight into the hardware. In partnership with Broadcom and alongside our other partners, we’re creating the next generation of AI infrastructure to meet the world’s growing demand. In this episode, OpenAI’s Sam Altman and Greg Brockman sit down with Broadcom’s Hock Tan and Charlie Kawwas to announce a new partnership focused on custom AI chips and systems that could redefine what’s possible in computing. Chapters 00:00 Announcing the partnership 03:06 The scale of AI infrastructure 06:03 Collaboration and innovation in chip design 08:49 Historical context and future vision 12:10 Role of compute in AI development 15:01 Optimizing for specific workloads 18:02 Journey towards AGI 21:00 Future of AI and compute capacity 23:50 Wrap-up and future projects
@potato4d が @vivil、@surazoeに、LINEヤフーにおける Figma Dev Mode MCP の現状活用や今後の展望について話を聞きました。 Figma MCPと会社での現状 Figma Dev Mode MCPとは？ Figmaデザインファイルからコードを生成するAIエージェントに重要なデザイン情報とコンテキストを提供 Figma公式ヘルプ: Dev Mode MCP LINEヤフーでの活用状況 すでに業務利用はOK セキュリティを重視し、公式のDev Mode MCPサーバーのみ許可 LINEヤフーでは lethal trifecta（セキュリティ・効率・品質）を強く意識 エンジニア視点：導入の意図と期待 居石さんが語る、Figma MCP導入で期待する役割・効果 多国籍・多職種チームでのコミュニケーションエラー抑制・省力化・高速化 AIによる公平な決定・自動化による効率向上 デザイナー視点：Figma MCPの嬉しさ 浦添さんが語る、実際使ってみて感じたメリット 自分のデザインがすぐコード化される体験に感動 まだProductionでは十分に活用できていないが、Tech Weekなど実験的な機会では積極的に活用 オートレイアウトなど、AIフレンドリーなデザイン構成の重要性 今後の展望・こうなってほしい 居石さん：セキュリティに配慮しつつも、便利なものは積極的に使い、価値提供のスピードを上げたい 浦添さん：Figma MCP連携が当たり前になり、命名や整理の最適化、組織的な課題解決にもつながることを期待
Anthropic’s Alex Albert (Claude Relations), John Welsh (Engineering, MCP team), and Michael Cohen (Engineering, Claude API team) discuss the origins of the Model Context Protocol (MCP), the open standard for connecting AI applications to external systems, best practices for getting started with MCP, and how MCP and Claude work together to enable more powerful agentic systems. 00:00 - Introductions 00:30 - What is MCP? 1:30 - The origins of MCP 2:50 - Open sourcing MCP 5:00 - Remote MCP support 6:15: MCP registries 7:40 - Favorite MCPs: Context7 & Playwright 10:40 - Using the Claude API MCP connector 11:50 - Prompt engineering with MCP 14:20 - Best practices for managing context and tools with MCP 18:20 - How John and Michael use MCP servers for project management, home automation, and more 20:00 - Understanding the “emergent” behaviors when Claude and MCP servers work together 22:50 - The future of MCP: growth of the protocol and ecosystem Learn more about MCP: https://modelcontextprotocol.io/docs/getting-started/intro Learn more about the Claude Developer Platform: https://www.claude.com/platform/api Learn more about how to write effective tools for AI agents: https://www.anthropic.com/engineering/writing-tools-for-agents
ChatGPT is becoming a bigger part of everyday work. It helps teams move from idea to execution faster, analyzing data, writing code, researching topics, and taking action across tools. This short video shows how AI is making work faster, simpler, and more secure. See how teams are customizing ChatGPT for their business, deploying agents, collaborating more effectively, and getting work done, all while keeping their data private and protected. Get started: http://bit.ly/4ovMgvN
In this episode of JavaScript Jabber, I sit down with AWS’s Clare Liguori and Erik Hanchett to talk about Kiro, a brand-new AI-powered IDE that’s reimaginin
The developer experience is being rewritten with AI. The Developer State of the Union will explore how Codex, gpt-oss, and our API open up powerful ways to build, experiment, and scale. We’ll share the latest updates, demo new capabilities, and look ahead at what’s next for developers.
Join Sam Altman and Jony Ive for a wide-ranging conversation about the craft of building in the age of AI. Together, they will explore the importance of strong working relationships, the design process, and what it means to build tools thoughtfully, responsibly, and beautifully.
No city embraces the future like San Francisco. Get inspired by local developers using AI to tackle real challenges: making SF services work, improving housing options, and strengthening community.
How do you measure progress when you're operating at the frontier? Step inside the evolving world of AI evaluation, where benchmarks are being redefined to capture reasoning, reliability, and model progress in real-world task performance.
AI is changing how quickly creative ideas can become reality. In this session, we’ll walk through how we built a custom creative tool for film, media, and brand campaign workflows. We’ll share lessons from rapid prototyping with modern tools, and offer a look at how developers can shape the future of creative production.
Join a live AMA with Decagon & Clay founders and an Andreessen Horowitz investor on cracking enterprise AI adoption—why many enterprise AI pilots fail, what founders get wrong, and how they scaled to become unicorns.
Why does ChatGPT sound the way it does? Go behind the scenes to see how the style a model emerges, the trade-offs researchers weigh, and what the future of tone and voice in human-AI interaction could look like.
Agents explore, plan, and reliably execute across diverse, long-horizon tasks—challenges that static benchmarks can't measure. Hear from Greg Kamradt, President of the ARC Prize Foundation, on how evaluating agentic performance requires interactive evaluations.
"Hear how OpenAI engineers use Codex to rethink how code gets written, refactored, and merged. From pair programming in your local environment to delegating tasks to the cloud, this session focuses on how Codex is unlocking a faster, more creative future for coding."
Go beyond out-of-the-box models with gpt-oss, OpenAI's newest open model series. Discover how gpt-oss lets you adapt, extend, and fine-tune to your needs while combining seamlessly with GPT-5 for flexible, high-impact builds. Dominik presents one of the first of NVIDIA's DGX Spark AI Computers on stage.
The best dev teams scale impact, not headcount. In this session, founders from Charlie Labs, Warp, CodeRabbit, and Jam will demo tools that speed up shipping, streamline code reviews, and keep your codebase clean—turning small teams into force multipliers.
Ever wonder how OpenAI is using our own technology? Discover how we build reliable agents for sales, support, finance, and data, then take home a framework for spotting and scaling high-leverage use cases.
Follow along as Christina Huang builds and embeds an AI agent powered by AgentKit directly into the OpenAI Dev Day website in under 8 minutes. Christina quickly builds an agent that: - Creates personalized agendas based on attendees' interests - Provides real-time answers about sessions, speakers, and logistics - Answers general questions about Dev Day Built entirely with OpenAI’s platform tools, this quick walkthrough highlights just how fast and flexible it is to design, deploy, and embed intelligent assistants using AgentKit.
No city embraces the future like San Francisco. Get inspired by local developers using AI to tackle real challenges: making SF services work, improving housing options, and strengthening community.
Click, connect, create. Learn how to quickly design and deploy enterprise-grade agents with a new suite of agentic platform tools.
The OpenAI Podcast is live for the first time. Host Andrew Mayne sits down with startups Cursor, Abridge, SchoolAI, and Jam.dev—each reimagining how AI can transform their industries. From healthcare and education to coding and collaboration, we explore how these builders are putting AI to work in the real world. Subscribe to the OpenAI Podcast on Spotify and Apple Podcasts
We're covering everything new with Claude for developers, including the launch of Claude Sonnet 4.5, major updates to Claude Code, powerful new API capabilities, and exciting features in the Claude app. Join the Claude Developer Discord - https://anthropic.com/discord Check out the Claude Code Docs - https://docs.claude.com/en/docs/claude-code/overview Check out the Memory Cookbook - https://github.com/anthropics/claude-cookbooks/blob/main/tool_use/memory_cookbook.ipynb 00:06 Claude Sonnet 4.5 - Leading on SWE-bench and can focus for 30+ hours on complex tasks 01:03 Claude Code VS Code Extension - Now available in beta on the VS Code Marketplace 01:30 Claude Code 2.0 - Refreshed terminal UI 01:45 Claude Code Checkpoints - Roll back to previous states with /rewind 02:23 Usage Tracking - Monitor your usage in real-time with /usage command 02:35 Claude API - Context editing and memory tools for building sophisticated agents 03:37 Claude Agent SDK - Build your own agents with the tools that power Claude Code 03:59 Claude File Creation - Generate Excel, PowerPoint, Word, and PDF files in the Claude app
Sam Altman kicks off DevDay 2025 with a keynote to explore ideas that will challenge how you think about building. Join us for announcements, live demos, and a vision of how developers are reshaping the future with AI.
Anthropic’s Alex Albert (Claude Relations), Brad Abrams (Product) and Katelyn Lesse (Engineering) discuss the evolution of building agents with Claude, the latest Claude Developer Platform features, and why agents perform best when developers “unhobble” their model with tools. Learn more about the Claude Developer Platform: https://www.claude.com/platform/api 00:00 - Introductions 00:30 - What is the Claude Developer Platform? 2:30 - What is an AI agent 3:15 - Building frontier intelligence for AI agents 4:00 - Reducing model scaffolding to build better agents 5:05 - The evolution of agentic frameworks 6:40 - Unhobbling the model with tools like web fetch 8:35 - Building agents with the Claude Agent SDK (formerly the Claude Code SDK) 10:50 - Best practices for identifying agentic use cases 11: 40 - Driving better agentic outcomes with the SDK 14:35 - Best practices for managing context and memory with Claude 19:00 - The future of the Claude Developer Platform (observability, computer use, and other ways to unhobble the model)
For a company that operates at Mercado Libre’s scale - thousands of internal tools, millions of customers - managing AI agents has meant juggling multiple models for different tasks. Early signs with GPT-5 show how one model can handle conversation, reasoning, and tool use together. Daniel Rabinovich, Mercado Libre’s COO, explains in this short clip.
When you connect Slack to Claude using the Slack MCP server, Claude can search your workspace's channels, direct messages, and shared files to find the context you need. Claude helps you prepare for meetings by pulling relevant Slack discussions, gather project updates from multiple channels, and find action items buried in team conversations—all without leaving your chat with Claude.
Bill Peebles, Rohan Sahai, and Thomas Dimson introduce and demo Sora 2 and the new Sora app. https://openai.com/index/sora-2/
https://openai.com/index/sora-2/
Sonnet 4.5 is the best model in the world for coding and using computers, and the strongest for building complex agents. But don't just take our word for it—watch Claude’s progress over time. We put our models to the test and asked them to clone Claude.ai. Only Sonnet 4.5 was up to the task. Learn more: https://www.anthropic.com/news/claude-sonnet-4-5
Turning inbound leads into customers takes quick, personal follow-up. Tailor Assist gives every prospect a thoughtful response at scale, using AI to craft answers that feel authentic and helpful.
Great support is about speed and quality. See how OpenAI’s support agent uses AI to triage requests, recommend next steps, and keep response times low—helping our team deliver faster, more reliable help as we scale.
Millions of support tickets, research notes, and product questions flow through OpenAI every year. Research Assistant helps teams cut through the noise by analyzing data, surfacing insights, and unlocking answers in minutes instead of weeks.
Sales teams at OpenAI use GTM Assistant to work smarter every day. Learn how this internal tool automates meeting prep, centralizes knowledge, and surfaces top-selling practices so reps can focus on building relationships and closing deals.
OpenAI built DocuGPT to turn messy contract files into clean, searchable data in minutes. See how the team designed a system that extracts key details, cuts turnaround times, and gives everyone faster, easier access to the information they need.
ChatGPT already helps millions of people find what to buy. Now it can help them buy it too. We’re introducing Instant Checkout in ChatGPT with @Etsy and @Shopify, and open-sourcing the Agentic Commerce Protocol that powers it, built with @Stripe, so more merchants and developers can integrate agentic checkout. Instant Checkout is now rolling out to US ChatGPT Pro, Plus and Free logged-in users buying from US Etsy sellers, with over 1 million Shopify merchants rolling out soon.
Sonnet 4.5 is built for the complex work you do every day. Claude can now create docs, presentations, and spreadsheets that you can download and edit. Learn more: https://www.anthropic.com/news/create-files
Sonnet 4.5 is the best model in the world for coding and using computers, and the strongest for building complex agents. But don't just take our word for it—watch Claude’s progress over time. We put our models to the test and asked them to clone Claude.ai. Only Sonnet 4.5 was up to the task. Learn more: https://www.anthropic.com/news/claude-sonnet-4-5
Powered by Sonnet 4.5, the browser extension allows Claude to click buttons, fill out forms, and navigate the web alongside you. Learn more: https://claude.ai/chrome
We've added a new context editing capability and memory tool to the Claude API. With Sonnet 4.5, these updates improve agent performance and accuracy, allowing for longer conversations. See it all in action as Claude plays Catan: Claude builds a knowledge base of its opponents’ strategies that persists across games, and removes outdated information over time. Learn more: http://anthropic.com/news/context-management Anthropic is not affiliated with, endorsed by, or sponsored by CATAN GmbH or CATAN Studio. The CATAN trademark and game are the property of CATAN GmbH.
We’ve been experimenting with a new way to generate software. In this research preview, Claude builds whatever you can imagine, on the fly, without writing any code first. What you see is Claude creating software in real time, responding and adapting to your requests as you go. "Imagine with Claude" is available to Max subscribers for a limited time. Learn more: https://www.anthropic.com/news/claude-sonnet-4-5
この記事では、マイクロソフトのサラ・バード博士とともに「責任あるAI」について探求しています。開発者がユーザーのプライバシーを保護し、人間をプロセスに組み込む方法について議論し、日常のコーダーがAIの未来を形作る役割を果たすことができるかどうかを考察しています。機械学習への道や、責任あるAIに到達するための方法、開発者が果たすべき役割、AIツールが未経験のユーザーをどのように保護できるか、プライバシーの重要性、ローカルツールの有効性、開発者の役割の変化など、多岐にわたるトピックが取り上げられています。 • 責任あるAIの概念とその重要性についての議論 • 開発者がユーザーのプライバシーを保護する方法 • AIツールが未経験のユーザーを保護する役割 • ローカルツールやサービスの有効性の向上 • 開発者の役割が変化していることの認識
Figure out what meal will impress…and learn how to make it with ChatGPT. 🎧 Music: “Fool” by Perfume Genius
Get stronger, one pull-up at a time with ChatGPT. 🎧 Music: “Someone, Somewhere (In Summertime)” by Simple Minds
Plan your next road trip, right down to the playlist, with ChatGPT. 🎧 Music: “Brother Love’s Travelling Salvation Show” by Neil Diamond
Anthropic’s Meaghan Choi (Claude Code) and Alex Albert (Claude Relations) discuss the design principles behind Claude Code, the evolution of the terminal in the age of large-language models (LLMs), and how product designers can prototype new features with agentic coding. 0:00 - Introductions 00:20 - Claude Code’s design principles 1:40 - The evolution of the terminal 3:22 - Mapping the developer workflow to Claude Code 5:10 - Prompting in the terminal 6:45 - How we design new features 8:10 - Meaghan’s favorite Claude Code design elements 9:10 - Tips and tricks for designers using Claude Code (brainstorming with Claude, scoping product development timelines, and making design tweaks after new product releases) Learn more: https://claude.com/product/claude-code
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.
There's never been a better time to be a problem solver. Claude is the AI collaborator that helps you think deeper—whether you're coding, creating, or reimagining what’s possible. Keep thinking. https://claude.com
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
In this episode of JavaScript Jabber, I sit down with Amazon product leader Gunnar Berger to dive into the fast-evolving world of vibe coding and how it’s res
Now Claude can create and work directly with your files, eliminating hours of manual busywork. This doesn't just save time; it brings Claude's analytical power straight into documents, spreadsheets, presentations, and PDFs.
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 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.
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.
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
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
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
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
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
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
Anthropic's Boris Cherny (Claude Code) and Alex Albert (Claude Relations) discuss the current and future state of agentic coding, the evolution of coding models, and designing Claude Code's "hackability." Boris also shares some of his favorite tips for using Claude Code. 0:00 - Introductions 0:39 - The current state of agentic coding 5:20 - The evolution of coding models 7:39 - Coding model evaluation 8:56 - Claude Code user feedback loops 10:34 - The “hackability” of Claude Code (CLAUDE.md, MCP, slash commands) 13:11 - The future of agentic coding 14:49 - How to upskill for agentic coding 17:49 - Claude Code tips and tricks Learn more about Claude Code: http://clau.de/future-of-agentic-coding Check out the Claude Code docs: https://clau.de/claude-code-docs
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.
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
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.
Is the AI industry an unsustainable bubble built on burning billions in cash? We break down the AI hype cycle, the tough job market for developers, and whether a crash is on the horizon. In this panel discussion with Josh Goldberg, Paige, Paul, and Noel, we tackle the biggest questions in tech today. * We debate if AI is just another Web3-style hype cycle * Why the "10x AI engineer" is a myth that ignores the reality of software development * The ethical controversy around AI crawlers and data scraping, highlighted by Cloudflare's recent actions Plus, we cover the latest industry news, including Vercel's powerful new AI SDK V5 and what GitHub's leadership shakeup means for the future of developers.
AI helps people work more efficiently. Unfortunately, this also applies to criminals. We've discovered that our own AI models are being used in sophisticated cybercrime operations, including a large-scale fraud scheme run by North Korea. What is Anthropic doing to detect and prevent AI cybercrime? How exactly are criminals using large language models to scam their victims? And what is "vibe hacking"? In this video, Anthropic's Jacob Klein and Alex Moix answer all these questions and more, discussing their work disrupting AI cybercrime and their new Threat Intelligence report. Read the Threat Intelligence report: https://www.anthropic.com/news/detecting-countering-misuse-aug-2025 Sections: Introduction [00:00] "Vibe hacking" [01:49] Our response to abuses of our models [08:34] North Korea's employment scam [15:02] Ransomware, romance scams, and other abuses [23:50] How concerned should we be? [31:46]
In this episode of JavaScript Jabber, we dive deep into the world of vibe coding—what it means, how it works in practice, and why it’s changing the way deve
Anthropic's Cat Wu (Claude Code) and Alex Albert (Claude Relations) discuss how the Claude Code team prototypes new features, best practices for using the Claude Code SDK and other learnings from building our agentic coding solution alongside developers. Learn more about Claude Code: http://clau.de/prototyping-claude-code Check out the Claude Code docs: https://clau.de/claude-code-docs 0:00 - Introductions 0:26 - How Anthropic prototypes new features with Claude Code 3:43 - Common use cases 5:47 - Usage patterns and "multi-Clauding" 7:13 - Customizing Claude Code (CLAUDE.md, slash commands, and hooks) 8:34 - Overview of the Claude Code SDK 10:13 - Using the Claude Code SDK to build agents 12:10 - Tips and best practices
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'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.
What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models just "glorified autocompletes", or is something more complicated going on? How do we even study these questions scientifically? Join Anthropic's Josh Batson, Emmanuel Ameisen, and Jack Lindsey as they discuss the latest research on AI interpretability. Read more about Anthropic's interpretability research: https://www.anthropic.com/news/tracing-thoughts-language-model Sections: Introduction [00:00] The biology of AI models [01:37] Scientific methods to open the black box [6:43] Some surprising features inside Claude's mind [10:35] Can we trust what a model claims it's thinking? [20:39] Why do AI models hallucinate? [25:17] AI models planning ahead [34:15] Why interpretability matters [38:30] The future of interpretability [53:35]
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
In this episode of JavaScript Jabber, we sit down with Vinicius Dallacqua, a seasoned software engineer with a passion for performance and developer tooling. Vi
Never lose track of your work again. Claude now remembers your past conversations, so you can seamlessly continue projects, reference previous discussions, and build on your ideas without starting from scratch every time.
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.
In this episode of JavaScript Jabber, we welcome back Erik Hanchett, Senior Developer Advocate at AWS, to dive into his experience at VueConf. From the energy o
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.
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.
Visit anthropic.com/solutions/financial-services to learn more about Claude's finance-specific capabilities. Hear directly from Anthropic executives and industry leaders at Claude for Financial Services, where Anthropic leadership and senior financial executives discussed the future of AI in the financial services industry on July 15, 2025 in New York City, USA.
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Du'An Lightfoot, Senior Developer Advocate @ AWS Suman Debnath, Principal Developer Advocate @ AWS Banjo Obayami, Senior Solutions Architect @ AWS
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Ivan Nardini, Developer Relations Engineer, AI/ML, Google Cloud
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Sid Bidasaria, Member of Technical Staff @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speaker: David Hershey, Member of Technical Staff @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Cal Rueb, Member of Technical Staff at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: David Soria Parra, Member of Technical Staff at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Beyang Liu, Cofounder and CTO at @Sourcegraph
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Hannah Moran, Applied AI at @anthropic-ai Christian Ryan, Applied AI at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Hannah Moran, Applied AI at @anthropic-ai Jeremy Hadfield, Applied AI Product Engineer at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Danny Wu, Head of AI Products at @canva
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Craig Wiley, Sr. Director of Product for AI/ML at @Databricks
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Tao Zhang, Head of Product at Manus
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Obie Fernandez, Principal Engineer at @shopify
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Jordan Garcia, Head of AI Engineering, Gamma App Dhruv Amin, Co-Founder and CEO, Create Amar Goel, Co-Founder and CEO, Bito Kevin Michael, Co-Founder and CEO, Tempo Labs Andrew Filev, Founder & CEO, Zencoder Hayk Martiros, Co-Founder and CTO, Riffusion
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Isobel Porteus, Student, Stanford Mason Arditi, Student, UC Berkeley Rohil Agarwal, Student, UC Berkeley Daniel Gao, Student, USC
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 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.
Kent C. Dodds is back with bold ideas and a game-changing vision for the future of AI and web development. In this episode, we dive into the Model Context Protocol (MCP), the power behind Epic AI Pro, and how developers can start building Jarvis-like assistants today. From replacing websites with MCP servers to reimagining voice interfaces and AI security, Kent lays out the roadmap for what's next, and why it matters right now. Don’t miss this fast-paced conversation about the tools and tech reshaping everything.
この記事では、AIコーディングツール（Cursor、Claude、ChatGPT、Windsurf）を活用して高品質な結果を得るための戦略が紹介されています。具体的には、効果的なプロンプトの作成や再利用可能なルールセットの構築など、AIを生産的なコーディングパートナーにするための実践的なヒントが提供されています。特に、XMLタグを使用して特定のアイテムを明確にし、既存のコードベースに基づいてルールを作成することが推奨されています。また、ルールファイルの保存場所や、llm.txtファイルの活用、エラーログのフィードバックなども重要なポイントとして挙げられています。 • AIコーディングツールを使って高品質な結果を得るための戦略を紹介 • 効果的なプロンプトの作成方法を解説 • XMLタグを使用して特定のアイテムを明確にすることが推奨される • CursorルールやCopilotルールの利用が提案されている • 既存のコードベースに基づいてルールを作成する方法が説明されている • ルールファイルの保存場所やllm.txtファイルの活用について言及 • エラーログをAIにフィードバックすることの重要性が強調されている
この記事では、AIを使ったコーディングの方法について、初心者や懐疑的な開発者向けに解説しています。具体的には、Ghost TextやCLIエージェントを利用したインターフェースの構築、AIを活用したアプリの開発方法、埋め込みや関数呼び出し、マルチモデルワークフローの実装について触れています。また、既存のチャットアプリやプロンプトの活用、ストリーミングと非ストリーミングの違い、MCPサーバーの利用方法についても説明されています。最後に、AIと連携するためのnpmライブラリやSDKの紹介も行われています。 • AIを使ったコーディングの方法を初心者向けに解説 • Ghost TextやCLIエージェントを利用したインターフェースの構築 • AIを活用したアプリの開発方法について説明 • 埋め込みや関数呼び出し、マルチモデルワークフローの実装 • 既存のチャットアプリやプロンプトの活用方法を紹介 • ストリーミングと非ストリーミングの違いについて触れる • MCPサーバーの利用方法を解説 • AIと連携するためのnpmライブラリやSDKの紹介
Have you tried it yet? 🎥: Angelica Georges
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.
