2 "Essays and Perspectives" Posts

Longer-form perspectives on AI, technology, research, and engineering. These posts step back from implementation details to examine broader questions, assumptions, and implications.

Hash Collisions: Why Your 'Unique' Fingerprints Aren't (And Why That's Usually OK)

The mathematical certainty of hash collisions, the near-impossibility of meaningful ones, and what it means for modern cryptography
What You'll Learn
  • Why hash collisions are mathematically inevitable even with strong algorithms
  • Why a possible collision is very different from a meaningful security threat
  • How MD5 and SHA-1 went from trusted standards to broken algorithms
  • Why modern password storage needs more than a fast hash and a salt
  • When hash collisions matter for security and when they are harmless
  • How crypto-agility helps systems survive when today’s algorithms eventually fail

From Solow to ChatGPT: Why Total Factor Productivity Can't Keep Up With Generative AI

Why a productivity measure built for the industrial economy struggles to capture the value created by generative AI
What You'll Learn
  • What Total Factor Productivity measures and why economists use it to estimate technological progress
  • Why free and inexpensive digital tools can create real value without appearing clearly in productivity statistics
  • Why the benefits of new technologies often arrive before traditional economic measures can detect them
  • How generative AI resembles the productivity paradox that accompanied the rise of computers
  • Why time savings and faster innovation may reveal AI’s economic impact better than TFP alone
  • How measuring human and AI capabilities together could change the way we think about productivity