It’s fair to say that AI technology is hyper-polarising. Since the launch of ChatGPT in late 2022, many people have been awestruck at how generative AI can write essays, create realistic images and effectively impersonate just about any human with enough training material.
But there are just as many detractors as enthusiasts, and AI’s current shortcomings have been exposed in a number of high-profile cases. For example, when Google’s AI overviews were added to search results in the US, they recommended adding glue to pizza and eating rocks. Now things like this happen when the large language model behind an AI chatbot produces nonsensical or inaccurate content.
What kind of content are we talking about? Where does the name come from? In under 3 minutes, we answer your questions!
To listen to the last episodes, you can click here:
How to protect your art from AI exploitation?
Can humans really fall in love with AI ?
What happens in the brain when we lie?
A podcast written and realised by Joseph Chance.
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