Smarter Than Us Ep.X — We’ve Seen This Ending Before TLDR: Science fiction has long warned us about AI going too far, not out of malice but indifference. Today’s AGI race makes those warnings feel increasingly urgent. This episode examines the insights from these tales and introduces the Sovereign Alignment Protocol (SAP), a vital framework for ensuring … Read more
The principles of classic economics still resonate in today’s tech landscape. Adam Smith’s concept of the “invisible hand” continues to drive innovation in platforms and marketplaces, while David Ricardo’s notion of “comparative advantage” underpins trends like outsourcing dev teams and the rise of APIs. “When self-interest is unblocked, value scales better than control.” In the … Read more
Understanding Weight Management: Mind Over Metabolism In a world obsessed with diets and metabolic rates, the article explores a different angle: “You may not be gaining weight due to a failing metabolism, but rather a failing mindset.” This thought-provoking piece emphasizes that emotional and psychological factors often play a more significant role in weight management … Read more
Large Language Models (LLMs) have revolutionized how we interact with technology, effortlessly responding to prompts and enhancing conversations. However, there lies a significant challenge that often goes unaddressed: “They forget. Instantly.” Each time a user engages, it’s as if the model is starting from scratch, which complicates tasks requiring consistency or memory. For simple trivia … Read more
Recent discussions on “agentic AI” have gained traction, highlighting its potential capabilities. At its core, agentic AI refers to systems that can: Set and pursue goals Utilize tools and APIs Make sequential decisions Learn and reflect over time “Without structured context management, agentic AI is just improvisation.” While that sounds promising, there’s a critical oversight … Read more
In the realm of artificial intelligence, current applications often manage “context” in a limited manner, primarily as long strings of conversation logs. While this approach can function effectively, it faces significant limitations: No memory control: AI struggles to retain relevant information across interactions. No role awareness: There’s often a lack of understanding about the roles … Read more
Exploring Innovative AI Tools for Efficiency As technology advances, new AI solutions are transforming how we work and communicate. Here are three key innovations worth noting: Personal AI Workspaces: Imagine a writing assistant that adapts to your unique style, tone, and tasks over weeks, enhancing your productivity. Enterprise QA Copilot: This smart chatbot keeps track … Read more
MCP: Final Wrap-Up — From Prompts to Protocols: The MCP Era Begins In this insightful wrap-up of the Model Context Protocol (MCP), you’ll discover how this innovative approach reshapes the future of AI: Episode 1 emphasized why context is vital for creating smarter and more trustworthy AI solutions. Episode 1.1 linked MCP with agentic AI, highlighting its … Read more
Large Language Models (LLMs) are undeniably impressive, allowing users to engage in fluid conversations by simply prompting them. However, a significant flaw lurks beneath this engaging interface: they forget instantly. Each interaction acts as a complete reset, making consistency and memory challenging—especially for long-term tasks. This poses a problem when you need an AI to … Read more
There’s been a lot of buzz around “agentic AI”, a term that refers to artificial intelligence capable of: Setting and pursuing goals Using tools and APIs Making decisions across various steps Learning and reflecting over time However, the reality behind many flashy demos is quite different. As noted, “Without structured context management, agentic AI is … Read more