Rage Against The AI
Originally written in 2021. Updated 2025.
AI is dangerous. Technology should serve people, not the other way around.
Artificial Intelligence (AI) refers to the broad field of developing technology that can perform tasks requiring human-like intelligence. This includes reasoning, learning, perception, language understanding, and even creativity. Modern AI systems can analyze data, recognize patterns, generate content, or make decisions with varying degrees of autonomy. From chatbots, to self-driving vehicles, to autonomous "suicide" drones being used in war, AI today plays a growing role in how people live and work.
Machine Learning (ML) is a core branch of AI focused on algorithms that learn from data. Instead of relying on hand-coded instructions, ML models identify patterns, extract insights, and improve their performance through experience. The more relevant and high-quality data an ML system is trained on, the more reliable its predictions and decisions become.
AI represents the goal of creating intelligent behavior in machines, while ML provides one of the main methods to achieve it. Nearly all of today’s practical AI, such as recommendation engines, voice assistants, fraud detection systems, cybersecurity analysys agents, and large language models, depends heavily on ML. In essence, ML enables AI systems to adapt, generalize from examples, and make autonomous judgments in complex, changing environments.
Uncontrolled or poorly understood AI can lead to serious harm. Rapid progress has outpaced governance, and too many developers prioritize speed and scalability over safety and and risk analysis. Feeding these systems vast amounts of real-world data without proper oversight invites new and growing risks.
Here are some of the few problems we are already facing:
AI is transforming everything, but whether it benefits us depends on how carefully and responsibly it is developed and used.