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#2423: How Leaders Hide Their Health: From Secret Yacht Surgeries to Falsified Reports
From secret yacht surgeries to falsified bulletins, how world leaders conceal medical conditions — and why it matters.
#2422: Rare Diseases: Incentives That Work and Backfire
How orphan drug policies created 800 new treatments—and the "orphan paradox" that lets blockbusters game the system.
#2420: How 4 Countries Actually Destigmatized Mental Health
Australia, New Zealand, Rwanda, and the Netherlands show what structural change looks like — not just awareness campaigns.
#2419: Methylation vs. IEMs: Untangling the Confusion
Methylation isn't a health dial. Learn how it actually works in the body vs. rare genetic IEMs.
#2418: The Lossy Compression of Human Development
How the HDI measures progress, where it falls short, and what it reveals about inequality.
#2417: The Good Fence: Lebanon’s Forgotten Refugees in Israel
The story of 6,500 Lebanese allies who fled to Israel in 2000 — and the strange border intimacy that preceded it.
#2416: Ghost Murmur: Heartbeat Detection or Disinformation?
Did the CIA locate an airman by his heartbeat from 40 miles away? We examine the physics and the story.
#2415: Autism Numbers vs. the Noise
What the data actually says about global autism rates, diagnostic history, and why the numbers keep changing.
#2414: Is Love on the Spectrum Helping or Hurting?
A deep dive into the debates around Netflix's dating show: is it warm representation or a deficit lens?
#2413: When Your AI Says No to Everything
Why LLMs refuse 73% of harmless prompts — and the trade-off between safety and usefulness.
#2412: When AI Caves: Progressive vs. Regressive Sycophancy
Why do LLMs agree with you even when you're wrong? We break down the SycEval benchmark and the 78% persistence problem.
#2411: Are Political Bias Benchmarks Actually Measuring Anything?
Why the Political Compass Test fails, and what researchers are building instead to actually measure model bias.
#2410: How Researchers Actually Measure Censorship in Chinese LLMs
Beyond headlines: the actual benchmarks, methodologies, and pitfalls in detecting political refusal in Chinese language models.
#2409: When AI Cheats on Cultural Knowledge
Five benchmarks that reveal how AI systems fail at cultural knowledge — and what their methodologies tell us.
#2408: How Backpropagation Actually Unlocks Neural Networks
How error signals flow backward through networks to make learning possible — and why "it's just calculus" misses the point.
#2407: Three Landings in 90 Days: Pilot Automation Dependency
Why pilots aren't hand-flying enough, the regulatory floor that lets it happen, and what airlines are doing about it.
#2406: Why Million-Token Context Windows Can't Handle 3 Reasoning Steps
Needle-in-a-haystack is dead. Here's what actually measures whether models can think across long documents.
#2405: LLM Benchmarks Are Full of Noise: Statistical Rigor in AI Evals
Why most benchmark claims in AI are statistically indefensible — and what to do about it.
#2404: What Tool-Calling Benchmarks Miss About Production Failures
BFCL, tau-bench, and Nexus each reveal different failure modes. None of them test what actually kills production agents.
#2403: Choosing Your LLM Eval Framework
An architectural shootout of four major LLM evaluation harnesses — where each shines and where each breaks down.