AI Use Cases

A comprehensive overview of AI applications across industries, including game development, software engineering, and various business sectors. Explores AI capabilities, limitations, and human-AI interaction models.

Use Cases

Category	Applications
Information Retrieval	• Search engines • LLMs as thought partners • Q&A systems • Document reading and tagging
Security	• Fraud detection
Personalization	• Recommender systems
Creative Tasks	• Recipe generation • Brainstorming companion
Text Processing	• Proofreading • Summarization • Translation
Healthcare	• Limited medical advice (from reliable sources)
Customer Service	• Chatbots: - Trip Planner - Career Coach - Recipe Ideas Generator - IT Service Assistant
Software Development	• AI enhances complex engineering projects through collaborative assistance

Game Development

Aspect	Details
Technology	Google's GameNGen
Description	First neural model-powered game engine
Performance	Simulates DOOM at 20+ FPS on a single TPU
Key Features	• Real-time complex environment interactions • Indistinguishable from real game footage
Training Phases	1. Reinforcement learning for gameplay 2. Diffusion model for frame prediction

LLM Capabilities and Limitations

Strengths	Limitations
Superior translations	Knowledge cutoff (frozen at training time)
Effective proofreading	Potential for hallucinations
Efficient summarization	Limited input/output length
Versatile chat functionalities	Possible bias/toxicity issues

Human-AI Interaction Models

Model	Description
Human-only	Traditional approach
Human-in-the-loop	AI assists human decision-making
AI triage	AI filters and directs queries to humans
Full AI chatbot	Automated responses without human intervention

Future Impact Scenarios (2025+)

Domain	Projected Changes
Labor & Economy	• Automation of knowledge work • Factory automation • Office work transformation • AI-driven resource optimization
Infrastructure	• Near-infinite energy solutions • New material development • Smart city integration
Society	• Humanoid workforce scaling • Radical economic restructuring • Resource abundance systems

Note: These projections are based on current AI trajectory and may evolve. For latest developments, see our AI Labs section.

Notes on AI Applications

Generative AI excels with unstructured data
Supervised Learning is more effective for structured data

References:

[1]: GameNGen. "Official Website." GameNGen, 2024.

[2]: Smith, J. et al. "GameNGen: Neural Game Engine." arXiv, 2024.