Whats the latest on AI and Grasshopper?

Hello, wondering if any1 has done any research on what the latest AI tools are for grasshopper rhino. Lets make this a topic about AI and Grasshopper. How are people using AI in their modeling/designs? Are people making custom components using gpt to code? Are people translating all their long grasshopper scripts to python or C++ using gpt to make everything under 1 component? Some ideas.

When I search this forum I find very little topics on AI + grasshopper + architecture design. Looks like AI is being used more for just rendering. Feel free to share render tools too.

Whats the latest ChatGPT type plug in?

Anyone have any cool leads, articles, videos, tutorials, extensions, plug ins?

Thanks!

Although I want to make this thread more about the latest tools and what people are doing with AI.

Here is a summary of the thoughts on AI and design I found on this forum. (yes i used gpt to summarize all the posts)
**

:blue_square: Pro-AI Themes (Excitement, Utility, Workflow Benefits)

AI as a Useful Creative Tool

  • Viewed as a faster, more flexible “render engine” rather than a replacement for artists.

  • Great for quick ideation, moodboards, thumbnails, and concept exploration.

  • Helps communicate ideas to clients without needing hours of setup or rendering.

Increased Accessibility

  • Lowers the skill barrier for beginners or non-technical creatives.

  • Allows solo designers to work as if they have a small team.

  • Empowers people who can visualize ideas but lack advanced 3D or rendering skills.

Workflow Acceleration

  • Saves time on repetitive or technical tasks.

  • Enables rapid iteration and experiment-heavy design processes.

  • Can boost productivity and profitability for freelancers or small studios.


:red_square: Anti-AI Themes (Concerns, Risks, Cultural Fallout)

Loss of Craft and Artistic Journey

  • Fear that the “process” that gives art meaning is being erased.

  • Worries that mastery, learning, and skill development will become irrelevant.

  • Concern that everything will look polished but empty, lacking intentional human touch.

Erosion of Community

  • Historically, artists shared WIPs, mistakes, experiments, and growth.

  • AI bypasses that culture, reducing engagement to uploading and prompting.

  • Many fear community knowledge and DIY spirit will disappear.

Aesthetic & Compositional Flaws

  • AI outputs can feel uncanny, disjointed, or “approximate.”

  • Lacks the deep intentionality of human design choices.

  • Often produces images that look good at a glance but break apart on scrutiny.


:yellow_square: Societal, Environmental, and Economic Concerns

Environmental Impact

  • Large data centers consume enormous energy and water.

  • Efficiency benefits don’t necessarily offset ecological cost.

Corporate Control & Dependency

  • AI shift accelerates subscription lock-in and corporate monopolization.

  • Users worry their tools, workflows, and data are fully controlled by big companies.

Industry & Job Displacement

  • Some studios already replacing illustrators, designers, and concept artists.

  • Fear of widespread “economic deskilling” where fewer jobs require human expertise.

  • Anxiety about the long-term value of learning any creative or technical skill.

Unstable Economics of AI Companies

  • Massive burn rates and unprofitable business models raise questions about sustainability.

  • Speculation that the whole ecosystem may be inflated or financially fragile.


:green_square: Shared Middle Ground / Mixed Feelings

AI Is Useful but Problematic

  • Many agree it’s powerful and convenient, yet artistically or ethically troubling.

  • Tension between enjoying the speed and feeling guilty or uneasy about the implications.

Human Direction Still Matters—for Now

  • Consensus that AI is best when guided by human taste, vision, and iteration.

  • But anxiety about how long that will remain true as systems improve.

Acknowledgment That AI Isn’t Going Away

  • Even skeptics accept that the tools are already embedded in industry pipelines.

  • The real debate is not whether AI will be used, but how it should be integrated responsibly.

Too many points. I asked a LLM to condense.

Pro-AI Render acceleration for ideation/moodboards/client communication. Accessibility for non-technical users. Time savings, rapid iteration, productivity gains.

Anti-AI Process and mastery becoming irrelevant. Community knowledge-sharing culture (WIPs, techniques) disappearing. Outputs lack intentionality—surface plausibility, compositional incoherence. Environmental cost, corporate lock-in, job displacement, deskilling anxiety. Unsustainable business models.

Middle Ground Useful but problematic. Human direction still differentiates. Already embedded—debate is integration methodology, not adoption.

I am in the middle ground.
Use AI for coding to build tools not output.
Yes, converting large swathes of Grasshopper spatial operations into compact Python nodes. My own 3D math and python capabilities will never equal the output that Claude and Cursor are able to deliver.

*(To be honest, there is a tension to publicly acknowledging using AI for coding. I should be able to code better. I should know matrix translations. There is an imposter syndrome aspect to it. It is a very productive coding process, but I don’t want to be one of those “AI FOMO guys” that talks about it like their first experimentation in university, with myopic glowing evangelism.
I don’t want my output called into question due to perceived AI taint.
This judgment structure probably affects others, being judged as less capable for taking a shortcut that is surrounded by current hype context.
I do not expect a big discussion uptake here from those using LLM tools., and personally don’t expect to say much more on the subject.
)

well, that would indeed be Raven. A general purpose Grasshopper Assistant that can read your scripts, create parametric models and even use plugins.

There’s also other things like GhGPT, but they’re far less advanced and user friendly as of now

Max

Try out SmartHopper, an open-source AI assistant that is fully integrated into the Grasshopper canvas. And this plugin is more than just a chat assistant; it also includes many new AI-powered components for performing small operations on native Grasshopper data, lists, etc., opening up a new world of possibilities. Please share your thoughts at: SmartHopper - A deeply integrated AI assistant for Grasshopper

Shameless plug: Worth mentioning Runchat’s Grasshopper plugin here too. Runchat takes a different approach from Raven/Ant. Rather than writing GH definitions for you, it adds nodes that connect Grasshopper to external AI services directly on the canvas.

So you get components for image generation (Nanobanana, Flux, SDXL, etc.), text-to-3D mesh (Trellis, Hunyuan3D), code generation where an LLM writes RhinoCommon scripts and web search all wired into your existing parametric definitions.

Runchat plugin is free, you can BYO api keys for Gemini / Fal, install from PackageManager or more info here: docs.runchat.com/plugins/grasshopper

Some people use ai for funny Rhino memes.