Saturday's digest #18

Hello,
trying a new format as some people had issue with formating. Something simplier, more compact and hopefully more digestible for you.

#1 - Tom Yeh from AI By Hand - Multi-Layer Perceptron (MLP)- Spreedsheet

Check-out his whole work this type of tool can help you teach or improve your grasp on the gritty details of computation.

#2 - Daniel Miessler from Unsupervised Learning - We've Been Lied To About Work

Finding and keeping a fulfilling job is so difficult today and work as we know it is fundamentally flawed. Businesses aim to minimize costs, including human labor, leading to job dissatisfaction. Daniel believes this could lead to a better future where people are freed from meaningless work to focus on more fulfilling activities. Good read for the ones who struggle with their work.

#3 - Justin Landay, Sharut Gupta and Daniel Bashir from The Gradient - AI Lawsuits and SOPHON

Recent legal battles involving AI companies accused of intellectual property theft highlighting the complexities around AI-generated content and its impact on copyright laws. The newsletter also discusses new research on making AI models less susceptible to misuse, emphasizing the growing importance of ethical considerations in AI development. For those interested in the intersection of law, ethics, and AI, this is a must-read.

#4 - Jonas Ngoenha from The Creator Lens - Procreate's Bold Anti-AI Stance Explained

James Cuda, CEO of Procreate, has announced that the app will not include generative AI features, a decision that has been well-received by many artists. He emphasizes that AI lacks the nuanced human touch and creativity essential to true art. This stance challenges the growing trend of integrating AI into creative tools, prioritizing the preservation of artistic integrity over automation.

#5 - Eryk Salvaggio from Cybernetic Forests - The Stubborn Myths of Generative AI 

In the article linked for Tech Policy Press, Eryk explores the myths and assumptions that often skew our understanding of AI. The piece categorizes various myths, such as those related to control, productivity, prompts, and intelligence, highlighting how they impact public perception and policy. It emphasizes the need for more rigorous, socially-oriented narratives to ensure a balanced understanding of AI's capabilities and limitations.

See you next week!