The Aivangelist Exploring AI: Unity's ML-Agents, ChatGPT Prompts, and Creative Challenges - Continued

Hey All!

I hope you all are having a wonderful Saturday! Today we are back to our standard format. I did a little scrying, spoke with the ChatGPT about navigating the Singularity, and pulled a few more prompts to help us improve our workflow and research… As well as a few other goodies.

3 ChatGPT Prompts:

• Create a [____], Format it as a CSV, and provide instructions on how to copy it from here and import it into a spreadsheet program

  • Example: Create a Simple Budget Planner, Format it as a CSV, and provide instructions on how to copy it from here and import it into a spreadsheet program

• What are the 10 Best Practices for [____]?

  • What are the 10 Best Practices for Web Development?

• What is the First thing I should know when learning [____]

  • What is the First thing I should know when learning [about AI Art]

More on Unity AI

Unity's official blog discusses the potential of AI and Machine Learning (ML) in game development and content creation. Here's a summary:

Democratizing Game Development: Unity believes that AI and ML can reduce complexity, speed up creation, and unlock new ideas, making game development more accessible to a broader range of creators.

Generative AI: Unity sees the current explosion of generative AI as an opportunity to enhance game development further. They believe that productive AI tools will complement existing tools and workflows, helping creators do more by filling skill sets and resource gaps.

Unity Editor and Runtime: The Unity Editor and runtime are key to Unity's AI strategy. More people use the Editor to create games and other real-time 3D experiences than any different workflow. The runtime powers most real-time applications worldwide, making 3D content interactive and available on almost any device.

Inference at Runtime: Unity is working on a technology code-named "Barracuda" that moves inference (feeding data through a machine learning model) to runtime. This could enable new forms of interaction in games, such as more lifelike NPCs and user-generated content.

Training AI Models: Unity enables the real-time training of models based on unique datasets produced to create and operate real-time 3D experiences. This can help build richer services and provide extraordinary capabilities for partners.

The Unity Network: The Unity Network, which includes analytics tools, ad networks, publishing systems, and cloud services, reaches over 4 billion monthly users. Unity has been using neural networks to optimize systems for user acquisition, engagement, and monetization for over three years.

Future of AI at Unity: Unity sees generative AI as a tool to help developers achieve more with fewer resources. They are working on new tools and services related to AI and will be sharing more about their vision for AI at Unity in the coming months.

You can read the full blog post here.

The End!