BBVA is expanding its work with OpenAI through a multi-year AI transformation program, rolling out ChatGPT Enterprise to all 120,000 employees. Together, the companies will develop AI solutions that enhance customer interactions, streamline operations, and help build an AI-native banking experience.

by Dan Shipper and Kieran Klaassen in Chain of Thought Midjourney/Every illustration. Our last coding camp of the year is Codex Camp—a live workshop about building with OpenAI’s coding agent, open to all Every subscribers on Friday, December 12 at 12 p.m. ET. Learn more and reserve your spot. Was this newsletter forwarded to you? Sign up to get it in your inbox. What happens to software engineering when 100 percent of your code is written by agents? This is a question we’ve had to confront head-on at Every as AI coding has become so powerful. Nobody is writing code manually. It feels weird to be typing code into your computer or staring at a blinking cursor in a code editor. So much of engineering until now assumed that coding is hard and engineers are scarce. Removing those bottlenecks makes traditional engineering practices—like manually writing tests, or laboriously typing human readable code with lots of documentation—feel slow and outdated. In order to deal with these new powers and changing constraints, we’ve created a new style of engineering at Every that we call compound engineering. In traditional engineering, you expect each feature to make the next feature harder to build—more code means more edge cases, more interdependencies, and more issues that are hard to anticipate. By contrast, in compound engineering, you expect each feature to make the next feature easier to build. This is because compound engineering creates a learning loop for your agents and members of your team, so that each bug, failed test, or a-ha problem-solving insight gets documented and used by future agents. The complexity of your codebase still grows, but now so does the AI’s knowledge of it, which makes future development work faster. And it works. We run five software products in-house (and are incubating a few more), each of which is primarily built and run by a single person. These products are used by thousands of people every day for important work—they’re not just nice demos. This shift has huge implications for how software is built at every company, and how ambitious and productive every developer can be: Today, if your AI is used right, a single developer can do the work of five developers a few years ago, based on our experience at Every. They just need a good system to harness its power. The rest of this piece will give you a high-level sense of how we practice compound engineering inside of Every. By the time you’re done, you should be able to start doing the basics yourself—and you’ll be primed to go much deeper. Compound engineering loop A compound engineer orchestrates agents running in parallel, who plan, write, and evaluate code. This process happens in a loop that looks like this: Plan: Agents read issues, research approaches, and synthesize information into detailed implementation plans. Work: Agents write code and create tests according to those plans. Review: The engineer reviews the output itself and the lessons learned from the output. Compound: The engineer feeds the results back into the system, where they make the next loop better by helping the whole system learn from successes and failures. This is where the magic happens. We use Anthropic’s Claude Code primarily for compound engineering, but it is tool-agnostic—some members of our team also use startup Factory’s Droid and OpenAI’s Codex CLI. If you want to get more hands-on with how we do this, we’ve built a compound engineering plugin for Claude Code that lets you run the exact workflow we use internally yourself. Roughly 80 percent of compound engineering is in the plan and review parts, while 20 percent is in the work and compound. Let’s dive in. Become a paid subscriber to Every to unlock this piece and learn about: Why the hardest part of AI coding happens before any code gets written The “money step” that turns every bug into a permanent advantage How compound engineering quickly makes new hires as effective as veterans Subscribe Click here to read the full post Want the full text of all articles in RSS? Become a subscriber, or learn more.

GPT-5.2 is OpenAI’s strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. This post shows how those gains translate into real research progress, including solving an open theoretical problem and generating reliable mathematical proofs.

GPT-5.2 is our most advanced frontier model for everyday professional work, with state-of-the-art reasoning, long-context understanding, coding, and vision. Use it in ChatGPT and the OpenAI API to power faster, more reliable agentic workflows.

OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.

Discover how Podium used OpenAI’s GPT-5 to build “Jerry,” an AI teammate driving 300% growth and transforming how Main Street businesses serve customers.

GPT-5.2 is the latest model family in the GPT-5 series. The comprehensive safety mitigation approach for these models is largely the same as that described in the GPT-5 System Card and GPT-5.1 System Card. Like OpenAI’s other models, the GPT-5.2 models were trained on diverse datasets, including information that is publicly available on the internet, information that we partner with third parties to access, and information that our users or human trainers and researchers provide or generate.

Disney and OpenAI have reached an agreement to bring more than 200 Disney, Marvel, Pixar and Star Wars characters to Sora for fan-inspired short videos. The agreement emphasizes responsible AI in entertainment and includes Disney’s company-wide use of ChatGPT Enterprise and the OpenAI API.

Space missions are entering a new era defined by complexity: more sensors, more software-driven behavior, more tightly coupled subsystems and more interactions between spacecraft and orbital infrastructure. As these systems […] The post How multi-agent AI can strengthen space missions against the unknown appeared first on SpaceNews.

OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.

BISC is an ultra-thin neural implant that creates a high-bandwidth wireless link between the brain and computers. Its tiny single-chip design packs tens of thousands of electrodes and supports advanced AI models for decoding movement, perception, and intent. Initial clinical work shows it can be inserted through a small opening in the skull and remain stable while capturing detailed neural activity. The technology could reshape treatments for epilepsy, paralysis, and blindness.

Scout24 has created a GPT-5 powered conversational assistant that reimagines real-estate search, guiding users with clarifying questions, summaries, and tailored listing recommendations.

OpenAI co-founds the Agentic AI Foundation under the Linux Foundation and donates AGENTS.md to support open, interoperable standards for safe agentic AI.

Learn how OpenAI’s new certifications and AI Foundations courses help people build real-world AI skills, boost career opportunities, and prepare for the future of work.

Denise Dresser is joining as Chief Revenue Officer, overseeing OpenAI’s global revenue strategy across enterprise and customer success. She will help more businesses put AI to work in their day-to-day operations as OpenAI continues to scale.

OpenAI is collaborating with Deutsche Telekom to bring advanced, multilingual AI experiences to millions of people across Europe. ChatGPT Enterprise will also be deployed to help employees at Deutsche Telekom improve workflows and accelerate innovation.

Commonwealth Bank of Australia partners with OpenAI to roll out ChatGPT Enterprise to 50,000 employees, building AI fluency at scale to improve customer service and fraud response.

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On Thursday, December 4, we held a launch event for the North Star Data Center Policy Toolkit—a guide for organizers and policymakers on how to use local and state policy to stop rampant AI data center expansion. The launch event—“North Star Interventions: Using Policy as an Organizing Tool in Our Data Center Fights”—previewed the toolkit’s […] The post AI Now Hosts Report Launch and Organizer Panel on Using Policy to Stop Data Center Expansion appeared first on AI Now Institute.

Researchers have built a fully implantable device that sends light-based messages directly to the brain. Mice learned to interpret these artificial patterns as meaningful signals, even without touch, sight, or sound. The system uses up to 64 micro-LEDs to create complex neural patterns that resemble natural sensory activity. It could pave the way for next-generation prosthetics and new therapies.