AI's Complex Role: Creator, Copycat or Both?

In this episode, guest Dave Bulger delves into the intricate role of AI, questioning whether it functions as a creator, a copycat, or perhaps both. Dave Bulger, delves into the world of #AI, highlighting the distinction between AI and large language models (LLMs). He exposes the limitations of generative AI, raises concerns about copyright in content generation, and explores AI's potential impact across industries. Dave underscores that while LLMs can generate text, they lack true understanding. The conversation explores the challenges of scraping data for accuracy and ponders the future of AI, emphasizing the value of content creators and the necessity for expert verification in an AI-augmented world.

We discussed the following:

Introduction to the discussion- 1:09- 2:21

Are the tools we are using AI or LLMs?  2:23- 6:14

Can these tools replace people? 6:15- 9:45

Can you provide two descriptive comparisons that are relevant to the current state of generative AI? 9:46- 11:46

What is the current state of generative AI? 11:47- 13:05

Is there value to having different large language models?  14:26- 18:02

Why is it difficult to train these models on language using Reddit and other websites?  18:03- 19:51

What are your thoughts on content is king when we know that it's unsustainable? 19:52- 21:23

Who owns the results provided by these models? 21:41- 24:32

Should government agencies regulate AI? 24:33- 25:41

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