In this blog post, I cover a range of intriguing topics. There’s an insightful look into a startup called Spare Cores, making cloud pricing clearer, thoughts on organizational design when adopting a product model, and a quirky exploration of improving LLM chess. I also touch on a scientific breakthrough with map traversal algorithms and a glance at Meta’s shift in ad recommendations through AI. Dive in for some fascinating reads!

• Interesting startup idea: benchmarking cloud platform pricing: A team of 3 developers built a neat platform called Spare Cores that makes cloud instance pricing more transparent. A deepdive on how exactly they did it.
• The Product Model and Org Design: Find out if a company reorg is necessary when transforming to the product model and learn about two organizational design models.
• OK, I can partly explain the LLM chess weirdness now: (“make LLMs play better with one weird trick”)
• Scientists Establish the Best Algorithm for Traversing a Map: Dijkstra’s algorithm was long thought to be the most efficient way to find a graph’s best routes. Researchers have now proven that it’s “universally optimal.”
• Sequence learning: A paradigm shift for personalized ads recommendations: AI plays a fundamental role in creating valuable connections between people and advertisers within Meta’s family of apps. Meta’s ad recommendation engine, powered by deep learning recommendation mo…