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Cake day: March 29th, 2025

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  • Canada’s small population to serve inference to is an advantage to some extent in such a capex heavy space, but the money being committed federally is pretty tiny. I look at $3.3 billion committed for AI over 5 years when compared with $60B for new subs, $3B for Arctic patrol ships, and up to $27B on F-35s if we go through with that order and don’t think we’re being serious about sovereign AI at all. We don’t have to be an OpenAI spending half a trillion on data centers for training and inference to reach a market of a billion+ people, but $3.3B over 5 years is not being serious about carving out our own independence from hyperscalers.













  • That’s a problem not just in SK. We are set to see energy demand skyrocket, and it’s a bonanza for whichever industry ends up feeding it. The industry players with the political clout and the capacity to rapidly scale if there’s little environmental impact consideration are in O&G. Tim Hodgson was down in Texas not long ago talking about how in order to win the AI race the US needs to catch up to China’s 400MW/year lead in new energy capacity and how that must be achieved using Canadian natural gas. There’s an enormous amount of money to be made in filling that demand, consequences be damned for everyone who isn’t either in on the bonanza or getting their re-election or post-politics career funded via it.