The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence by Sebastian Mallaby
Printed in March 2026
Universities live by the age of half-crappy AI. Studying The Infinity Machine is an information level in help of the concept that this age will finish ahead of we would suppose.
Anybody enthusiastic about the future of AI and the college wants to assemble info from outdoors larger training, as a result of basing our understanding of the AI future on the current state of campus AI will restrict greater than it enlightens.
The Infinity Machine tells the origin story of DeepMind (now Google DeepMind), and its co-founder, Nobel Prize winner Demis Hassabis. I didn’t know that I’d have an interest in the DeepMind, Google AI or Hassabis story till I learn The Infinity Machine. Half of my enthusiastic advice for the ebook comes right down to the proven fact that Sebastian Mallaby is a terrific author. The (main) half of why I feel you’ll like this ebook, and why it’s value your valuable time to learn, is for what The Infinity Machine would possibly illuminate about the future of campus AI.
Until you’re a complete AI nerd, the two issues you might be prone to find out about DeepMind are AlphaGo and AlphaFold. Whereas the first AI mastered Go, the second (for which Hassabis gained the Nobel Prize) revolutionized the science of modeling protein folding. The place generative AI will get all the headlines (and campus controversy), advances similar to AlphaFold present glimpses of AI’s true trajectory.
DeepMind, an Alphabet subsidiary, was spun again into the Google mom ship in response to OpenAI’s November 2022 launch of ChatGPT. As the ebook particulars, this modified DeepMind from a analysis lab (largely) centered on scientific AI to an engineering workforce (largely) centered on product releases, like Gemini. These DeepMind AI scientists and engineers, nevertheless, nonetheless deeply consider that the present period of generative AI will likely be a quick cease alongside the approach to helpful, sensible and transformative synthetic basic intelligence, also called superintelligence. (Therefore the subtitle of the ebook).
The assumption—a minimum of inside DeepMind—is that what AI did for the discipline of protein science with AlphaFold, tomorrow’s AI will equally revolutionize, properly, all the pieces. How would possibly the analogy of AI-driven advances in protein science map to potential future AI advances in what occurs at faculties and universities? What would possibly change if the AI we use right now stopped hallucinating, gained situational consciousness and have become good sufficient to train judgment?
Can we think about a (close to) future in which ubiquitous, embedded, built-in and embodied AIs function as trusted collaborators relatively than shortcuts for producing suboptimal textual content, decks and spreadsheets?
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