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#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...
#2250: Where AI Safety Researchers Actually Work
Vendor labs, independent research orgs, government agencies—the AI safety field is messier and more diverse than most people realize. A map of wher...
#2249: Building Custom Benchmarks for Agentic Systems
Public benchmarks fail for agentic systems. Learn how to build evaluation frameworks that actually predict production behavior.
#2248: Why Israel Excels at Defense But Fails at Housing
Israel's military and tech sectors are world-class, yet housing costs and education quality lag far behind. The difference comes down to accountabi...
#2247: Building the All-Whiteboard Room: What It Actually Costs
A deep dive into whiteboard paint, porcelain steel panels, glass boards, and the engineering reality of covering every wall—and ceiling—in a worksp...
#2246: Constitutional AI: Anthropic's Theory of Safe Scaling
How Anthropic's Constitutional AI replaces human raters with AI self-critique guided by explicit principles—and what it assumes about the future of...
#2245: Whiteboard Markers: The Tool Everyone Ignores
Why marker quality matters more than the board itself, and what separates a tool that sparks ideas from one that kills them mid-thought.
#2244: When "Global" Recession Means Rich Countries Sneeze
The IMF calls it a global recession when growth dips below 1%—but India grew 6.4% in 2009's "worst recession in decades." Who actually counts?
#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 ...
#2240: Who Does Every Country Owe Money To?
National debt isn't like personal debt. Most countries simultaneously owe money to diffuse creditors while also holding others' debt—creating a cir...
#2239: How AI Benchmarks Became Broken (And What's Replacing Them)
The tests we use to measure AI progress are contaminated, saturated, and gamed. Here's what's actually working.
#2238: What Jerusalem Actually Needs to Survive
Forget the faraday cages. Two hosts design a real emergency syllabus for a city that's lived through actual crises.
#2237: The Hidden Career of Search and Rescue
What does a 20-year career in combat search and rescue actually look like? From downed pilot recoveries to the psychological toll of constant readi...
#2236: Metal at Forty Thousand Feet
Could 1903 metallurgy have built a plane to fly at 40,000 feet? The answer reveals how materials science, not aerodynamics, was aviation's deepest ...
#2235: What IP68 Actually Means (And Doesn't)
IP ratings, MIL-STD-810, drop tests—consumer gear is covered in durability labels. But what do they actually guarantee?
#2234: Memory Isn't One Thing: What Science Actually Knows
Why your memory feels worse than it is, what genes actually control, and whether photographic memory is real—or just a persistent myth.
#2233: Who Actually Wants AI to Slow Down?
Daniel argues AI development should slow down for expertise and stability. But who in the industry actually shares this philosophy beyond the obvio...
#2232: One Remote, Three Streams: Building a Sane Media Setup
A renter juggling six remotes and brittle integrations finds a simpler path: fewer devices, cleaner software, and accepting that Netflix won't play...