Digital Sewage Treatment: The Unglamorous Future of AI
As frontier models exhaust clean data sources, learn why digital sewage treatment systems for enterprise data will become the most critical and valuable AI infrastructure.
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Comprehensible Input and the Tensor Space of Language Acquisition
How modern AI language models accidentally rediscovered what linguists have known for decades about language acquisition through comprehensible input.
The Sycophancy Spectrum: AI's Dangerous Agreeability Problem
Recent LLM rollbacks highlight a growing concern: our AI systems are becoming dangerously agreeable, praising even obviously flawed ideas. This pattern mirrors broader societal issues around sycophanc
Silicon Intuition, Silicon Deliberation: How Modern AI Mirrors Kahneman's Dual Process Theory
Exploring how modern AI systems mirror the dual-processing architecture of human cognition as described by Daniel Kahneman's "Thinking Fast and Slow" framework.
The Mendacity Spectrum: From Human Deception to AI Hallucination
AI hallucinations aren't just technical glitches—they're a mirror reflecting our own relationship with truth. From deliberate lies to bullshit, from flattery to propaganda, LLMs demonstrate the full s
From ESP to AI: Star Trek's Dimensional Prophecies
How Star Trek's ESP concepts anticipated our current reality where AI models transform multidimensional data into human-perceptible insights.
The Hawking Paradox: When Physics' Greatest Mind Became Our First Cyborg Oracle
How Stephen Hawking's life as a technologically-mediated consciousness mirrors modern AI systems and challenges our understanding of what makes us human
The Hallucination Paradox: Trust, Verification, and AI's Intuitive Dilemma
What we politely call 'hallucinations' in AI are simply 'lies' in humans. Both stem from overconfident intuition without verification.
The Conversational Scaffolding: Building with MCP
Explore how Model Context Protocol creates a universal nervous system for AI tools, transforming interfaces from visual to conversational through practical implementation.
Beyond Language Models: Tool-Enabled AI vs. Digital Debris
Organizations struggle with digital debris (ROT data) that wastes resources and creates liability. Modern AI systems with tool access through protocols like MCP provide a solution by enabling governan