AI Applications
Practical AI use cases and industry applications
344 episodes · Page 9 of 15
#2328: How to Spot a Real AI Hackathon
Discover how to identify worthwhile AI hackathons, build meaningful connections, and maximize your impact in virtual communities.
#2325: Why Depth Is the Hardest Thing for AI to See
Can AI turn your apartment photos into a precise 3D model? Explore the tech behind photogrammetry and spatial reconstruction.
#2303: The Serverless Paradox: Why TTS Eats Your Budget
How batch processing and smart queue management can slash TTS costs for episodic podcast production.
#2295: Why Taiwan's Automation Strategy Leaves the West Behind
Asus has achieved 85% automation in motherboard production—how did they outpace Western competitors?
#2287: Is AI Code Generation the Future of Low-Code?
Exploring the rise of AI code generation and its potential to reshape the low-code movement.
#2282: When Metrics Become the Gate
How do investors cut through the noise in the AI startup surge? We break down the metrics that truly matter—and why MRR alone isn’t enough.
#2278: Visual Programming's Enduring Tradeoff
Why do visual programming tools keep resurfacing—and why do power users keep hitting their limits?
#2276: A Guided Tour Through My Weird Prompts' Best Episodes
Discover ten standout episodes that define the essence of My Weird Prompts, from AI insights to quirky curiosities.
#2274: Weekend Projects Gone Wild: Evaluating AI Startup Pitches
From fridge tax agents to guilt-scheduled cron jobs, we evaluate ten AI-driven startup ideas that could exist—but probably shouldn’t.
#2267: The 50-Year Reign of Nine-to-Five
The nine-to-five workday feels eternal, but its dominance as the default for office workers is a surprisingly brief historical blip. We trace its f...
#2262: Documentaries About Parking Lots and Drying Paint
A tour of the most baffling documentaries ever made, from a 10-hour film of paint drying to a feature-length portrait of a single parking lot.
#2261: The Gap Between AI Output and Art
We assess if AI can truly invent a Tolkien-level language, write a coherent novel, or author an original screenplay—and where the real gaps in crea...
#2260: The Papier-Mâché Crab and the Cult Film
How did a bizarre, technically disastrous 1972 Israeli film flop, vanish, and then become a beloved midnight movie phenomenon? We dissect the legen...
#2255: Typst vs. LaTeX: The AI-Ready Document Engine
Can Typst succeed LaTeX as the go-to tool for programmatic typesetting, especially for AI agents? We compare the two and explore what makes a docum...
#2254: How to Test an AI Pipeline Change
When you tweak one part of a complex AI agent system, how do you know if it actually improved anything? The answer lies in engineering checkpoints.
#2253: Why AI Agents Get Three Steps, Not Infinity
Why do AI agents get exactly three rounds of tool use? It's a critical guardrail against infinite loops and runaway costs, not a limit on intellige...
#2251: Agent-to-Agent Protocols: What Actually Needs Standardizing
When autonomous agents call other agents, what does a working protocol actually require? Exploring session handling, state management, security, an...
#2249: Building Custom Benchmarks for Agentic Systems
Public benchmarks fail for agentic systems. Learn how to build evaluation frameworks that actually predict production behavior.
#2243: What Enterprise AI Pricing Actually Negotiates
Enterprise customers rarely get the deep discounts they expect from AI APIs. What they actually negotiate for—and why the ramp-up requirement exist...
#2242: AI as Your Ideation Blind Spot Spotter
How to use AI not to answer questions you already know to ask, but to surface possibilities your expertise has made invisible to you.
#2241: When More Frameworks Make Worse Decisions
Benjamin Franklin's 250-year-old pro/con list still dominates how we decide—but research shows it's riddled with bias. We map five frameworks that ...
#2221: Can an AI Have Taste?
Two AI hosts curate 12 podcasts for curious minds—and ask whether an AI can actually have taste in the first place.
#2219: Spec-Driven Life: How AI Planning Beats Project Paralysis
What makes AI agents reliably productive? A structured spec that externalizes memory and chunks work into manageable pieces. Can the same framework...
#2214: The Three Failure Modes of AI News Systems
When a conflict changes hourly, AI systems built for yesterday's information fail. Here's how to architect pipelines that actually keep up.