9 deployments dated April 20 to 26, 2026 are in The Deploy Log: 3 leads, 1 in Models and APIs, 3 in Tools and products and 2 in Breakthroughs, from 3 publishers. They include ChatGPT for Clinicians from OpenAI, GPT-5.5 from OpenAI, Workspace agents from OpenAI, DeepSeek-V4 from Hugging Face, Codex Labs from OpenAI and 4 others. Every item sourced to the publisher's own page.
ChatGPT for Clinicians is now available for free to verified physicians, NPs, PAs, and pharmacists in the U.S. It includes frontier models, trusted clinical search, deep research across medical journals, and CME credit from real clinical questions.
GPT-5.5 and GPT-5.5 Pro are now available in the API, rolling out to Plus, Pro, Business, and Enterprise users in ChatGPT and Codex. Terminal-Bench 2.0 hits 82.7%, GDPval 84.9%, OSWorld-Verified 78.7%, and Tau2-bench Telecom 98.0% without prompt tuning.
Workspace agents are now generally available in ChatGPT Business, Enterprise, and Edu. They run in the cloud, keep working when you are away, and can be deployed in Slack. Free until May 6, 2026, then credit-based pricing.
DeepSeek released V4 today with two MoE checkpoints on the Hub: DeepSeek-V4-Pro at 1.6T total parameters with 49B active, and DeepSeek-V4-Flash at 284B total with 13B active, both with a 1M-token context window.
OpenAI is launching Codex Labs and partnering with Accenture, Capgemini, CGI, Cognizant, Infosys, PwC, and Tata Consultancy Services to bring Codex to enterprises, with weekly Codex usage growing from more than 3 million to more than 4 million developers in two weeks.
Hyatt has deployed ChatGPT Enterprise across its global corporate and hotel workforce, with departments including finance, marketing, and operations using it to improve guest experience.
Google introduced a new approach for editing images, now live in the Auto frame feature in Google Photos, allowing users to re-imagine photos from a new perspective after they have been taken.
Google introduced ReasoningBank, a novel agent memory framework that uses successful and failed experiences to distill generalizable reasoning strategies, enabling an agent to continuously learn from experience after deployment.