THE "MISMANAGED GENIUSES" HYPOTHESIS

Summary from the TLDR Founders newsletter

For the last decade, progress in AI came from making a single model bigger and feeding it more data. This post argues that the next leap won't come from scaling further. Current models are already good enough. The real bottleneck is how we organize and coordinate them. Better systems wrapping existing models will outperform one monolithic model trained on everything, and the field is only starting to figure out what that looks like.