Explores algorithms for generating Fibonacci numbers, from a naive recursive approach to optimized dynamic programming and iterative solutions.
Explains speculative sampling, a technique using a draft and target model to accelerate large language model text generation.
Explains the Insertion Sort algorithm, its implementation in JavaScript, and compares its efficiency to Bubble Sort.
Explains the performance difference between using `isEmpty` and `count == 0` to check for empty collections in Swift, focusing on time complexity.
A software engineer critiques algorithms interviews, arguing they don't reflect real-world problem-solving, despite providing value by fixing such issues on the job.
Explains Big O notation and algorithmic complexity, arguing why certain algorithms can't outperform a pigeon's efficiency.
