OpenAI (@OpenAI)
@OpenAI
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring:
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Sol is our new flagship and a step function better than GPT-5.5.
Terra delivers performance competitive to GPT-5.5 at 2x lower cost.
Luna is our most cost-efficient model, delivering strong capability at our lowest cost.
Together, the GPT-5.6 family gives people and developers more choice in how they balance intelligence, speed, and cost.
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Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
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Work at OpenAI is being transformed by agents, in every department.
Across our entire company, people are using Codex to do work that is more complex, longer-running, and increasingly cross-functional.
Our internal usage offers an early look at how agentic tools may reshape work as they become more capable and broadly available.
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We have a new version of GPT-5.5 Instant for you, and it's much more fun to talk to.
Our most-used model is now better at understanding the intent behind a question and adapting its response accordingly.
It also handles complex constraints more reliably and makes shopping and local recommendations more useful and cohesive.
Rolling out today to paid users, tomorrow to free users.
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We’ve designed and built our first AI chip: Jalapeño.
Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products.
Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.
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GPT-5.5 Instant is now on par with our frontier Thinking models for health-related questions.
Every week, more than 230 million people turn to ChatGPT with health and wellness questions, and GPT-5.5 Instant is better at recognizing when urgent care may be needed, asking for relevant context, explaining uncertainty, and making complex information easier to understand.
Because GPT-5.5 Instant is available to all free users in ChatGPT, these improvements can help more people.
Physician-led evaluation was critical to making these major intelligence gains.
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Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI showing how o3 Deep Research helped clinicians revisit previously unsolved rare pediatric disease cases, and find answers for families who had waited years.
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GPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result.
Paired with Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery.
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We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate model responses.
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Let’s talk about evals.
We’re always looking for better ways to measure and forecast model progress, especially as benchmarks get saturated or gamed.
@tejalpatwardhan, who leads our frontier evals team, spoke to @andrewmayne about why evals matter and what models need to be judged on next.
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For the next two weeks, Plus and Pro users can invite up to three friends to try Codex.
When a friend sends their first Codex message, you’ll both get another banked reset.
We heard you wanted to use Codex rate limit resets on your own time.
Starting today, we’re rolling out the ability to save rate limit resets to use later.
We’re starting Go, Plus, Pro, and Business users with one free reset:
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What happened when one of our models found a counterexample to an 80-year-old Erdős conjecture?
Researchers @alexwei_, @HongxunWu, and @wjmzbmr1 shared the story on the OpenAI Podcast with @AndrewMayne and explained how mathematicians and models can work together to make new discoveries.
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With the new memory system, you can review and steer what ChatGPT remembers through a memory summary, with more visibility and control over how context is used.
We’re building ChatGPT to remember what matters, follow your preferences and constraints, and adapt as things change.
If you tell ChatGPT you’re planning a trip in July, memory should understand when the trip is upcoming, happening, and already over.
That helps ChatGPT keep giving relevant answers as context changes.
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We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time.
Today, that work is rolling out as a more capable memory system in ChatGPT.
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Bring your briefs to life.
The creative production plugin for Codex.
Translate data into answers.
The data analytics plugin for Codex.
We’re making Codex more useful for your work by expanding plugins beyond individual tools.
These plugins turn Codex into a specialist for a specific role with a single install, no coding required.
Codex can access 62 popular apps and 110 skills for work across sales, data analytics, creative production, product design, and public equity investing.
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