Devlog 1 - Conducting Research for Game Design


Devlog Chapter By: Fangzhou Zhu

I initially choose social media as my area of research, because social media has fundamentally changed the way people communicate, access information, and interact globally. Platforms like Facebook, Instagram, and TikTok have become dominant forces, influencing not only personal relationships but also business operations, educational practices, and political participation. While social media offers numerous benefits, including enhanced connectivity and rapid information sharing, it also presents significant challenges, particularly concerning mental health, productivity, and social dynamics. The research aims to analyze the impact of social media on society, focusing on how its use affects individual well-being and interpersonal relationships. Later, when I joined the group, the group decided to focus primarily on AR and VR, but social media could also play a significant role in the group's projects. For example, could social media be used to enter the AR world in the game


Devlog Chapter By: Hudson

For my research paper I dove into learning about the intricacies of Artificial Intelligence, and how it fundamentally works. Going into my topic I had already understood how large language model worked such as Chat-GPT. The GPT standing for “Generative Predictive Text”

These models use the text prompts and convert to higher dimensional vectors. Since computers can’t understand language, let alone sentence structures, it will convert a prompt into a long string of numbers.

“This is an example” >> ”[0.70, 0.25, 0.30, 0.88, 0.42, 0.11, 0.25, 0.33] “

After it does this conversion, it will then look for similar numbers to string together. Followed by it doing the reverse conversion to reply in human readable language.

This is how the core concept of AI works, and its not just limited to text-based models. Suppose you asked a generative diffusion model to draw a photo of a dog. The prompts were: 

 “A red dog” >> “[2.3, 0.9, 0.2, 0.1]” 

 “A blue dog” >> “[2.5, 0.6, 0.4, 0.0]” 

 “A brown dog” >> “[2.4, 0.1, 0.4, 1.3]” 

 Then it would be converted to similar but different numbers to reflect the change in color, but to maintain the prompt of the dog. Although Artificial Intelligence is a very impressive tool which we must learn to hone, I find the technological feat of creating metal rocks that can “Think” more impressive

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