When random is not actually random enough

When random is not actually random enough

A recent discussion on Hacker News highlights concerns about pseudo-random number generators used in software. The post explains how deterministic algorithms can produce predictable sequences, leading to security vulnerabilities and biased outcomes. Experts recommend using cryptographically secure generators and proper seeding. The conversation underscores the importance of true randomness in applications ranging from cryptography to simulations.

When random is not actually random enough — PinBrief