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The Challenges of Applying AI: Open AI's Rise and Decline
This chapter explores the difficulties faced when using AI in the context of Bitcoin, using Open AI as a case study. It also emphasizes the significance of data sets and parameter quality in AI models.
Preston Pysh and Guy Swann's conversation covers the fascinating attributes about AI, the counterintuitive nature of AI and how the need for specialized models will create a rich ecosystem of decentralizing forces around countless models and resourcing requests.
IN THIS EPISODE, YOU’LL LEARN:
00:00 - Intro
01:24 - What is at the intersection of AI and Bitcoin?
19:12 - How AI is able to synthesize enormous amounts of information.
30:29 - Why AI models are actually going to be a decentralizing force.
32:37 - What incentives will attract the most data?
40:06 - Why training models from scratch isn't the most optimal path.
52:52 - Guy's thoughts on Sam Altman's World Coin.
01:03:58 - Why identity and AI are becoming a paired combo and how to avoid it.
01:03:58 - Why immediate settlement is a necessity for AI.
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