In its earlier days, artificial intelligence was often mocked for giving users false or even absurd answers. But AI was feared as well, not least for its potential to do more harm than good. As it has advanced, AI has become seemingly more reliable. But can it ever produce unbiased truth? Technology analyst Gleb Lisikh opens up the black box of the large language models underlying today’s proliferating AI apps to reveal the misunderstanding – or hoax – at the core of that question. LLMs cannot think, Lisikh explains in Part I of this two-part series – nor can they seek the truth – because they just aren’t designed to.
Christine Van Geyn: In Case of Emergency, Break Law? Why the Federal Court of Appeal Hammered Trudeau’s Use of the Emergencies Act
It’s a rare and beautiful thing to see Canada’s courts strike a blow for individual freedom, but that’s what happened in an Ottawa courthouse last