Today we’re announcing new funding—$40B at a $300B post-money valuation, which enables us to push the frontiers of AI research even further, scale our compute infrastructure, and deliver increasingly powerful tools for the 500 million people who use ChatGPT every week.

Welcome to the next stage of large language models (LLMs): reasoning. LLMs have transformed how we process and generate text, but their success has been largely driven by statistical pattern recognition. However, new advances in reasoning methodologies now enable LLMs to tackle more complex tasks, such as solving logical puzzles or multi-step arithmetic. Understanding these methodologies is the central focus of this book.

by Dan Shipper in Chain of Thought DALL-E/Every illustration. The pace of AI development is moving extremely fast—so fast that it's not uncommon for us to look back on what we wrote and see that the future we were describing is here. Dan Shipper's piece about the importance of generalists over specialists in the AI age from six months ago holds true more than ever. He reframes what it means to be a generalist—not just someone with shallow knowledge across multiple domains, but a curious, adaptable problem-solver who thrives in environments where rules are unclear and patterns aren't obvious. In an allocation economy, the winners won't be those who know all the answers, but those who know which questions to ask in the first place.—Kate Lee  Was this newsletter forwarded to you? Sign up to get it in your inbox. A common refrain I hear is that in the age of AI, you don’t want to be a “jack of all trades and a master of none.”For example, my good friend (and former Every writer) Nat Eliason recently argued: “Trying to be a generalist is the worst professional mistake you can make right now. Everyone in the world is getting access to basic competence in every white-collar skill. Your ‘skill stack’ will cost $30/month for anyone to use in 3-5 years.” He makes a reasonable point. If we think of a generalist as someone with broad, basic competence in a wide variety of domains, then in the age of AI, being a generalist is a risky career move. A language model is going to beat your shallow expertise any day of the week. But I think knowing a little bit about a lot is only a small part of what it means to be a generalist. And that if you look at who generalists are—and at the kind of mindset that drives a person who knows a lot about a little—you’ll come to a very different conclusion: In the age of AI, generalists own the future. What generalists are Become a paid subscriber to Every to unlock the rest of this piece and read about: Generalists: Masters of the uncertain AI's limitations in novel problem-solving How the allocation economy favors adaptable minds Why asking the right questions trumps knowing all the answers Subscribe Click here to read the full post Want the full text of all articles in RSS? Become a subscriber, or learn more.

Moving from intent-based bots to proactive AI agents.

At OpenAI, we proactively adapt, including by building comprehensive security measures directly into our infrastructure and models.

At OpenAI, we have long believed image generation should be a primary capability of our language models. That’s why we’ve built our most advanced image generator yet into GPT‑4o. The result—image generation that is not only beautiful, but useful.

4o image generation is a new, significantly more capable image generation approach than our earlier DALL·E 3 series of models. It can create photorealistic output. It can take images as inputs and transform them.

Hebbia’s deep research automates 90% of finance and legal work, powered by OpenAI

Online resource hub will support AI literacy and help people from all backgrounds access tools, best practices, and peer insights to use AI.

OpenAI has grown a lot. We remain focused on the same core—pursuing frontier AI research that accelerates human progress–but we now also deliver products used by hundreds of millions of people.

An OpenAI and MIT Media Lab Research collaboration.

By integrating its data systems with OpenAI’s LLMs, Booking.com delivers smarter search, faster support, and intent-driven travel experiences.

For the first time, developers can also instruct the text-to-speech model to speak in a specific way—for example, “talk like a sympathetic customer service agent”—unlocking a new level of customization for voice agents.

"The Space Force recognizes the critical role that data and artificial intelligence will play in maintaining space superiority" The post Space Force unveils strategic plan for AI integration appeared first on SpaceNews.

A conversation with Minna Song, CEO & Co-founder of EliseAI.

Join us as we share our latest releases and how ChatGPT is becoming more interactive, customized to the way your teams work, and agentic.

German startup constellr released first-light imagery from the initial satellite in its thermal-imaging constellation. The post Constellr releases first-light imagery of Tokyo appeared first on SpaceNews.

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We welcome the court’s March 4, 2025, decision rejecting Elon Musk’s latest attempt to slow down OpenAI for his personal benefit.

Golden Dome will require more than just deploying sensors and interceptors. The system needs a 'collaborative autonomous network' The post L3Harris taps commercial AI partners for Pentagon’s Golden Dome program appeared first on SpaceNews.