I’m not certain, but I think that I won my copy of Hello World: How to Be Human in the Age of the Machine at an Oxford Geek Nights
event, after I was first and fastest to correctly identify a photograph of Stanislav Petrov shown by the speaker.
Despite being written a few years before the popularisation of GenAI, the book’s remarkably prescient on the kinds of big data and opaque decision-making issues that are now hitting the popular press. I suppose one might argue that these issues were always significant. (And by that point, one might observe that GenAI isn’t living up to its promises…)
Fry spins an engaging and well-articulated series of themed topics. If you didn’t already have a healthy concern about public money spending and policy planning being powered by the output of proprietary algorithms, you’ll certainly finish the book that way.
One of my favourite of Fry’s (many) excellent observations is buried in a footnote in the conclusion, where she describes what she called the “magic test”:
There’s a trick you can use to spot the junk algorithms. I like to call it the Magic Test. Whenever you see a story about an algorithm, see if you can swap out any of the buzzwords, like ‘machine learning’, ‘artificial intelligence’ and ‘neural network’, and swap in the word ‘magic’. Does everything still make grammatical sense? Is any of the meaning lost? If not, I’d be worried that it’s all nonsense. Because I’m afraid – long into the foreseeable future – we’re not going to ‘solve world hunger with magic’ or ‘use magic to write the perfect screenplay’ any more than we are with AI.
That’s a fantastic approach to spotting bullshit technical claims, and I’m totally going to be using it.
Anyway: this was a wonderful read and I only regret that it took me a few years to get around to it! But fortunately, it’s as relevant today as it was the day it was released.
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