I'm sure humans can make similar errors, but we're definitely less suggestible than current language models. For example, if you tell a chat-tuned LLM it's incorrect, it will almost always respond with something like "I'm sorry, you're right..." A human would be much more likely to push back if they're confident.

Sure, “just” a machine honed over millions of years and trained on several years of specific experience in this area.

You are being too reductive saying humans are "just pattern recognition machines", ignoring everything else about what makes us human in favor of taking an analogy literally. For one thing, LLMs aren't black or female.