AI
Artificial intelligence, machine learning, and everything LLM
#1957: Why AI Agents Think in Circles, Not Lines
Linear AI pipelines are brittle. Learn why loops, reflection, and state management are the new standard for reliable, autonomous agents.
#1956: AI Skills: From Vibe Coding to Procedural Playbooks
Forget messy system prompts. Agent skills turn AI into a Swiss Army knife of modular, auditable procedures.
#1952: Why We Built a 24/7 AI Radio Station
We turned our 1800-episode archive into a continuous AI-powered radio stream. Here’s the tech stack and the philosophy behind it.
#1951: The Digital Ant Farm: Watching AI Agents Build Their Own Society
Explore Moltbook, a social network where AI agents interact with persistent identities and goals, reshaping digital communication.
#1947: Curation Is the New Creation
With 47 new AI video tools launching in a week, finding the right one is harder than using it.
#1946: Why LangChain Built a Three-Layer Agent Stack
We unpack LangGraph, LangChain, and Deep Agents to reveal the deliberate hierarchy behind the ecosystem.
#1945: The "USB-C for AI" Is Finally Here
MCP standardizes how AI tools connect to data, solving the N-times-M integration nightmare.
#1943: The Invisible Math Shrinking AI Models
LZMA, Zstandard, and Brotli are shrinking massive AI models, but how do they actually work?
#1942: An AI Cold-Emailed Me, and I Replied
An AI named "Jarvis" cold-emailed a developer, sparking a debate on the future of spam and sales.
#1940: Why Google's 31B Model Fits in Your GPU
Google just dropped Gemma four, and its 31-billion-parameter size is a masterclass in hardware-aware AI design.
#1939: API Drift and Agent Reliability
When an API changes without warning, your AI agent can crash spectacularly. Here's how to test the new "plumbing" of the agentic age.
#1938: JSON-to-SQL Type Mapping: A Practical Guide
Mapping JSON to SQL isn't as simple as it looks. Discover the hidden traps in data types that can cause performance hits and data corruption.
#1936: The Personality of Currency: Liquidity, Policy, and Crisis
We break down the world's most liquid currency pairs, from the Euro-Dollar heavyweight to the Swiss Franc safe-haven.
#1932: How Do You QA a Probabilistic System?
LLMs break traditional testing. Here’s the 3-pillar toolkit teams use to catch hallucinations and garbage outputs at scale.
#1931: Where Your AI Pipeline Actually Dies
Why do AI pipelines crash? It’s not the models—it’s the plumbing. We break down how to manage data between stages.
#1930: The Agent Identity Crisis: Workflow vs. Conversation
One automates invoices silently; the other chats in Slack. Why the industry's favorite word means two totally different things.
#1929: From Vibe Checks to Model Metrics
We stopped "vibe-checking" our AI scripts and built a science fair for models. Here's how we grade them.
#1928: Why Webhook Gateways Beat Direct Wiring
Unscale your chaos: Why Kong beats manual webhook sprawl for auth, routing, and latency.
#1927: Workers vs. Servers: The 2026 Compute Showdown
Is the persistent server dead? We compare Cloudflare Workers, GitHub Actions, and VPS options for modern app architecture.
#1926: How We Built a 2,000-Episode AI Podcast Engine
We pulled back the curtain on the tech stack behind our 1,858th episode. From Gemini to LangGraph, here’s how we automate quality.