Codex has transformed how OpenAI builds over the last few months. Have some great upcoming models too. Amazing work by the team!

You can now interrupt long-running queries and add new context without restarting or losing progress. This is especially useful for refining deep research or GPT-5 Pro queries as the model will adjust its response with your new requirements. Just hit update in the sidebar and type in any additional details or clarifications.

Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's what we're building at Applied Compute. We unlock the latent knowledge inside a company, use it to train custom models, and deploy an in-house agent workforce that reports to your team. We work with sophisticated companies that have already captured early gains from general models, like @cognition, @DoorDash, and @mercor_ai. They’re pulling even further ahead with proprietary in-house agents that don’t need to wait for the next public model release. Together, we are building and validating models and agents in days instead of months, achieving state-of-the-art performance on customer evals. Our team has high density and low latency. Our founders all worked on different parts of this problem while they were researchers at OpenAI — @ypatil125 as a key member on the agentic software engineer effort (Codex), @rhythmrg as a core contributor to the first RL-trained reasoning model (o1), and @lindensli as a core contributor on ML systems and infrastructure for RL training. Two-thirds of the team are former founders, and everyone brings a deep technical background, from top AI researchers to Math Olympiad winners. We are backed by $80M in funding from Benchmark, Sequoia, Lux, Elad Gil, Victor Lazarte, Omri Casspi, and others. With their support, we are growing the team, scaling deployments, and bringing to market the first generation of agent workforces built on specific models. In short: 1. We are building Specific Intelligence for specific work at specific companies. 2. That will power in-house agent workforces to support their human bosses. 3. That in turn will unlock AI’s full potential through humanity’s greatest engine of progress: thriving corporations in a free market.

🧵Today we’re sharing more details about improvements of the default GPT-5 model in responding to sensitive conversations around potential mental health emergencies and emotional reliance. These changes reflect the careful work of many teams within OpenAI and close consultation with experts - including more than 170 mental health clinicians.

We’ve acquired Software Applications Incorporated, the maker of Sky—a natural language interface for Mac. openai.com/index/openai-acqu…

We've received incredible feedback since launching our new browser, ChatGPT Atlas, yesterday. We're really focused on building the best product for all of you, and since launch, the team has been heads down making it better. In the spirit of transparency, these are the very short-term things we're fixing over the coming weeks, though some may take a little longer (profiles, tab groups, opt-in ad blocker). If you have more suggestions for us, let us know! There are other things we're working on, but those may involve partners, and we've left those off this list

Meta changed its policies so 1-800-ChatGPT won't work on WhatsApp after Jan 15, 2026. Luckily we have an app, website, and browser you can use instead to access ChatGPT.