Artificial Intelligence
Episodes whose main subject is AI itself: building with, training, evaluating, or debating AI systems. AI used only as a tool for another topic goes to that topic.
#1824: Why Governments Are Building Bunkers for AI
Public clouds can’t handle the security or scale of classified AI. Governments are retreating to fortified bunkers.
#1820: Renting vs. Owning GPUs: The Break-Even Math
Is it cheaper to rent serverless GPUs or buy your own hardware? We break down the math on utilization, depreciation, and hidden costs.
#1819: Claude's 55-Day Personality Transplant
Anthropic leaked 55 days of system prompt updates. See exactly how they rewired Claude's personality, safety rules, and self-awareness.
#1818: Inside Claude's Constitution: A System Prompt Deep Dive
We analyzed Claude Opus 4.6's full public system prompt to uncover its hidden rules for safety, product behavior, and refusal logic.
#1817: The Hidden Taxonomy of AI: Why Specialized Models Outperform Giants
Explore the vast ecosystem of niche AI models for computer vision and document understanding, far beyond large language models.
#1816: Is the Browser Finally Getting a Brain?
The browser is evolving from a static window into a collaborator that understands, organizes, and acts for you.
#1814: Firefox vs. Chrome in 2026: The Privacy vs. AI Trade-off
Chrome dominates with 68% market share, but Firefox holds its ground with a privacy-first approach. We compare their 2026 performance, AI features,...
#1812: When AI Gets a Truth Tether to the Talmud
Sefaria's new MCP server connects AI directly to 2,700 years of Jewish texts, transforming how scholars and curious learners study ancient literature.
#1811: Stop Hardcoding User Names in AI Prompts
Three methods for storing user identity in AI agents—and why the "Fat System Prompt" breaks production apps.
#1810: Why Your TTS Sounds Great in English, Terrible Everywhere Else
English AI voices are polished, but global languages hit a wall. Here's why text-to-speech breaks down for Hebrew, Hindi, and beyond.
#1809: The TTS Developer's Dilemma: Size vs. Speed
Stop guessing. We break down the critical trade-offs between model size, latency, and sample rate for production-ready voice apps.
#1808: The Architecture That Made AI Voices Run on a Raspberry Pi
How a model the size of a tweet outperforms billion-dollar giants in the race for perfect AI speech.
#1807: The ABI Trap: Why GPUs Break Docker's Promise
Docker promised "run anywhere," but GPU images make you compile for hours. Here’s why the abstraction breaks down.
#1806: Why Mac Minis Are Eating AI's Hardware Race
Apple Silicon's unified memory is crushing traditional GPUs for local LLMs. Here's why the M4 Mac Mini is the new king of affordable AI hardware.
#1804: The Fork in the Road: Why AI Agents Check Old Receipts First
Stop your AI agent from overthinking. Learn why it checks old memories instead of booking flights—and how to fix the "eagerness" problem.
#1799: The Original AI Blueprints: BERT & CLIP
Before GPT, two models changed everything. Discover how BERT and CLIP taught machines to read and see the world.
#1794: RAG Is Cheaper Than You Think (Until It’s Not)
From a $1 embedding bill to a $10k/month vector database bill, here’s the real math behind RAG in 2026.
#1792: Google's Native Multimodal Embedding Kills the Fusion Layer
Google’s new embedding model maps text, images, audio, and video into a single vector space—cutting latency by 70%.
#1791: Why the Slowest Animal Has 4 Billion Views
The sloth has replaced the hustle icon. Here's why 4 billion views on TikTok prove we're desperate for metabolic stillness.
#1786: When AI Supervisors Fire AI Workers
A new "Agent-in-the-Loop" framework lets AI models manage and terminate other AI agents in real-time.