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Home»Chatbots»Let ChatGPT chatbot code your 3D space
Cube array visualized in Unity based on ChatGPT instruction
Unity cube array based on ChatGPT instruction
Chatbots

Let ChatGPT chatbot code your 3D space

Walter SchärerBy Walter Schärer15. Januar 2023Updated:15. Januar 2023Keine Kommentare3 Mins Read
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ChatGPT by Open AI is an amazing chat bot. It can even come up with instructions and code for 3D tools like Blender, Unreal Engine or Unity.

Chatbot ChatGPT by Open AI for coding

Open AI’s ChatGPT is all over the place since its release 3.5 in late 2022. «GPT» stands for its «generative, pre-trained transformer» algorithm.

For my first test, I go all out and task the chatbot with providing me with a Python coding script for the 3D modeling tool Blender that creates an array of cubes in space.

Here’s the prompt I feed the chatbot:


ChatGPT prompt asking for a Python script for Blender.
Prompt for ChatGPT asking it for a Python script


And this is the chatbot’s response, including actual code that I copy and paste into Blender:


ChatGPT's Python code for Blender
ChatGPT's Python code including instructions how to use the code


Once the script is copied into Blender’s scripting module, the renderer produces the desired array of cubes.


Cube array rendered in Blender based on ChatGPT code
Cube array as rendered in Blender


When I ask the chatbot to come up with the same for the 3D tool Unity, it produces the respective instruction including the C# script:


Instruction and C# script to build an array of cubes in Unity
Instruction and C# script to build an array of cubes in Unity


Which produces the respective visualization.

Below is Google’s «competing» result list:


Cube array visualized in Unity based on ChatGPT instruction
Unity cube array based on ChatGPT instruction
Google result list showing less quality results than ChatGPT
Google's result list for the same briefing.


Now, this offers all sorts of shortcuts for different tasks, think writing and debugging code or much simpler things like writing articles, emails and what not.

Apparently, the more specific the instruction, the more impressive the results.

I suggest you test the chatbot in your domain of activity. I’m blown away!

In the future, instead of asking Google for an instruction, I will first ask ChatGPT.

Here’s another example of ChatGPT’s superior service level when trying to achieve something in a software tool:


Google SERP on how to write text in Blender with Python
Google's result list promises a lenghty search experience.

Google's LaMDA chatbot

It’s a shame that ChatGPT garners all the praise because allegedly Google offers an even stronger chatbot called LaMDA. 

Potentially they better release it into the wild because users are very flexible. When Google first published their search engine in 1996, it felt like two weeks before nobody was using Altavista anymore.

«Let me Google that for you» did an amazing job at showing everybody just how much better Google’s new search engine was.

So from now on we may as well «chat things up» instead of googling them.

Inventor's dilemma: Google's "Kodak-moment"

With ChatGPT entering into ever more fields of application, e.g. powering Microsoft’s Bing search engine, Google will need to make up their mind:

  • Stick with the «old» model of monetizing result lists and risk becoming obsolete
  • Embrace the chatbot principle with direct answers instead of result lists and find a new monetizing model that may not make up for today’s revenues any time soon

Here are a few reasons why Google is holding back their own LaMDA chatbot

And here’s a New York Times write-up on Google rating ChatGPT a «Code Red» as of December 2022.

And here are six startups, that may end the days of search engines as we know them and put chatbots in place instead. Chatbots look poised to become the standard interface for human-machine interactions.

Much like described in Neil Stephenson’s sci-fi novel Snow Crash. In which he famously coined the term «Metaverse».

Chatbot
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Walter Schärer
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Walter Schärer bloggt über Internet-Trends im Online Marketing, Social Media, Blogs, Web Analytics, SEO, Mobile und so.

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Über Walter Schärer

Dies ist Walter Schärers Blog über Internet-Themen wie Online Marketing, Search Engine Optimierung (SEO) oder Content Marketing.

Walter Schärer arbeitet seit 1994 als Scrum Product Owner und Online-Manager im Web-Umfeld.

Von HTML/VRML kam er via Powerpoint/Word zu Confluence/Jira dann Trello/Whiteboard und organisiert sich aktuell mit Asana/Google Drive, wenn er nicht gerade mit Blender/Python oder WordPress/Elementor experimentiert.

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