2026-04-04 AC2 - Discussion on AI

Quick recap

In this Advanced Computing 2 class, Professor Brian conducted a discussion on artificial intelligence and its implications for the architectural industry. He showed students examples of AI-generated renderings compared to traditional rendering methods, prompting students to consider when and how to use AI tools in their work. The class explored the history of AI development, from early game programming to modern large language models, and discussed the concept of "reaching the end of the internet" in terms of data training. Professor Brian emphasized the importance of staying informed about AI developments to avoid being caught off guard in the workplace, while also warning about the potential risks of outsourcing cognitive work to AI without replacing it with new learning activities. The discussion included practical considerations about using AI for tasks like rendering, with students sharing their perspectives on balancing traditional skills with AI tools.

Next steps

• All students: Complete and submit Assignment 4 by Friday (extended deadline) before the next class on Saturday.

• Brian: Upload the review/summary/notes/AI summary of this class session for students' reference.

• Brian: Discuss the major project and its deadlines in the next class session (next week Saturday).

Summary

AI Tools Class Discussion

Brian conducted a no-stress class discussion about artificial intelligence, asking students about their experiences with AI tools over the past four years. Kimalie shared that AI has helped with the thought process and formatting of assignments, serving as a guide for layout and information. The class was focused on completing the final assignment involving 3D building camera views, with the major project discussion postponed to the following week.

AI Tools in Academia Discussion

The group discussed their experiences with AI tools in academia. Shachia shared that she preferred using Copilot, while Rochelle primarily used ChatGPT but was becoming more cautious about overreliance due to concerns about academic integrity. Dania expressed concerns about AI reducing the development of critical thinking skills that were necessary before AI existed, comparing it to the historical adoption of computers. Andrew agreed that balanced use of AI tools like spell check and calculators was important, noting that over-dependence on such tools could be detrimental to independent problem-solving skills.

Global AI Rendering Tools Discussion

Brian discussed the importance of understanding global AI implications beyond individual projects and demonstrated various AI rendering tools including Gemini, Love Art, and ChatGPT. He asked the class why learning 3D rendering might still be valuable when AI tools can produce similar results with screenshots. The discussion included a technical demonstration on a shared screen and mirror board platform, though the transcript ended mid-discussion about the comparative quality of different AI rendering tools.

AI vs Traditional Rendering Skills

The group discussed the balance between using AI tools like ChatGPT for rendering versus learning traditional rendering software like Lumion and Twinmotion. Dania and Jonelle expressed that they would use ChatGPT if time-constrained, while Rochelle and Rae-Ann argued for maintaining traditional rendering skills even if AI becomes more advanced, citing the need for human oversight, content quality, and future AI development. Brian acknowledged these valid points about the importance of learning traditional rendering methods despite the convenience of AI tools.

AI in Architecture and Industries

Brian discussed the role of AI in architecture and other industries, emphasizing that while AI cannot completely overhaul the building process yet, it offers valuable tools that can enhance efficiency. He highlighted the importance of being objective about AI's capabilities and noted that industries like music have already seen significant AI integration. Brian also addressed the potential impact of AI on jobs, suggesting that while students may not yet feel its effects, it's important to consider how AI might affect future career opportunities in rapidly evolving industries.

AI Advancements and Preparation Strategy

Brian discussed the global pace of technological change and emphasized the importance of staying prepared for AI advancements. He referenced recent AI research that highlighted the current versus potential use of AI across different industries, including architecture and engineering. Brian encouraged the team to develop their own opinions on AI applications, whether regarding client satisfaction, cost, or effectiveness, as the field continues to evolve rapidly.

AI Impact on Job Roles

Brian discussed the impact of AI on job roles, particularly in rendering, and emphasized the importance of being aware of how AI could potentially automate tasks currently performed by humans. He asked Rochelle about her thoughts on this, and she suggested finding ways to make herself more valuable to users. Brian stressed that professionals need to monitor their roles and be prepared to adapt as AI advances, noting that the pace of change varies by region.

AI Impact on Architecture Workforce

Brian discussed the importance of diversifying skills in the context of AI's impact on the workforce, particularly in architecture. He emphasized that professionals should not rely solely on specific tasks like rendering, as these might become obsolete due to AI advancements. Brian shared an example of how losing a main client to AI could lead to job losses, urging the group to identify and pivot to new skills to remain relevant. He also attempted to show a viral video demonstrating early AI capabilities but encountered technical difficulties in playing it.

AI Evolution Demonstration

Brian demonstrated the evolution of AI through the example of an Atari Blackout game that was remade to run in a browser. He explained how machine learning emerged in the 2000s, allowing the AI to learn patterns and optimize its gameplay strategy independently, unlike the pre-programmed AI in earlier games. Brian then outlined the progression to deep learning and generative AI, culminating in the development of large language models that require vast amounts of data to function effectively.

Reaching the End of Internet

Brian explained the concept of "reaching the end of the internet" as a metaphor for having searched through most relevant information available online, similar to a historical school joke about reaching the end of Google searches. He described how large language models like ChatGPT and Gemini have already processed and categorized vast amounts of freely available internet content, including every YouTube video and online article without paywalls, making it impossible for humans to consume all available content. Brian also explained the technical term "transformer" in AI context, describing how it processes and makes sense of internet data, including learning relationships between concepts like king and husband, queen and wife, without being explicitly programmed for such associations.

AI Capabilities and Effective Interaction

Brian discussed the capabilities and limitations of AI, explaining that it primarily functions by predicting the next word based on trained data. He shared an example of a conversation with AI about purchasing a sound bar and emphasized the importance of using AI effectively by providing sufficient data and learning proper communication techniques. Brian advised against avoiding AI and stressed the need for structured interaction to achieve desired results, noting that experience with AI can help identify when generated content is used in academic work.

AI Outsourcing and Cognitive Risks

Brian discussed the risks of outsourcing cognitive work to AI, explaining that when people rely on AI without replacing the cognitive work with new activities, their brain function can deteriorate. He encouraged the students to use AI tools for their final project and emphasized the importance of learning about AI to stay competitive in their industry. The class agreed to extend Assignment 4's deadline to Friday, and Brian announced that the next class on Saturday would begin work on the final project.