Generative AI Is an Engineering Disaster
Summary
The Atlantic piece argues that generative AI is not scaling efficiently, consuming vast memory and energy, driving hardware costs, and challenging the assumption that bigger models yield proportionally better results. It highlights memory shortages, data-center expansion, Moore's Law slowdown, and the shift toward smaller, more efficient approaches.