What's wrong with that?
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.
Here's the diff. You can Google away and find several pages addressing your search, read one entry that appears to support your argument, copy and paste.
OR AI it, watch the sources appear as the answer to your query is COMPOSED before you eyes and then presented the way one would if they were writing a coherent report, as an answer.
Also, I was pretty good at composing just a few parody song lyrics for one situation or another. Now I just very specifically ask for 'parody lyrics' for this song for what this or that person said. I can't touch that.
As for...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?
Thank you perplexity.ai. It broke the answer into readable paragraphs too
Was there AI in robots as recently as five years ago?
Yes, robots were using artificial intelligence (AI) as recently as five years ago (in 2020). AI was already a crucial component in robotics, enabling robots to perform tasks with greater autonomy, intelligence, and adaptability across a wide range of industries.
The COVID-19 pandemic in 2020 significantly accelerated the adoption of AI-powered robots. Robots equipped with AI were deployed for tasks such as UV disinfection, hospital assistance, fever screening, and even social interaction in healthcare and public spaces. Examples include the Moxi hospital robot assistant, Moxie social robot for children, Misty II for fever screening, and Boston Dynamics' Spot robot for public safety and monitoring.
AI integration in robotics was not limited to healthcare. In manufacturing, logistics, and service industries, robots were already using AI for autonomous navigation, object recognition, predictive maintenance, and collaborative work with humans (cobots).
AI technologies in robots included machine learning, computer vision, natural language processing, and real-time decision-making. These capabilities allowed robots to analyze data, learn from experience, adapt to new environments, and interact more naturally with humans.
Cloud robotics and the Industrial Internet of Things (IIoT) were also emerging trends. By 2019, major companies like Google and Amazon were investing in cloud-based robot management and AI-powered automation, allowing robots to leverage greater computational power and communicate with each other and with human operators.
In summary, AI was not only present in robots five years ago, but it was also driving rapid advancements and real-world deployments across many sectors. The pandemic acted as a catalyst, but the foundational technologies and their integration into robots were already well underway by 2020
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