Joined January 2011
292 Photos and videos
Tara Seshan retweeted
a few months ago in an interview, someone asked me where we wanted to take the codex app. i answered with something along the lines of: we intend to make it the best app ever built for desktop, full stop. it probably felt like a little much, but i meant it. and it feels less potentially hyperbolic now than it did then. Codex is the best way to build software. it is now the best way to do many other things too. we will lean into both, and much of it will mean we blend a lot with ChatGPT. we will do this only when we can deliver something incredible and better than what the two separate current things can deliver alone. we will also combine the best parts of cloud and local environments (and yes, windows linux). and the best of instant responses and long-running objectives, like /goal. we will do so with Taste™ outside of the incredible gpt models, 3 things have made the Codex app what it is: - an opinionated view of how agents should work with a high quality bar - a tight and honest dogfooding loop - you those 3 things will continue to be P0. LFG.
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Tara Seshan retweeted
Codex now has more than 5M weekly active users. But the bigger story is what people are using it for: not just writing code, but getting more work done across research, analysis, content, and operations. Our new report on how Codex is becoming a productivity tool for knowledge work: openai.com/index/codex-for-k…
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Tara Seshan retweeted
Jun 1
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new way to build on Amazon Bedrock with OpenAI through the security, compliance, and governance workflows they already use. This is also the beginning of a broader expansion of OpenAI capabilities on AWS, including future availability for cybersecurity capabilities like Daybreak. openai.com/index/openai-fron…
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Gonna be hard to compete with someone having more fun than you. 😈
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Tara Seshan retweeted
Apr 23
Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.
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I’m retweeting this because 1) I am most excited by making quality healthcare more accessible via AI 2) my siblings can use this product every day at their jobs, @MayaSeshan @amrita_ayer 🥲
Today we’re introducing two big steps for health at OpenAI: - ChatGPT for Clinicians, a free version of ChatGPT designed for clinical work - HealthBench Professional, a new benchmark to evaluate real clinician chat tasks We’re excited about what this can unlock for care. ❤️
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Team is coooooooking! 🧑‍🍳
Excited to announce ChatGPT for Google Sheets! This was a really fun one to work on. Create new sheets, ask questions across tabs and formulas, and make updates directly in your sheets chatgpt.com/apps/spreadsheet…
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Linear 🤝 OpenAI caring about polish, craft, design
Apr 22
Workspace agents in ChatGPT can pull context from Linear, create issues, and move work forward. No need to ask twice.
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If you try the agents product in ChatGPT, you'll notice incredible levels of detail and polish. Includes but is not limited to: * agent mascots * amazing animations * thoughtful UX * ...and more @tylernotfound, @zach__johnston & team responsible for a whole lotta that.
We shipped some valuable software today - bringing the magic of Codex to agents you can deploy straight from ChatGPT!
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Tara Seshan retweeted
Excited that Agents are live! These are like GPTs on steroids. Like mini OpenClaws. You give them skills, tools, and files so they can do a lot more work. You can add them to channels like Slack so you can communicate with them there. You can run them on schedules so you can automate work. And, big bonus: You can add memory so they can remember past actions, preferences, and other information as you work with them. OpenAI is cooking.
Apr 22
Introducing workspace agents in ChatGPT—shared agents that can handle complex tasks and long-running workflows across tools and teams.
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Xursor? Xsor? What will it be!?
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Tara Seshan retweeted
ideal tech couple: vertical saas ai boyfriend, frontier lab girlfriend gotta hedge your career bets in case one eats the other
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Tara Seshan retweeted
Today, we’re launching a Rather Large™ update to the OpenAI Agents SDK. Agents SDK now allows you to scale Codex-style agents in production, without building the whole harness yourself. We’ve brought all of the stuff of modern agents: computer-use, skills, memory, compaction, and more to the same platforms you’re already using.
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Absolutely adore this piece from Lena Dunham that gives you a real sense of the joy and chaos of trying to make great things with other people when you're all still figuring it out. newyorker.com/magazine/2026/…
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Tara Seshan retweeted
The AI labs have actually done a bad job explaining what the future they are building towards will actually look like for most of us. Even “Machines of Loving Grace” has very few well-articulated visions of what Anthropic hopes life will be like if they succeed at their goals.
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i just want to build great things with my friends. at a really intense pace!
Most people think what keeps a company going is the mission or the money. Founder of @doordash Tony Xu (@t_xu) disagrees: "I think it's really important and undervalued to have genuine friends at work. This can't just be about financial success or commercial success or some professional success on the resume. There is this adventure that we're on, on this worthy, eternal mission. At least we're going to die trying. Worst case, we're going to die trying. What gets you through the next day isn't thinking about DoorDash as much as I just want my teammate to be successful."
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Is the @msiliski two pager format anywhere on the Internet? 😊 The best way to review team stack rank and metrics, hands down. cc @stevehind as a person who also might have it?
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@msiliski any chance you can share 🙏🙇🏽‍♀️
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It feels like the AI dystopia we keep imagining — jobless businesses, mass displacement, hedonistic collapse — isn’t inevitable. It’s partly a failure of imagination. We’re bad at picturing and discussing the jobs that *will* exist.
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Machines of Loving Grace gestures at this but doesn’t resolve it — and tbh, how could it? The question is too big. But it’s the moral stakes of knowledge worker automation: in past tech revolutions, humans found new niches. If AGI is categorically different, what happens to ppl?
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All the credible takes either 1) underestimate the tech (not sufficiently AGI pilled) or 2) are aimed at ai researchers and just point to a mysterious/vague “and everything will be great, abundance for everyone, UBI, just you wait!!”
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