Adam Scholl

Adam Scholl, an insightful author on AI measurement, explores the quirky world of artificial intelligence. He discusses Meta’s 'horizon length' benchmark, questioning its ability to reflect true AI task difficulty and its predictive value for transformative advancements. Adam highlights the weird blend of AI capabilities and failures, pointing out the biases inherent in benchmark selection. He emphasizes caution in interpreting simple tasks as indicators of future AI breakthroughs, sparking a deeper conversation on how we measure progress in this fascinating field.