AI is the emulation of human-like decision making. Exploring the Advancements, Ethics, and Implications of AI: From Large Language Models to Perfect Data Models.

In this episode, I had an enlightening conversation with Ben from Inevitable, where we discussed the advancements in AI over the past five to ten years, particularly focusing on large language models like GPT. We explored the ethical approach to AI development by not buying or selling data and the importance of understanding the implications of AI in our daily lives. We dove into the classification of AI, examining strong AI and its ability to match or surpass human abilities in various areas. We also discussed AI's ability to cooperate and collaborate in adversarial environments, such as the hide and seek game created by OpenAI. We touched on the potential origins of strong general artificial intelligence and its possible creation by a small, unknown team rather than a large enterprise. Additionally, we explored the differences between synthetic data and generated data, shedding light on the safety concerns around synthetic data and its potential misuse. Finally, we delved into the concept of creating a perfect model of data through understanding every aspect of correlations, discussing the implications of running such a model in reverse to obtain the same input data.

Join me in this fascinating episode as we explore the world of AI and its growing relevance in our lives.

Chapters:

(0:00:00) - AI Land Grab Ethics(0:12:54) - Exploring AI Collaboration and Cooperation(0:24:31) - Understanding AI Technology & Its Implications(0:31:22) - Creating a Perfect Data Model

Chapter Summaries:

(0:00:00) - AI Land Grab Ethics (13 Minutes)In this episode, we dive into the world of artificial intelligence (AI) with Ben from Inevitable AI. We explore the advancements in AI over the past five to ten years, particularly focusing on large language models like GPT. Ben's company, Inevitable AI, specializes in writing machine learning algorithms and takes an ethical approach to AI development by not buying or selling data. We discuss the importance of understanding the ethical implications of AI and how it's becoming increasingly relevant in our daily lives.

(0:12:54) - Exploring AI Collaboration and Cooperation (12 Minutes)We delve into the classification of AI, discussing strong AI and its ability to match or surpass human abilities in various areas. We examine the concept of general AI, which entails performing any task that a human can do to the same level or better. The conversation highlights the power of narrow AI and how AI has become adept at certain tasks like playing chess, while still struggling with seemingly simple tasks for humans like setting up and cleaning a board. The discussion also covers the development of AI's ability to cooperate and collaborate in adversarial environments, such as the hide and seek game created by OpenAI.

(0:24:31) - Understanding AI Technology & Its Implications (7 Minutes)We discuss the potential origins of strong general artificial intelligence and its possible creation by a small, unknown team rather than a large enterprise. We also touch on the ongoing debate over data ownership and the importance of policymakers understanding the technology they are regulating. Additionally, we explore the differences between synthetic data and generated data, shedding light on the safety concerns around synthetic data and its potential misuse'

(0:31:22) - Creating a Perfect Data Model (0 Minutes)We explore the concept of creating a perfect model of data through understanding every aspect of correlations. This would be a mathematically possible but massive undertaking, and we discuss the implications of running such a model in reverse to obtain the same input data'

INEVITABLE is an Award winning ethical research and development collective of AI technology experts.A home for Alpha Nerds, Tech strategy clairvoyants, and leading authorities on all things Artificial Intelligence. 

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Artificial Intelligence, AI Ethics, Large Language Models, GPT, Inevitable AI, Strong AI, General AI, Narrow AI, AI Collaboration, AI Cooperation, Adversarial Environments, OpenAI, Synthetic Data, Generated Data, Data Safety, Data Ownership, AI Policy, AI Regulation, Perfect Data Model, AI Implications