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As a proud Canadian, I’ve always believed our country has a certain "polite" superpower: we are world-class at starting things. We pioneered the first national AI organization in the 1970s , we were the first in the world to launch a National AI Strategy in 2017 , and we currently produce 10% of the world’s leading AI researchers.

But as any Canadian who has waited for a delayed streetcar in a snowstorm knows, the "middle" and "end" of a journey can be a bit more complicated.

In our new report, The Value of Open Source AI for the Canadian Economy, co-authored with my fellow Canadian researcher Anna Hermansen, we took a deep dive into where Canada stands today. The results are a classic Canadian paradox: we are rank-leading in research and venture funding, yet we are "crawling" when it comes to implementing AI in our businesses.

The stakes? Oh, just a casual $180 billion annual boost to our GDP by 2030 if we get this right.

Here is why Anna and I believe the secret to unlocking that potential—and finally moving from the "lab" to the "market"—is open source AI.

...read more at linuxfoundation.org

Dunno much about what's going on in Canada, but my impression of them was that they are getting choked with the same overregulation, sclerotic welfare state, high housing costs, and over-immigration that Europe is also getting choked by.

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65 sats \ 0 replies \ @grayruby 5h

Once the massive public service sector figures out that AI renders them even more useless than they already are it will be squashed in Canada.

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