Consider Phlebas (Culture)
by Iain M. Banks
ISBN 13: 978-0316005388
Book description

The first book in Iain M. Banks's seminal science fiction series, The Culture. Consider Phlebas introduces readers to the utopian conglomeration of human and alien races that explores the nature of war, morality, and the limitless bounds of mankind's imagination. The war raged across the galaxy. Billions had died, billions more were doomed. Moons, planets, the very stars themselves, faced destruction, cold-blooded, brutal, and worse, random. The Idirans fought for their Faith; the Culture for its moral right to exist. Principles were at stake. There could be no surrender. Within the cosmic conflict, an individual crusade. Deep within a fabled labyrinth on a barren world, a Planet of the Dead proscribed to mortals, lay a fugitive Mind. Both the Culture and the Idirans sought it. It was the fate of Horza, the Changer, and his motley crew of unpredictable mercenaries, human and machine, actually to find it, and with it their own destruction. The Culture Series Consider Phlebas The Player of Games Use of Weapons The State of the Art Excession Inversions Look to Windward Matter Surface Detail The Hydrogen Sonata


Recommended on 1 episode:

A.I. Could Solve Some of Humanityโ€™s Hardest Problems. It Already Has.
Since the release of ChatGPT, huge amounts of attention and funding have been directed toward chatbots. These A.I. systems are trained on copious amounts of human-generated data and designed to predict the next word in a given sentence. They are hilarious and eerie and at times dangerous. But what if, instead of building A.I. systems that mimic humans, we built those systems to solve some of the most vexing problems facing humanity? In 2020, Google DeepMind unveiled AlphaFold, an A.I. system that uses deep learning to solve one of the most important challenges in all of biology: the so-called protein-folding problem. The ability to predict the shape of proteins is essential for addressing numerous scientific challenges, from vaccine and drug development to curing genetic diseases. But in the 50-plus years since the protein-folding problem had been discovered, scientists had made frustratingly little progress. Enter AlphaFold. By 2022, the system had identified 200 million protein shapes, nearly all the proteins known to humans. DeepMind is also building similar systems to accelerate efforts at nuclear fusion and has spun off Isomorphic Labs, a company developing A.I. tools for drug discovery. Demis Hassabis is the chief executive of Google DeepMind and the leading architect behind AlphaFold. So I asked him on the show to talk me through how AlphaFold actually works, the kinds of problems similar systems could solve and what an alternative pathway for A.I. development could look like.
Demis Hassabis July 11, 2023 3 books recommended
View
by @zachbellay