Trained by our machines
Our chief consultant realizes how effective our machines have been at training us to perform tasks efficiently and exactly.
Our chief consultant realizes how effective our machines have been at training us to perform tasks efficiently and exactly.
A recent article on one of the great scientists in the field of General Relativity prompted our astronomer to reflect on stereotypes in science, and how sometimes they can be very wrong.
Mathematics, at almost any level, can be either practical or ideal. Problems arise when the two kinds are confused.
New technology often makes a task much easier to do. That doesn’t necessarily mean it’s done better.
Our consultants are mostly concerned with teaching science and mathematics, claiming no expertise in the very different skill of teaching language. They have, however, learned several, which gives some insight into the process.
Some people put tremendous effort into extending and filling in their family trees. In the end, what purpose does it serve?
As we progress in school, the lessons get more difficult and complicated. Sometimes they’re difficult because we have to unlearn things.
What a photographer needs to do the job is sometimes far from obvious.
Proving that something doesn’t exist is hard, though it can be done. More often, scientists work out more and more restrictions on the characteristics something can have, until the idea has no place left to hide.