Well, nowadays if you do a "conventional search" using anything that passes for a search engine, you get an "AI summary" before you get individual articles or whatever. This is what Google's "assistant" Gemini coughs up in response to your question:
[SHIT. Gemini need to learn how paragraphing works. Gonna take me ten minutes to fix this.]
AI Overview
While Artificial Intelligence (AI) and automation are closely related and often work together, it's not entirely accurate to say that AI is simply a more extreme form of automation.
Here's why:
Automation:
Focuses on repetitive tasks: Automation involves using technology to perform tasks or processes without human intervention, following predefined rules or instructions.
Follows set rules: It excels at tasks that require consistency and accuracy, such as data entry or generating automated email responses.
Lacks adaptability and learning: Traditional automation doesn't learn from experience or adapt to changing situations.
Artificial Intelligence (AI):
Simulates human intelligence: AI aims to simulate human cognitive functions like learning, reasoning, problem-solving, and decision-making in machines.
Learns and adapts: AI systems can learn from data, identify patterns, and adapt to new situations over time.
Handles complex tasks: AI can be applied to tasks that require cognitive abilities and can make decisions based on its learning.
How they work together:
AI can enhance automation by providing it with the ability to learn, adapt, and make decisions based on real-time data analysis. For example, AI-powered automation tools can handle more complex, non-routine tasks that traditional automation alone cannot manage.
In summary:
Think of automation as a set of predefined instructions for a machine to follow, while AI provides the "brain" for the machine to learn and make decisions. While AI can enable advanced automation capabilities, it's not just a more extreme version of automation; it's a distinct field focused on creating systems that can mimic human intelligence.
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Then it says you can read more, and adds: "AI responses may include mistakes. Learn more"
So yes, we got very similar answers. I don't think that's a good thing at all. And consider this, from the answer I got: "Traditional automation doesn't learn from experience or adapt to changing situations."
Really? I don't think that's right. I began seeing TV stuff featuring robotic machines that could fix themselves if something went wrong at least five years ago. And probably its development began much longer ago than that. Why isn't it called "AI"? or wasn't called "AI" back then?
Because calling things "AI" wasn't yet hot. And, of course, because my reply came from an AI "assistant", not a clever robot. Or, in the distant past, Clippy.
Was Clippy AI? He'd be SO proud!!
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