…when discussing scalable data systems, people make comments along the lines of, “You’re not Google or Amazon. Stop worrying about scale and just use a relational database.” There is truth in that statement: building for scale that you don’t need is wasted effort and may lock you into an inflexible design.

— Martin Kleppmann, Designing Data-Intensive Applications

I came to realize that a private cloud is not really a cloud at all, and it certainly is not a good use of company resources.

— Stephen Orban, Ahead in the Cloud

Goodman’s Grue, is about the limitations of induction. Suppose you have two hypotheses, namely “emeralds are green”, and “emeralds are green and will so remain until New Year’s Day 2050, at which point they will all turn blue.” (This can also be expressed by saying that “emeralds are grue”, where “grue” is defined as “green until 2050 and blue thereafter”.) Statistically, both of these hypotheses are equally confirmed by current observations.

— Christopher Michael Langan, The Art of Knowing

…a talk Dijkstra gave at a conference in 1984: “The Fathers of the field had been pretty confusing: John von Neumann speculated about computers and the human brain in analogies sufficiently wild to be worthy of a medieval thinker and Alan M. Turing thought about criteria to settle the question of whether Machines Can Think, a question of which we now know that it is about as relevant as the question of whether Submarines Can Swim.”

— Chris Bernhardt, Turing’s Vision

Anything, anything at all can be logical. For something to be logical, it just has to be a valid example of reasoning from some set of premises.

— Mark C. Chu-Carroll, Good Math