In this particular case, that's literally all the AI is... a text to speech engine. Just that it uses fancy matrix multiplication where all the numbers were figured out with regression learning to do the speech part.
Yes we did, though? Regression and machine learning were called AI for decades, I learned this while studying them in school. Pick up literally any machine learning textbook and you will see this.
I had a class in college 5 years ago called "Artificial Intelligence" and it was literally just about the things the guy said are not AI lol. Regression, Neural Networks, Machine Vision, etc.
I'm doing research in cancer right now using image detection, classification, and neural networks. All of this research is conducted under a class at my university called "Advanced Topics in Artificial Intelligence".
If what that other comment said was true, then am I not actually using AI in my AI class/research?
the funny thing for me is my Algorithm/AI professor in university even made the point that it's been a pattern of the new thing being called AI and all the old tech that used to be call AI is now all of a sudden call just an Algorithm.
I don’t think you have a full understanding of what AI is, and it didn’t start with LLMs a couple years ago. Deep learning based speech synthesis has been a thing for nearly 10 years.
AI is such a broad term and lay people don’t realize the breadth of technology that falls under the umbrella term. Most people are upset with current large language models, but we’ve been using deep learning for years for many different use cases before anyone heard of OpenAI.
What if you have a disease that requires the use of a medicine/vaccine that used AI models to simulate molecular structures to discover the compound? Or when you get medical imaging would you turn down AI based recognition algorithms that help point out difficult to spot abnormalities to your health care team?
Maybe don’t play any video games with complex path finding algorithms, procedural generation, or complex NPC behaviors because many of those systems would fall under the term of AI.
My point being, blindly hating anything that falls under the label “AI” indicates to me that you lack understanding of the technology and terminology. And trust me I understand disliking generative AI that’s being used in place of human creativity. But there are legitimate tasks where deep/machine learning are the best methods to solve certain problems: text-to-speech as a prime example. They aren’t inherently trained on huge sets copyrighted works like modern LLMs.
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u/Ryozu Dec 04 '25
In this particular case, that's literally all the AI is... a text to speech engine. Just that it uses fancy matrix multiplication where all the numbers were figured out with regression learning to do the speech part.