Articles

This is an archive of online articles I thought interesting and relevant to many of the classes I teach. Thought I'd share. Filter by subject All Artificial IntelligenceArts and EntertainmentCategoryContent CreationContent ManagementCSSDesignDHEconomicsEntrepeneurialismEthosFreedom of SpeechGender politicsHigher EducationHistoryJob SearchLearning TheoryLiberal ArtsLIKE PRETTY MUCH everyoneManipulationMisinformationNew TechPersonasPoliticsSelfiSocial NetworkingTechnologyTheoryToolsTutorialsUsabilityWikiWriting

Artificial Intelligence (2024 - 11 - 23) AI poetry rated better than poems written by humans, study shows Findings suggest non-expert poetry readers who participated preferred AI works because they find them more straightforward and accessible	Artificial Intelligence (2024 - 11 - 23) There’s No Longer Any Doubt That Hollywood Writing Is Powering AI Dialogue from these movies and TV shows has been used by companies such as Apple and Anthropic to train AI systems.	Artificial Intelligence (2024 - 11 - 23) AI Appears to Be Slowly Killing Itself AI-generated text and imagery is flooding the web - a trend that, ironically, could be a huge problem for generative AI models.
Artificial Intelligence (2024 - 11 - 23) New MIT Research Proves AGI Was Achieved Recent advancements in artificial intelligence (AI) have propelled us closer to achieving widely available Artificial General Intelligence (AGI), a long-standing goal in the field of computer science. A new study from the Massachusetts Institute of Technology (MIT) reveals that a novel approach to abstract reasoning could be the key to unlocking this potential. This research explained by AI GRID below focuses on the Abstraction and Reasoning Corpus (ARC) benchmark, a sophisticated tool designed to test machine intelligence without relying on memorization or pattern recognition.	Artificial Intelligence (2024 - 10 - 10) Is generative AI doomed? An expert’s take on the “model collapse” theory Artificial intelligence (AI) prophets and newsmongers are forecasting the end of the generative AI hype, with talk of an impending catastrophic "model collapse". But how realistic are these predictions? And what is model collapse anyway? Discussed in 2023, but popularised more recently, "model collapse" refers to a hypothetical scenario where future AI systems get progressively dumber due to the increase of AI-generated data on the internet.	Artificial Intelligence (2024 - 10 - 10) The more sophisticated AI models get, the more likely they are to lie When a research team led by Amrit Kirpalani, a medical educator at Western University in Ontario, Canada, evaluated ChatGPT’s performance in diagnosing medical cases back in August 2024, one of the things that surprised them was the AI’s propensity to give well-structured, eloquent but blatantly wrong answers.