I’m feeling the genAI melancholy

I long for generative AI (genAI) tools that are genuinely beneficial. Alas, they fall short. I constantly experiment with the software – ChatGPT, Meta AI, Gemini, and others. They may appear helpful at first glance to the uninformed. Their responses seem credible. However, upon closer inspection, even if we disregard their fabrications – in other words, falsehoods – it becomes evident far too frequently that their responses are inaccurate.

If you’re working at a level similar to that of a high-school report, genAI responses are satisfactory. (Apologies, educators.) However, when delving deeply into a topic, which is where I specialize, the scenario changes.

I possess more knowledge than the typical large language model (LLM) regarding topics like Linux and open-source software. What genAI might convey about these subjects could appear accurate, but as you delve further into the specifics, the quality of the information diminishes.

About Author

AndyC

Andy Curtis is an award-winning security consultant, researcher and public speaker. He has been working in the computer security industry since the early 1990s, having been employed by state and federal government, leading healthcare and banking providers across three continents. He has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and is a regular voice on TV and radio explaining IT security threats.

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