Unpopular Opinion: Why I’m an AI Skeptic
With all the hype in the past several years around AI (or more specifically GenAI), I'm not afraid to say – I'm an AI skeptic. It doesn't mean that I don't believe that some day AI may have a huge impact on human beings' lives, but at the moment, all I can see is irrational hype. In my background, I came from infra-security; I am not a developer, nor do I consider myself an AI expert. I am a…
In recent years, the hype surrounding AI, particularly GenAI, has been immense. The author, a cloud architect with no AI expertise, acknowledges the potential for AI to impact human lives in the future but emphasizes that the current state of AI appears to be driven by irrational hype. As a cloud architect, the author focuses on proposed architectures, their suitability for business requirements, and their deployment in a secure, resilient, and cost-effective manner.
The author criticizes the addition of AI to designs solely for the sake of stating that an application now includes AI. The author uses Grammarly, chatbots, and AI-powered tools daily for various tasks, such as summarizing blog posts, creating LinkedIn posts, and generating images. While these tools are beneficial, the author argues that they do not constitute groundbreaking technology.
The author believes that the significant benefits of AI will likely be realized by enterprises that can develop valuable AI-based solutions once the technology matures. However, from an enterprise perspective, the author questions the reliability and sustainability of results produced by current AI capabilities, especially when considering critical applications like finding a cure for cancer or pandemics.
The author acknowledges that AI is essentially a language model trained on human knowledge and emphasizes that it lacks true self-learning capabilities or emotions. The author notes that many AI projects fail due to architectural design issues, knowledge gaps, and cost management problems. The author also highlights the hype surrounding AI, driven by journalists, tech analysts, and CEOs eager to jump on the AI bandwagon, often without considering whether it makes sense for their organization.
The author criticizes the excessive spending on expensive GPUs and closed-source LLMs, as well as the pressure on employees to use AI tools, even when alternatives like automation make more sense. The author expresses skepticism about the development of AI-based solutions, warning that the resulting code often lacks real value and can be challenging to maintain, especially for non-developers.
Despite having a non-developer background, the author continues to explore AI to remain relevant in the tech industry, understanding that humans are ultimately responsible for maintaining and understanding systems, regardless of the code generated by AI.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
