Explore the core reasons for skepticism surrounding Large Language Models, moving beyond simplistic explanations to address technical limitations, ethical concerns, and the gap between hype and practical reality.
Exploring the use of AI to draft legal documents to save on high lawyer fees. Learn about the significant risks involved, safer DIY alternatives, and a novel (but complex) AI workflow.
Discover how tech professionals' perspectives on AI have shifted from initial skepticism to practical application. Learn how they leverage it as a tool for specific coding tasks while remaining cautious about its hype and limitations.
Struggling to earn an income from your open-source project? Explore four distinct monetization strategies, from selling services and support to dual-licensing and corporate sponsorships.
An analysis of whether the AI boom has diminished enthusiasm for human space exploration. Many argue the two are unrelated, viewing both as hype cycles, while others find renewed excitement in robotic missions.
Explore why modern AI like LLMs aren't used for game opponents, delving into the critical difference between a 'smart' AI and a 'fun' one, and the technical hurdles that prioritize classic game AI.
Struggling to name your new product? Explore a deep dive into the debate between descriptive and memorable names, with practical strategies, tools, and psychological tips to help you find the perfect fit.
Ever wondered what happens to a web domain after it expires? Explore the common fates, from being held for ransom by squatters to being repurposed for entirely unexpected new projects.
Feeling burnt out by AI hype and meaningless projects? Explore strategies for senior software engineers to find fulfillment by changing their industry, not their profession.
Explore the key differences between Model Context Protocol (MCP) and RAG. Learn how MCP servers empower LLMs to perform actions and interact with live data, and discover practical use cases and best practices.