Bare-Metal AI Is the Return of Embedded Computing
Booting straight into inference looks like a stunt. It is actually a sign AI is returning to the embedded pattern: appliance first, ubiquity later.
Pattern Recognition
Framework articles on the TNH methodology
Longer Chain-of-Thought Can Mean Worse Answers. That's a Product Warning.
A long explanation feels like thinking. It may be the opposite. If chain-of-thought length correlates with worse accuracy, product trust needs a redesign.
The Last Advantage You Can't Automate
AI can generate anything. It can't tell you what's worth generating. Taste — trained pattern recognition — is the last competitive advantage. And it can't be automated.
The $550K Model That Humbled Silicon Valley
While American AI labs burn billions, Chile built Latam-GPT for $550K. The lesson isn't frugality. It's who decides what intelligence looks like.
MCP Won: How One Protocol Became the Nervous System of Agentic AI
Anthropic built MCP, donated it to the Linux Foundation, and watched OpenAI, Microsoft, and Google adopt it within a year. NIST just built its AI Agent Standards Initiative on top of it. The protocol war for agentic AI ended before most people knew it started.
Vibe Coding and the Literacy Inversion
Collins Dictionary named 'vibe coding' its 2025 Word of the Year. MIT Technology Review called generative coding a breakthrough technology for 2026. Something structural is happening: the ability to build software is decoupling from the ability to write code. This changes who gets to create, an...
Your AI Runs on Someone Else's Computer
Open-source models now match cloud performance for most tasks. A MacBook with 48GB of RAM runs Llama 70B. The question isn't whether local AI is viable — it's whether you can afford the risk of not owning your cognitive infrastructure.
The Attention Tax
A TechCrunch report found that early AI adopters are burning out faster than holdouts. Their to-do lists expanded to fill every hour AI freed up, and then kept going. The problem isn't the technology. The problem is that nobody updated the expectations.
The Man Who Proved You Don't Need Big AI Just Joined Big AI
The creator of the most important open-source AI project of 2026 just joined the biggest closed AI company on earth. Here's why that's not the contradiction it looks like.
The Dark Side of AI Just Hit Wall Street
Wall Street just discovered what builders already knew — AI doesn't create value for incumbents. It destroys their moats. The February 2026 selloff isn't about technology failing. It's about the market finally pricing in a world where most existing business models become obsolete.
The $650 Billion Misdirection
Big Tech is spending $650 billion building AI infrastructure in 2026. The biggest beneficiaries won't be the companies writing the checks.
The AI Hit Piece Industrial Complex
The same newsrooms publishing fear-driven AI stories are using AI to write headlines, generate summaries, and automate their workflows. The hypocrisy isn't accidental. It's the business model.