Global AI Native Industry Insights – 20260629 – OpenAI | Runway | GitHub | more
OpenAI unveils GPT-5.6 trio; Runway launches Agent 2.0 features. Discover more in Today’s Global AI Native Industry Insights.
1. OpenAI Launches Limited Preview of GPT-5.6 Family: Sol, Terra, and Luna
OpenAI has begun a limited preview of the GPT-5.6 model family, comprising three variants: GPT-5.6 Sol, the flagship next-generation frontier model; GPT-5.6 Terra, a balanced lower-cost option for everyday professional work; and GPT-5.6 Luna, the fastest and most cost-efficient model designed for high-volume tasks. The GPT-5.6 family advances capabilities in software engineering, computer use, professional knowledge work, scientific research, and cybersecurity. During the preview, the models are available via the OpenAI API and Codex to a limited group of trusted partners and organizations, and are not yet available in ChatGPT. OpenAI plans to make the full family generally available in ChatGPT, Codex, and the API in the coming weeks.
Read more: https://openai.com/index/previewing-gpt-5-6-sol/
Video Credit: NotebookLM
2. Runway Launches Agent 2.0 with Marketing Brief Generation and Campaign Asset Creation
Runway has announced Agent 2.0, a new version of its Runway Agent product that enables users to go from a text prompt to fully realized marketing briefs and campaign assets. The update also introduces performance data analysis capabilities to help users refine creative work and scale it across platforms, formats, and markets. Runway describes Agent as being built toward becoming a capable autonomous agent for real-world work.
Read more: https://x.com/runwayml/status/2070215480401604954
Video Credit: @runwayml on X
3. GitHub Copilot Agentic Harness Matches Model-Vendor Harnesses on SWE-bench and Related Benchmarks
GitHub has published benchmark results showing its Copilot agentic harness performs on par with model-vendor harnesses across five coding benchmarks: SWE-bench Verified, SWE-bench Pro, SkillsBench, TerminalBench, and Win-Hill. The evaluation held the model and task constant across configurations to isolate harness performance as the variable. Results showed task resolution rates comparable to vendor-native harnesses, with lower token usage in most configurations. GitHub noted that Copilot currently supports more than 20 models, allowing developers to choose between efficiency and peak quality depending on the task.
Video Credit: NotebookLM
4. 5 Ways to Learn with Study Notebooks in the Gemini App
Google has launched Study Notebooks, a new dedicated learning space within the Gemini app that functions as a personalized, adaptive tutoring platform. Students can upload course materials — syllabi, notes, PDFs — to receive a diagnostic quiz that identifies their strengths and knowledge gaps. From there, Gemini generates bite-sized, targeted lessons with follow-up quizzes that continuously update based on performance. A real-time progress dashboard tracks over 100 learning objectives, categorizing them as “Strengths,” “Focus Areas,” or “Not Started.” The feature also supports standardized exam prep (SAT, GRE, ACT via Princeton Review) and syncs with NotebookLM for flashcards, infographics, and more. Study Notebooks are free, rolling out globally on web, with mobile and school-issued account support coming later in summer 2026.
Read more: https://blog.google/innovation-and-ai/products/gemini-app/gemini-study-notebooks
Video Credit: @Google on X
That’s all for today’s Global AI Native Industry Insights. Join us at AI Native Foundation Membership Dashboard for the latest insights on AI Native, or follow our linkedin account at AI Native Foundation and our twitter account at AINativeF.