Nace’s 90/10 agent autonomy works because it generates task adapters, not giant brains
Hypernetworks build per-task model weights from a firm’s policies at inference time, aiming to reduce forgetting and context rot.
By Omar Al-Balawi·· 4 min
4 briefings · “inference”
Hypernetworks build per-task model weights from a firm’s policies at inference time, aiming to reduce forgetting and context rot.
The autonomy pitch finally gets a mechanism: generate task models from policy at inference time and keep humans only for validation.
An independent Appen evaluation backs some of the Miami AI startup’s most expensive-to-dismiss efficiency promises.
The inference infrastructure boom keeps pulling in fresh capital, and it changes how boards price runway, competition, and leverage.