Artificial Intelligence

Revolutionizing Software Development: The Rise of Software 2.0

In this article, Andrej Karpathy argues that neural networks represent a fundamental shift in how we develop software, and are not just another tool in the machine learning toolbox. He refers to this shift as Software 2.0, where software is written in abstract, human-unfriendly language such as the weights of a neural network. The process […]

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The Limits of AI: Understanding its Shortcomings and Risks, why not Warning Labels?

Artificial Intelligence (AI) has been transforming our lives in many ways, from personal assistants to self-driving cars. Despite its many benefits, AI still has its shortcomings and flaws. In a recent article on InformationWeek, Joao-Pierre S. Ruth, a Senior Writer, explores the need for warning labels on AI systems. Ruth raises concerns about the biases […]

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Dispelling the Myth: GPTs Do Understand

Daniel Miessler’s post discusses the misconception that GPTs (Generative Pre-trained Transformers) are simply text completion tools without actual understanding. He argues that GPTs do possess a level of understanding and the ability to apply knowledge in new situations and contexts. The post provides a definition of understanding and applies it to GPTs, showcasing their ability […]

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