Engineering workflows require translating logic into executable, physical solutions. Anupam Pathak, an R&D lead in Google’s Platforms and Devices division, tested Gemini 3 Deep Think to accelerate the design and prototyping of complex physical components.
Taking in text prompts and image references, Deep Think reasoned through geometric constraints, Deep Think reasoned through the geometric constraints required to generate a 3D-printable turbine blade design—a task that typically requires specialized CAD expertise.
Learn more at https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think
___
Subscribe to our channel https://www.youtube.com/@googledeepmind
Find us on X https://twitter.com/GoogleDeepMind
Follow us on Instagram https://instagram.com/googledeepmind
Add us on Linkedin https://www.linkedin.com/company/deepmind/
Choose to Build with AI
Matched to Generative AI
AI Maker Residence 3
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code.
Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
◆ Fri 09 Oct 2026◆ KOKO Cafe, London◆ With Nick Sarafa
