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DebatesWhat counts as AGI? Five competing definitions, the evidence, and why the choice mattersFive serious definitions of AGI, the strongest case for each, what recent evidence shows when you apply them, and why the choice changes the answer.Read the article

FutureHow AI forecasts are made: five methods, their track records, and how to judge a predictionFive ways people forecast AI, how well each has done so far, what careful forecasters now expect, and five questions to judge any prediction.Read the article

MethodHow to read an AI research paper: a practical method and what peer review can and can't tell youA three-pass method for reading AI papers, seven questions for where they mislead, and what the evidence says peer review can and can't tell you.Read the article

SafetyWhat is AI alignment? How labs steer AI systems, and where the evidence says it falls shortWhat alignment means, how labs steer AI models with human and AI feedback, and what recent experiments show about where those methods fall short.Read the article

LandscapeWho builds frontier AI? A map of the labs and playersWho trains the most capable AI models, how close the race really is, where the real gaps lie in compute and money, and where Canada fits.Read the article

ApplicationsAI in sales: what the evidence shows it can and can't doWhere AI measurably lifts sales, where it backfires, and what buyers now expect from the humans who are left in the loop.Read the article

BuildingHow to prompt AI well: what the evidence says works (and what doesn't)What prompting actually is, which techniques hold up under testing, which popular tricks don't, and a simple method you can use this week.Read the article

FoundationsHow AI reasoning works: what thinking models can and can't doWhat "reasoning models" actually do when they think, what the evidence says they can now solve, and where they still break.Read the article

FoundationsWhat is AI? A clear, evidence-based answerA plain-English definition, the evidence on what today's systems can and can't do, and four questions to ask whenever someone says "AI."Read the article

BuildingIs this an AI problem?A practical test for deciding when AI fits, and when it doesn'tWhere AI projects fail, what AI is good at, when a simple rule wins, and a five-question test for deciding whether a task really needs AI. DebatesWhat counts as AGI?Five competing definitions, the evidence, and why the choice mattersFive serious definitions of AGI, the strongest case for each, what recent evidence shows when you apply them, and why the choice changes the answer. FutureHow AI forecasts are madeFive methods, their track records, and how to judge a predictionFive ways people forecast AI, how well each has done so far, what careful forecasters now expect, and five questions to judge any prediction. MethodHow to read an AI research paperA practical method and what peer review can and can't tell youA three-pass method for reading AI papers, seven questions for where they mislead, and what the evidence says peer review can and can't tell you. SafetyWhat is AI alignment?How labs steer AI systems, and where the evidence says it falls shortWhat alignment means, how labs steer AI models with human and AI feedback, and what recent experiments show about where those methods fall short. LandscapeWho builds frontier AI?A map of the labs and playersWho trains the most capable AI models, how close the race really is, where the real gaps lie in compute and money, and where Canada fits. ApplicationsAI in salesWhat the evidence shows it can and can't doWhere AI measurably lifts sales, where it backfires, and what buyers now expect from the humans who are left in the loop. BuildingHow to prompt AI wellWhat the evidence says works (and what doesn't)What prompting actually is, which techniques hold up under testing, which popular tricks don't, and a simple method you can use this week. FoundationsHow AI reasoning worksWhat thinking models can and can't doWhat "reasoning models" actually do when they think, what the evidence says they can now solve, and where they still break. FoundationsWhat is AI?A clear, evidence-based answerA plain-English definition, the evidence on what today's systems can and can't do, and four questions to ask whenever someone says "AI."

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