flâneur

Economics of TAI: Unit 1 | Resources: Today's AI systems

bluedot.org · 361 words · saved by 1 readers

Welcome to the course! In this unit, we'll examine how modern artificial intelligence works and what it can do. We'll start with the fundamentals of deep learning - how neural networks learn patterns from data - and trace the field's rapid progression over the last decade. This technical foundation will help us understand why and how AI capabilities have expanded in recent years. Today's AI systems show striking capabilities - from matching human performance on academic tests to generating realistic media to tackling complex research tasks. But their abilities are uneven, with some human-easy tasks remaining challenging while formerly difficult cognitive tasks become routine. Through concrete examples and benchmarks, we'll build an accurate picture of the current technological frontier. Note that we've selected introductory materials for this first unit – more technical papers are available in the further resources for those interested in deeper analysis. By the end of the unit, you sh

Unit 1: Today's AI systems Resources: Today's AI systems Resources (1 hr 30 mins) How Does AI Learn? A Beginner’s Guide with Examples Adam Jones · 2024 · 10 min Create a free account to track your progress and unlock access to the full course content. Visualizing the deep learning revolution Richard Ngo · 2023 · 15 min · Create a free account to track your progress and unlock access to the full course content. Prophecies of the Flood Ethan Mollick · 2025 · 15 min Create a free account to track your progress and unlock access to the full course content. How Fast is AI Improving?…

saved by

related reading