This is the very first test entry generated by the GitHub → WordPress pipeline. If it shows up as a styled card under the AI Patch Notes shell, everything’s wired correctly.

Impact: Medium — Confirms end-to-end publishing works.

OpenAI launched **GPT-5** and began rolling it out as the **default** model in ChatGPT, retiring many older variants (e.g., GPT-4o/4.1/4.5) and removing the manual model picker in favor of an auto-switching system. GPT-5 emphasizes faster, more reliable reasoning and better coding performance, and it’s available across ChatGPT tiers and the API.

Impact: High — New baseline capabilities; prompts may behave differently vs. GPT-4-era models.

**Study Mode** is now available to **ChatGPT Edu** and **ChatGPT Enterprise** users on iOS, Android, web, and desktop. It asks interactive questions, adapts to skill level, and guides you to solutions collaboratively across any available model in ChatGPT.

Impact: Medium — Great for onboarding and training; improves explain-while-you-work flows.

With GPT-5’s rollout, ChatGPT **removed the manual model picker**. A new **single auto-switching system** routes requests to the right underlying capability, simplifying the UI and reducing friction for everyday use.

Impact: Medium — Fewer knobs; some advanced users may miss explicit model selection.

OpenAI introduced **ChatGPT Go**, a **low-cost plan** initially available in **India** (₹399/month). It includes more messages, larger file uploads, expanded image generation, access to Advanced Data Analysis, and longer memory compared to Free.

Impact: Medium — Big win for teams and individuals in India; no change elsewhere (yet).

OpenAI’s **ChatGPT Team/Enterprise** release notes in August call out **additional connectors** and management tweaks (rolling updates across the month). Expect smoother retrieval from integrated sources and small-but-useful admin improvements.

Impact: Medium — Cleaner IT rollout; better “ask ChatGPT about company docs” reliability.

Alongside GPT-5, OpenAI published system/safety materials describing a shift toward **output-centric safety training** (moving beyond blunt “hard refusals”). Expect guardrails that aim for safer, more useful responses rather than blanket denials.

Impact: Medium — Fewer “why did it refuse?” head-scratchers; still evolving in edge cases.

GitHub rolled out an **"Agents Panel"**—a mission-control style popup overlay—for **GitHub Copilot (public preview)**. Now paid Copilot subscribers can initiate and manage coding tasks directly from any GitHub page—drafting code, running tests, generating PRs—without switching to Issues or an IDE. Copilot acts more like a team member than an autocomplete tool, right within your browser.:contentReference[oaicite:1]{index=1}

Impact: High — Seamless task delegation directly in GitHub streamlines agent workflows and reduces context-switching.