Ever since computers became useful tools, mathematicians have had mixed opinions about using the technology to solve mathematical problems. Obviously this is particularly topical when we look at what AI can (and can't) do - but there are plenty of opportunities for the brute force of computing to deal with a tricky mathematical road block, and that's what Paul Nahin sets out to cover here. I'll say straight up front that I think this book would have been better and would have had a wider audience if it had not made excessive assumptions of what a reader knows. In his introductory chapter, Nahin says 'There is nothing in this book that attentive high school students who have taken an AP-calculus or AP-statistics class will find beyond them. This assumption lets me, for example write (as I do in the first chapter) the symbol X without explanation with the expectation that a reader will instantly recognise it as denoting the binomial coefficient...' (I have written X h...
This near-future dystopian view of a tech giant taken to the extreme still has the power to bite thirteen years after it was first published, though some flaws are now more obvious. Central character Mae gets a job at the Circle, a sort of Google+Meta+Musk. To begin with all is wonderful, though even early on she gets a shock when she is disciplined for not RSVPing an invitation to something she wasn't interested in, sent simply because her socials said she had once visited a country. As things get more intense, Mae (who frankly can be a little slow on the uptake) becomes a key figure in the Circle, wearing a streaming camera all day and taking viewers around the campus showing what's happening. The message of the company is no secrets, no lies - with everything in the open the world will be better. This may seem a naive view, but it's interesting that in 2009 the then CEO of Google (referring to the Glass product) said ‘If you have something you don’t want anyone to know, ...