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.
Too Clever by Half: Why Ottawa’s Clarity Act Helps Neither Side in Alberta’s Separation Debate
The House of Commons once had an effective law in front of it that laid out clear steps to assure that any provincial referendum on