003 - The Current State of AI

In this episode of 'AI Unprompted,' hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk delve into the current state of AI, with a focus on large language models (LLMs). They discuss a recent interview with Richard Sutton, the father of Reinforcement Learning, who questioned the value of LLMs due to their lack of true learning ability. The discussion covers the utility of LLMs, their future roles, and the implications of synthetic data. They also touch on new advancements such as OpenAI's Atlas browser and how it integrates AI more seamlessly into daily tasks. The episode encourages listeners to share their own experiences with AI tools, treating them either as sophisticated assistants or as simple tools.00:00 Introduction and Disclaimers00:17 Welcome to AI Unprompted00:42 Diving into Large Language Models (LLMs)01:34 Debate on the Usefulness of LLMs03:12 Understanding vs. Mimicking in AI11:11 Human-Computer Interaction and AI19:48 Synthetic Data and AI Training22:36 Leveraging Proprietary Data with AI23:07 Understanding Synthetic Data23:27 The Nature of LLMs and Personhood24:14 Practical Uses and Limitations of LLMs26:31 Reinforcement Learning and LLMs28:39 Artificial General Intelligence (AGI) Debate30:20 Interspecies Communication and AI33:27 Effective Prompting Techniques37:47 AI as a Personal Assistant43:13 Concluding Thoughts and Feedback This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

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