Skip to main content

New Theories of Everything – John D. Barrow ****

Could this be the only science book you will ever need to read? After all it is, in effect, trying to assemble an explanation for life, the universe and everything. Those who worry about unweaving the rainbow will perhaps gain some solace in Barrow’s penultimate sentence in the book. ‘No Theory of everything can ever provide total insight.’ I’ll leave you to read the book to discover the punchline.
This is a brave effort from Barrow to break of all of science down to universals, not in the sense of exploring current thinking in every branch of science, but rather pulling apart the tools that science uses – as he calls it, the eightfold way – and getting a better understanding of the insights that everything from an understanding of symmetry to the nature of universal constants brings us. Along the way, he merrily weaves in an impressive range of associations and concepts that will help in the big picture.
I confess I don’t agree entirely with one of the key axioms that leads to Barrow’s description. He says that … we recognize science to be the search for algorithmic compressions. We list sequences of observed data. We try to formulate algorithms that compactly repesent the information content of those sequences. Then we test the correctness of our hypothetical abbreviations by using them to predict the next terms in the string. These predictions can then be compared with the future direction of the data sequence. Without the development of algorithmic compressions of data, all science would be replaced by mindless stamp collecting – the indiscriminate accumulation of every available fact. While there is plenty of truth in this statement, it seems to miss the real big picture explanatory/sense of wonder aspects of science, limiting it to either stamp collecting (information gathering) or reducing numbers to rules that generate those numbers. It’s no surprise that Barrow is a proponent of the ‘it from bit’ concept that considers the whole universe as, in effect, a vast computer program.
The writing style is probably not for everyone. I was a little unnerved by Barrow’s use of the first person plural (‘it is our intention…’) and in general the feel is something between a university lecture and Radio Four’s ‘In our Time.’ Not a bad thing per se, but at the distancing end of popular science. Even so, this is a powerful book and one that repays the indubitable effort required to read it with some intriguing insights.

Hardback:  
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...

Nanotechnology - Rahul Rao ****

There was a time when nanotechnology was both going to transform the world and wipe us out - a similar position to our view of AI today. On the positive transformation side there was K. Eric Drexler's visions in the 1986 Engines of Creation. Arguably as much science fiction as engineering possibilities, it predicted the ability to use vast armies of assemblers to put objects together from individual atoms.  On the negative side was the vision of grey goo, out of control nanotechnology consuming all in its path as it made more and more copies of itself. In 2003, for instance, the then Prince Charles made the headlines  when newspapers reported ‘The prince has raised the spectre of the “grey goo” catastrophe in which sub-microscopic machines designed to share intelligence and replicate themselves take over and devour the planet.’ These days the expectations have been eased down a notch or two. Where nanotechnology has succeeded, it has been with the likes of atom-thick mat...