AI
Artificial intelligence, machine learning, and everything LLM
#1757: The Art of the Never-Ending Story
From Reacher's elbow to SVU's 42-minute blocks, we explore why great series become content factories.
#1756: The Ferrari in the Mud: Prestige Flops
We count down the five worst serious movies of the last five years, starting with a sci-fi disaster that wasted $80 million.
#1754: From Ollama to Agentic CLIs: The Rise of the AI Harness
Explore the evolution from local LLMs to modern agentic CLIs, focusing on the "harness" that gives models context, tools, and autonomy.
#1753: AI Makes Coding Harder, Not Easier
Claude Code writes the syntax, but you need more technical knowledge than ever to guide it.
#1745: When Rules Create Loopholes
Why the U.S. uses different accounting rules than the rest of the world—and what LIFO inventory has to do with it.
#1743: Why the SEC’s Climate Rule Vanished
The SEC’s landmark climate disclosure rule is gone. Here’s what happened, and why companies still have to report emissions.
#1740: Why Open Source Is a Power Tool Strategy
We dissect Resemble AI's Chatterbox to see how its open-source TTS compares to commercial giants like ElevenLabs.
#1739: AI Just Designed a New Life Form
Meet Evo: the 40B parameter AI that writes DNA, designs novel CRISPR systems, and is reshaping synthetic biology.
#1738: Hyperstition Engines: When AI Writes Reality
LLMs aren't just predicting the future; they're generating the narratives that force it into existence.
#1737: Nous Research: The Decentralized AI Lab Beating Giants
Meet Nous Research, the decentralized collective outperforming billion-dollar labs with open-source AI and the self-improving Hermes-Agent framework.
#1736: The Hidden AI Economy: Following the Tokens
OpenClaw is processing 16.5 trillion tokens daily, dwarfing Wikipedia. Here’s why it’s #1.
#1735: The Agentic Stone Age: A Retrospective
We revisit the chaotic rise of BabyAGI and AutoGPT, exploring why their promise of total autonomy led to spectacular failure.
#1734: You vs. Your Digital Twin: Who Wins?
Your AI clone is getting scarily good. We explore the tech behind high-fidelity digital twins and the uncanny valley of your own voice.
#1733: When AI Agents Build Their Own Societies
AI agents are forming neighborhoods, economies, and hospitals in server-side simulations that mirror real human behavior.
#1732: Why AI Agents Need an Operating System
AIOS aims to be the Linux for AI agents, managing memory, scheduling, and tools in one open-source kernel.
#1731: Why Deep Research Agents Are Being Forgotten
Specialized research agents outperform general orchestrators by 40-60% on verification tasks, yet developer hype is fading. Here's why.
#1730: Are Multi-Agent Coding Frameworks Obsolete?
MetaGPT, SWE-agent, and OpenHands promised a team of AI devs. But in 2026, are they still useful, or has raw model power made them obsolete?
#1729: Why Is AI Code So Hard to Read?
AI writes code faster than ever, but the output is often a cryptic mess. We explore why and how to fix it.
#1728: The AI Carpool: Emergent Collaboration Through Role-Playing
CAMEL AI lets two agents role-play to solve tasks autonomously. No complex code—just emergent teamwork.
#1727: The Great Architectural Heist: LSP as AI's Universal Plumbing
Explore how the Language Server Protocol is being repurposed to integrate AI directly into code editors, unifying development workflows.