
Universities are experiencing an era of only partially capable AI, and understanding the future requires information beyond current campus deployments. DeepMind’s origin story traces the work of co-founder Demis Hassabis, including major breakthroughs such as AlphaGo and AlphaFold. AlphaGo demonstrated mastery of Go, while AlphaFold transformed protein-folding science and earned Hassabis a Nobel Prize. DeepMind’s relationship with Google shifted after ChatGPT’s release in November 2022, moving the organization from a research-lab focus toward engineering and product releases such as Gemini. Despite this shift, DeepMind’s teams still view generative AI as a short phase on the path to more useful, practical, and transformative artificial intelligence.
"Anyone thinking about the future of AI and the university needs to gather information from outside higher education, because basing our understanding of the AI future on the present state of campus AI will limit more than it enlightens."
"Unless you are a total AI nerd, the two things you are likely to know about DeepMind are AlphaGo and AlphaFold. While the first AI mastered Go, the second (for which Hassabis won the Nobel Prize) revolutionized the science of modeling protein folding. Where generative AI gets all the headlines (and campus controversy), advances such as AlphaFold provide glimpses of AI's true trajectory."
"DeepMind, an Alphabet subsidiary, was spun back into the Google mother ship in response to OpenAI's November 2022 release of ChatGPT. As the book details, this changed DeepMind from a research lab (mostly) focused on scientific AI to an engineering team (mostly) focused on product releases, like Gemini."
"Those DeepMind AI scientists and engineers, however, still deeply believe that the current era of generative AI will be a brief stop along the way to useful, practical and transformative artificial gene"
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