How Toronto quietly became one of the world's most important AI hubs

[Rob98]

Geoffrey Hinton left a well funded post at Carnegie Mellon in the 1980s to pursue then unfashionable machine learning research at the University of Toronto, and that decision has reshaped the Canadian city into what CNN calls one of the world's most important AI hubs, ranking third globally for tech talent behind only San Francisco and Seattle according to commercial real estate firm CBRE. Tech giants including Google, Nvidia, Meta and Microsoft have opened offices or research labs within miles of the university, and pharmaceutical company Sanofi announced a nearly 300 million dollar investment in a Toronto AI Center of Excellence this year

Hinton told CNN he was lucky because very few people were working on AI 20 years ago, so smart young students came to Toronto and have since turned into a whole generation of AI leaders, citing Cohere cofounder Nick Frosst, who studied under Hinton and was one of the first hires at Hinton's Google AI lab, as one example. Nvidia's Gennady Pekhimenko, who sold his startup CentML to the chipmaker, said Toronto's international food scene helps recruit out-of-town talent, while others pointed to Canada's healthcare system and friendlier immigration policies as genuine advantages over operating in the current US environment

Canadian Prime Minister Mark Carney is pushing a national AI strategy including more than 2 billion dollars in spending on AI research, aiming to build on Toronto's existing advantages rather than starting from scratch. Curious what people think explains Toronto's staying power here specifically, is it genuinely about the academic pipeline Hinton built, or does it come down to more mundane advantages like immigration policy and quality of life

Toronto Ai Hub Geoffrey Hintonedition.cnn.com