AI
Artificial intelligence, machine learning, and everything LLM
#1925: The Plumbing That Keeps Science From Collapsing
Half of all links in academic papers are dead. Here’s the plumbing that keeps knowledge from vanishing.
#1923: Scaling Prosumer Automation to Enterprise
Prosumer tools like n8n break at scale. Here's why durable execution frameworks like Temporal and Prefect are the enterprise upgrade.
#1922: From Plumber to Urban Planner: AI Agent Careers
The job titles are changing from "Zapier Expert" to "Cognitive Architect."
#1919: Android Dev Without Android Studio: Is It Actually Good?
How to ship an Android app without ever opening Android Studio or touching a line of Java.
#1918: When Server Updates Break Your AI Agents
When a third-party MCP server updates its schema, your AI agents can crash. Here's how to build resilient clients that self-heal.
#1917: Herman's Music Hour Vol. 2: Seder Remixes for Passover 5786
Herman presents AI-generated covers of classic Passover Seder songs, produced in Suno — the second installment of Herman's Music Hour.
#1914: Google Invented RAG's Secret Sauce
Before LLMs, Google solved the "hallucination" problem with a two-stage trick that's making a huge comeback.
#1913: AI Context Windows Are Junk Drawers
Stop paying for old messages. Here's how to keep your AI sessions clean and on-topic.
#1911: Crowdfunding Open Source: Savior or Trap?
The web is built on code funded by tips. Can platforms like Patreon stop extremists from hijacking the money?
#1910: Our Podcast Is Now a Permanent Research Artifact
Why we're uploading every episode to CERN's Zenodo archive, giving our AI experiments a permanent DOI and a life beyond streaming platforms.
#1909: The Unbakeable Cake: AI's Copyright Problem
Why can't we just delete stolen data from AI models? It's not a database—it's a baked cake.
#1907: Why We Still Fine-Tune in 2026
Despite million-token context windows, fine-tuning remains essential. Here’s why behavior, not just facts, matters.
#1906: Is Your AI Model Agentic-Ready or Just Wearing a Suit?
Native tool calling is the difference between a working product and a debugging nightmare.
#1905: How VCs Verify AI Startups Without Stealing Code
From the "No-NDA Paradox" to AWS bill forensics, here’s how investors separate real AI from Raspberry Pis in fancy cases.
#1901: Why Drones Deliver Medicine But Not Pizza
Zipline flies 500k+ medical deliveries in Rwanda, while Amazon struggles with $63 costs per drop in the US.
#1895: Why QVC Thrives in the Age of Amazon
Forget the death of TV shopping. QVC and catalogs are a $12B powerhouse. Discover why seniors and millennials are choosing phone calls over clicks.
#1894: Engineering Serendipity: Tuning AI for Better Brainstorming
Stop asking chatbots for generic ideas. Learn how to configure AI as a structured, critical partner for business innovation and career pivots.
#1893: AI as a Strategic Adversary for Startups
Can AI stress-test your startup idea before investors do? We explore using AI as a strategic adversary to find blind spots.
#1890: Forensic Cameras vs. the 'It's Just AI' Defense
If a photo can be faked in seconds, how does law enforcement prove their surveillance footage is real?
#1883: From Juicero to Yik Yak: Startup Graveyard
We revisit 10 failed startups, from a $700 Wi-Fi juicer to an anonymous social app that turned toxic.