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Effective altruism, long-termism, and politics in OpenAI
OpenAI, initially a non-profit, shifted to a for-profit structure in 2019, straying from its effective altruism mission. Effective altruism seeks to maximize positive impacts while long-termism focuses on reducing existential risks. OpenAI’s commercial expansion created a conflict between altruistic goals and practical business needs, leading to a clash of ideologies within the company. The recent…
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A Spanish agency created a profitable AI-generated model
Spanish agency The Clueless has created an AI-generated model named Aitana, who has over 125,000 followers on Instagram. With the aim of reducing costs and avoiding the challenges of working with human influencers, The Clueless has found success in using AI models. The use of AI in the modeling and influencer industries raises ethical and…
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How to Run Surveys at Every Stage of the Design Cycle
Summary: Surveys are often used incorrectly in the design cycle due to the assumption that they are quick and easy. However, different types of surveys can be effective at various stages of the cycle. User research should be conducted at different stages, with surveys commonly associated with the Listen phase.
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Prompt Structure in Conversations with Generative AI
Summary: An article about AI-chatbot interactions highlights the key components found in most prompts, such as requests, framing context, format specification, and references to previous answers or sources. The absence of these components can result in inefficient conversations. Designers can enhance user experience by incorporating AI-interface elements that facilitate the inclusion of prompt components. A…
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Learn How to Generate 3D Avatars from 2D Image Collections with this Novel AI Technique
This article discusses a novel method for generating 3D human avatars from 2D image collections. The proposed method aims to produce high-quality images and accurate geometry, particularly when modeling loose clothing. The research team introduces a monolithic design that models both the human body and clothing together, along with multiple discriminators to enhance geometric detail.…
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Automating product description generation with Amazon Bedrock
Amazon Bedrock is a generative AI service that simplifies the creation of product descriptions for e-retailers. It offers high-performing foundation models from leading AI companies and allows retailers to tailor the descriptions to their target audience. Bedrock also enables faster approvals, improved product listing velocity, future-proofing, and fosters a culture of innovation. With additional capabilities…
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Formula 1 racing to trial AI system to enforce track limits
Formula 1 is set to trial an AI Computer Vision system at the Abu Dhabi Grand Prix to analyze track limit incidents. Currently, human stewards review video feeds during races to identify infringements, but the new AI system will do the bulk of the work. The technology aims to save time and improve accuracy in…
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AI is Going to Eat Itself and Lead to Model Collapse
The text highlights the transformative impact of generative artificial intelligence (AI) on the internet landscape. Major platforms are undergoing significant changes, with AI-driven content on the rise. Challenges include Google’s search overhaul, Twitter’s bot and verification issues, Amazon and TikTok’s content quality concerns, layoffs in online media companies, and the demand for “AI editors” in…
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Optimisation Algorithms: Neural Networks 101
The text discusses various optimization algorithms that can be used to improve the training of neural networks beyond the traditional gradient descent algorithm. These algorithms include momentum, Nesterov accelerated gradient, AdaGrad, RMSProp, and Adam. The author provides explanations, equations, and implementation examples for each algorithm. The performance of these algorithms is compared using a simple…
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Detecting Power Laws in Real-world Data with Python
This article discusses the challenges of analyzing data that follows a Power Law distribution and presents a technique called the “Log-Log approach” to detect Power Laws in real-world data. It also introduces the Maximum Likelihood method as a more mathematically sound approach to estimating the parameters of a Power Law distribution. The article provides example…