Clippings of #cdnpoli, #media, and #tech content aimed at those with an interest in Canadian politics and policy. And sometimes Canadian postage stamps.
Prime Minister Justin Trudeau arrived in Kyiv on Saturday for a surprise visit to show Canada's solidarity with Ukraine's ongoing efforts to push back against Russia more than a year after the invasion began. [CP]
Information held by the government is supposed to be yours. Yet at every turn, the process gives institutions incentives to keep records hidden. [Globe and Mail]
Johnston has faced weeks of scrutiny over what the opposition parties called a conflict of interest due to his ties to Trudeau's family and the Pierre Elliott Trudeau Foundation. [Global]
Reliance on foreign military equipment and doubling-up of purchasing authority is hamstringing Canada's international defence obligations. [National Post]
Alberta Premier Danielle Smith's new cabinet has fewer members, four rookies and strong representation for Calgary and rural Alberta. [Edmonton Journal]
On the last day of Quebec's parliamentary session, all fingers pointed to the CAQ, the party in power. But opposition parties had their track records questioned too. [Global]
Former president Donald Trump allegedly lied, schemed and hid boxes from his lawyers to keep highly sensitive military information after leaving the White House. [WaPo]
Republican National Committee Chairwoman Ronna McDaniel said the party “has never said ‘don’t vote early,'” but acknowledged the GOP will have to work to shift voters' perceptions. [Global]
A federal court has ruled that the Canadian Radio-television and Telecommunications Commission (CRTC) erred in its decision penalizing Société Radio-Canada (SRC) for broadcasting the N-word. [CBC]
The findings suggest that consumers are more likely to purchase from brands that share content made by real customers instead of traditional, sponsored influencer content. [The Drum]
Jacob Steinhart: GPT-4 surprised many people with its abilities at coding, creative brainstorming, letter-writing, and other skills. How can we be less surprised by developments in machine learning? In this post, I’ll forecast the properties of large pretrained ML systems in 2030. [Bounded Regret]