Claim OwnershipThe TED AI Show
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Description
Sure, some predictions about AI are just hype – but others suggest that everything we know is about to fundamentally change. Creative technologist Bilawal Sidhu talks with the world’s leading experts, artists, journalists, and more to explore the thrilling, sometimes terrifying, future ahead.
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nice informative
very insightful! I want to thank you and Prof. Anil Seth for your engaging discussion.
I love your show. this is my favorite podcast. I would love a show on practical business applications. now where are we going or what will it do, but how can we start to practically apply it now.
well done👌
it was nice informative for students and good article. Generative AI in Healthcare
Perfect
great 👍🏻
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https://wootingdoublemovement.com/ **5. Dependency on Human Input Despite advancements, AI systems are heavily reliant on human input for training and fine-tuning. The quality of AI outputs is directly linked to the quality and diversity of the data and the expertise of the developers.
predictions with https://wootingdoublemovement.com/ a critical eye. Here are a few reasons why some AI predictions might be overstated: **1. Exaggerated Timelines Many AI predictions come with optimistic timelines, suggesting breakthroughs or widespread adoption in the near future. However, technological advancements often take longer than anticipated due to unforeseen technical challenges, regulatory hurdles, and integration complexities. **2. Overestimation of Capabilities Some predictions overestimate AI’s capabilities, portraying it as a panacea for complex problems. In reality, AI systems often excel in specific tasks but struggle with generalization and context understanding. For example, while AI can perform well in narrow applications like image recognition, achieving general artificial intelligence (AGI) remains a distant goal. **3. Underestimating Ethical and Social Implications Predictions often focus on the technical potential of AI while overlooking the ethical and soc
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